Michael Chus
813e2f86a9
- Add RampStep/RampTotal/RampRunID to NvidiaBenchmarkOptions, taskParams, and NvidiaBenchmarkResult so ramp-up steps can be correlated across result.json files - Add ScalabilityScore field to NvidiaBenchmarkResult (placeholder; computed externally by comparing ramp-up step results sharing the same ramp_run_id) - Propagate ramp fields through api.go (generates shared ramp_run_id at spawn time), tasks.go handler, and benchmark.go result population - Apply ServerPower penalty to CompositeScore when IPMI reporting_ratio < 0.75: factor = ratio/0.75, applied per-GPU with a note explaining the reduction - Add finding when server power delta exceeds GPU-reported sum by >25% (non-GPU draw) - Report header now shows ramp step N/M and run ID instead of "parallel" when in ramp mode; shows scalability_score when non-zero Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
1918 lines
64 KiB
Go
1918 lines
64 KiB
Go
package platform
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import (
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"context"
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"encoding/csv"
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"encoding/json"
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"fmt"
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"math"
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"os"
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"os/exec"
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"path/filepath"
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"regexp"
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"sort"
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"strconv"
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"strings"
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"time"
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)
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const benchmarkVersion = "1"
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type benchmarkProfileSpec struct {
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Name string
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BaselineSec int
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WarmupSec int
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SteadySec int
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NCCLSec int
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CooldownSec int
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}
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type benchmarkGPUInfo struct {
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Index int
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UUID string
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Name string
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BusID string
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VBIOS string
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PowerLimitW float64
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DefaultPowerLimitW float64
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MaxGraphicsClockMHz float64
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MaxMemoryClockMHz float64
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BaseGraphicsClockMHz float64
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MultiprocessorCount int
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}
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type benchmarkBurnProfile struct {
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name string
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category string
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supported bool
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lanes int
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m uint64
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n uint64
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k uint64
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iterations uint64
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notes string
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}
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type benchmarkBurnParseResult struct {
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Device string
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ComputeCapability string
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Backend string
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DurationSec int
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Profiles []BenchmarkPrecisionResult
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Fallback bool
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}
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type benchmarkRestoreAction struct {
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name string
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fn func()
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}
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var (
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benchmarkReadyPattern = regexp.MustCompile(`^([a-z0-9_]+)\[(\d+)\]=READY dim=(\d+)x(\d+)x(\d+)\b`)
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benchmarkSkippedPattern = regexp.MustCompile(`^([a-z0-9_]+)(?:\[\d+\])?=SKIPPED (.+)$`)
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benchmarkIterationsPattern = regexp.MustCompile(`^([a-z0-9_]+)_iterations=(\d+)$`)
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)
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func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts NvidiaBenchmarkOptions, logFunc func(string)) (string, error) {
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if ctx == nil {
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ctx = context.Background()
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}
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if logFunc == nil {
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logFunc = func(string) {}
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}
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if strings.TrimSpace(baseDir) == "" {
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baseDir = "/var/log/bee-benchmark"
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}
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spec := resolveBenchmarkProfile(opts.Profile)
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opts = normalizeNvidiaBenchmarkOptionsForBenchmark(opts)
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selected, err := resolveNvidiaGPUSelection(opts.GPUIndices, opts.ExcludeGPUIndices)
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if err != nil {
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return "", err
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}
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if len(selected) == 0 {
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return "", fmt.Errorf("no NVIDIA GPUs selected")
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}
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ts := time.Now().UTC().Format("20060102-150405")
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runDir := filepath.Join(baseDir, "gpu-benchmark-"+ts)
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if err := os.MkdirAll(runDir, 0755); err != nil {
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return "", fmt.Errorf("mkdir %s: %w", runDir, err)
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}
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verboseLog := filepath.Join(runDir, "verbose.log")
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hostname, _ := os.Hostname()
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result := NvidiaBenchmarkResult{
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BenchmarkVersion: benchmarkVersion,
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GeneratedAt: time.Now().UTC(),
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Hostname: hostname,
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ServerModel: readServerModel(),
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BenchmarkProfile: spec.Name,
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ParallelGPUs: opts.ParallelGPUs,
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RampStep: opts.RampStep,
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RampTotal: opts.RampTotal,
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RampRunID: opts.RampRunID,
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SelectedGPUIndices: append([]int(nil), selected...),
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HostConfig: readBenchmarkHostConfig(),
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Normalization: BenchmarkNormalization{
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Status: "full",
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},
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}
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logFunc(fmt.Sprintf("NVIDIA benchmark profile=%s gpus=%s", spec.Name, joinIndexList(selected)))
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// Server power characterization state — populated during per-GPU phases.
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var serverIdleW, serverLoadedWSum float64
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var serverIdleOK, serverLoadedOK bool
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var serverLoadedSamples int
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// Run nvidia-smi -q first: used both for the log file and as a fallback
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// source of max clock values when CSV clock fields are unsupported.
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var nvsmiQOut []byte
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if out, err := runSATCommandCtx(ctx, verboseLog, "00-nvidia-smi-q.log", []string{"nvidia-smi", "-q"}, nil, nil); err == nil {
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nvsmiQOut = out
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_ = os.WriteFile(filepath.Join(runDir, "00-nvidia-smi-q.log"), out, 0644)
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}
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infoByIndex, infoErr := queryBenchmarkGPUInfo(selected)
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if infoErr != nil {
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result.Warnings = append(result.Warnings, "gpu inventory query failed: "+infoErr.Error())
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result.Normalization.Status = "partial"
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}
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// Enrich with max clocks from verbose output — covers GPUs where
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// clocks.max.* CSV fields are unsupported (e.g. Blackwell / driver 98.x).
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enrichGPUInfoWithMaxClocks(infoByIndex, nvsmiQOut)
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activeApps, err := queryActiveComputeApps(selected)
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if err == nil && len(activeApps) > 0 {
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result.Warnings = append(result.Warnings, "active GPU compute processes detected before benchmark")
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result.Normalization.Notes = append(result.Normalization.Notes, activeApps...)
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result.Normalization.Status = "partial"
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}
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restoreActions := applyBenchmarkNormalization(ctx, verboseLog, selected, infoByIndex, &result)
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defer func() {
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for i := len(restoreActions) - 1; i >= 0; i-- {
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restoreActions[i].fn()
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}
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}()
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// Power calibration: run dcgmi targeted_power while sampling nvidia-smi power.
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// Returns per-GPU p95 power as an honest TDP reference for PowerSustainScore.
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calibPowerByIndex := runBenchmarkPowerCalibration(ctx, verboseLog, runDir, selected, logFunc)
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// Start background CPU load sampler — samples every 10s during GPU phases.
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cpuStopCh := make(chan struct{})
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cpuSamplesCh := startCPULoadSampler(cpuStopCh, 10)
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if opts.ParallelGPUs {
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runNvidiaBenchmarkParallel(ctx, verboseLog, runDir, selected, infoByIndex, opts, spec, logFunc, &result, calibPowerByIndex, &serverIdleW, &serverLoadedWSum, &serverIdleOK, &serverLoadedOK, &serverLoadedSamples)
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} else {
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for _, idx := range selected {
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gpuResult := BenchmarkGPUResult{
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Index: idx,
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Status: "FAILED",
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}
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if info, ok := infoByIndex[idx]; ok {
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gpuResult.UUID = info.UUID
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gpuResult.Name = info.Name
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gpuResult.BusID = info.BusID
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gpuResult.VBIOS = info.VBIOS
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gpuResult.PowerLimitW = info.PowerLimitW
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gpuResult.MultiprocessorCount = info.MultiprocessorCount
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gpuResult.DefaultPowerLimitW = info.DefaultPowerLimitW
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gpuResult.MaxGraphicsClockMHz = info.MaxGraphicsClockMHz
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gpuResult.BaseGraphicsClockMHz = info.BaseGraphicsClockMHz
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gpuResult.MaxMemoryClockMHz = info.MaxMemoryClockMHz
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}
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if w, ok := calibPowerByIndex[idx]; ok && w > 0 {
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gpuResult.CalibratedPeakPowerW = w
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}
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if norm := findBenchmarkNormalization(result.Normalization.GPUs, idx); norm != nil {
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gpuResult.LockedGraphicsClockMHz = norm.GPUClockLockMHz
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gpuResult.LockedMemoryClockMHz = norm.MemoryClockLockMHz
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}
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baselineRows, err := collectBenchmarkSamples(ctx, spec.BaselineSec, []int{idx})
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if err != nil && err != context.Canceled {
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gpuResult.Notes = append(gpuResult.Notes, "baseline sampling failed: "+err.Error())
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}
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gpuResult.Baseline = summarizeBenchmarkTelemetry(baselineRows)
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writeBenchmarkMetricsFiles(runDir, fmt.Sprintf("gpu-%d-baseline", idx), baselineRows)
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// Sample server idle power once (first GPU only — server state is global).
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if !serverIdleOK {
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if w, ok := sampleIPMIPowerSeries(ctx, maxInt(spec.BaselineSec, 10)); ok {
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serverIdleW = w
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serverIdleOK = true
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logFunc(fmt.Sprintf("server idle power (IPMI): %.0f W", w))
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}
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}
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warmupCmd := []string{
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"bee-gpu-burn",
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"--seconds", strconv.Itoa(spec.WarmupSec),
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"--size-mb", strconv.Itoa(opts.SizeMB),
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"--devices", strconv.Itoa(idx),
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}
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logFunc(fmt.Sprintf("GPU %d: warmup (%ds)", idx, spec.WarmupSec))
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warmupOut, _, warmupErr := runBenchmarkCommandWithMetrics(ctx, verboseLog, fmt.Sprintf("gpu-%d-warmup.log", idx), warmupCmd, nil, []int{idx}, runDir, fmt.Sprintf("gpu-%d-warmup", idx), logFunc)
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_ = os.WriteFile(filepath.Join(runDir, fmt.Sprintf("gpu-%d-warmup.log", idx)), warmupOut, 0644)
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if warmupErr != nil {
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gpuResult.Notes = append(gpuResult.Notes, "warmup failed: "+warmupErr.Error())
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result.GPUs = append(result.GPUs, finalizeBenchmarkGPUResult(gpuResult))
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continue
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}
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beforeThrottle, _ := queryThrottleCounters(idx)
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steadyCmd := []string{
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"bee-gpu-burn",
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"--seconds", strconv.Itoa(spec.SteadySec),
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"--size-mb", strconv.Itoa(opts.SizeMB),
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"--devices", strconv.Itoa(idx),
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}
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logFunc(fmt.Sprintf("GPU %d: steady compute (%ds)", idx, spec.SteadySec))
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// Sample server power via IPMI in parallel with the steady phase.
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// We collect readings every 5s and average them.
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ipmiStopCh := make(chan struct{})
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ipmiResultCh := make(chan float64, 1)
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go func() {
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defer close(ipmiResultCh)
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var samples []float64
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ticker := time.NewTicker(5 * time.Second)
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defer ticker.Stop()
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// First sample after a short warmup delay.
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select {
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case <-ipmiStopCh:
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return
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case <-time.After(15 * time.Second):
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}
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for {
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if w, err := queryIPMIServerPowerW(); err == nil {
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samples = append(samples, w)
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}
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select {
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case <-ipmiStopCh:
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if len(samples) > 0 {
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var sum float64
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for _, w := range samples {
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sum += w
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}
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ipmiResultCh <- sum / float64(len(samples))
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}
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return
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case <-ticker.C:
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}
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}
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}()
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steadyOut, steadyRows, steadyErr := runBenchmarkCommandWithMetrics(ctx, verboseLog, fmt.Sprintf("gpu-%d-steady.log", idx), steadyCmd, nil, []int{idx}, runDir, fmt.Sprintf("gpu-%d-steady", idx), logFunc)
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close(ipmiStopCh)
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if loadedW, ok := <-ipmiResultCh; ok {
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serverLoadedWSum += loadedW
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serverLoadedSamples++
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serverLoadedOK = true
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logFunc(fmt.Sprintf("GPU %d: server loaded power (IPMI): %.0f W", idx, loadedW))
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}
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_ = os.WriteFile(filepath.Join(runDir, fmt.Sprintf("gpu-%d-steady.log", idx)), steadyOut, 0644)
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afterThrottle, _ := queryThrottleCounters(idx)
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if steadyErr != nil {
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gpuResult.Notes = append(gpuResult.Notes, "steady compute failed: "+steadyErr.Error())
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}
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parseResult := parseBenchmarkBurnLog(string(steadyOut))
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gpuResult.ComputeCapability = parseResult.ComputeCapability
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gpuResult.Backend = parseResult.Backend
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gpuResult.PrecisionResults = parseResult.Profiles
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if parseResult.Fallback {
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gpuResult.Notes = append(gpuResult.Notes, "benchmark used driver PTX fallback; tensor throughput score is not comparable")
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}
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gpuResult.Steady = summarizeBenchmarkTelemetry(steadyRows)
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gpuResult.Throttle = diffThrottleCounters(beforeThrottle, afterThrottle)
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cooldownRows, err := collectBenchmarkSamples(ctx, spec.CooldownSec, []int{idx})
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if err != nil && err != context.Canceled {
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gpuResult.Notes = append(gpuResult.Notes, "cooldown sampling failed: "+err.Error())
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}
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gpuResult.Cooldown = summarizeBenchmarkTelemetry(cooldownRows)
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writeBenchmarkMetricsFiles(runDir, fmt.Sprintf("gpu-%d-cooldown", idx), cooldownRows)
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gpuResult.Scores = scoreBenchmarkGPUResult(gpuResult)
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gpuResult.DegradationReasons = detectBenchmarkDegradationReasons(gpuResult, result.Normalization.Status)
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if steadyErr != nil {
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gpuResult.Status = classifySATErrorStatus(steadyOut, steadyErr)
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} else if parseResult.Fallback {
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gpuResult.Status = "PARTIAL"
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} else {
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gpuResult.Status = "OK"
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}
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result.GPUs = append(result.GPUs, finalizeBenchmarkGPUResult(gpuResult))
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}
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} // end sequential path
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if len(selected) > 1 && opts.RunNCCL {
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result.Interconnect = runBenchmarkInterconnect(ctx, verboseLog, runDir, selected, spec, logFunc)
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if result.Interconnect != nil && result.Interconnect.Supported {
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for i := range result.GPUs {
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result.GPUs[i].Scores.InterconnectScore = result.Interconnect.MaxBusBWGBps
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result.GPUs[i].Scores.CompositeScore = compositeBenchmarkScore(result.GPUs[i].Scores)
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}
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}
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}
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// Stop CPU load sampler and attach results.
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close(cpuStopCh)
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if cpuSamples := <-cpuSamplesCh; len(cpuSamples) > 0 {
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result.CPULoad = summarizeCPULoad(cpuSamples)
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if result.CPULoad != nil && result.CPULoad.Status != "ok" {
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logFunc(fmt.Sprintf("host CPU load during benchmark: avg=%.1f%% max=%.1f%% status=%s",
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result.CPULoad.AvgPct, result.CPULoad.MaxPct, result.CPULoad.Status))
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}
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}
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// Compute server power characterization from accumulated IPMI samples.
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var gpuReportedSumW float64
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for _, gpu := range result.GPUs {
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gpuReportedSumW += gpu.Steady.AvgPowerW
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}
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var serverLoadedW float64
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if serverLoadedSamples > 0 {
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serverLoadedW = serverLoadedWSum / float64(serverLoadedSamples)
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}
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result.ServerPower = characterizeServerPower(serverIdleW, serverLoadedW, gpuReportedSumW, serverIdleOK && serverLoadedOK)
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// Apply server-power penalty when IPMI reports the server delta is much
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// lower than GPU-reported sum: GPU power telemetry is over-stated, making
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// CalibratedPeakPowerW and PowerSustainScore unreliable.
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// Penalty factor scales from 1.0 (ratio ≥ 0.75, no penalty) down to 0.
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if sp := result.ServerPower; sp != nil && sp.Available && sp.ReportingRatio > 0 && sp.ReportingRatio < 0.75 {
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factor := sp.ReportingRatio / 0.75
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for i := range result.GPUs {
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result.GPUs[i].Scores.CompositeScore *= factor
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result.GPUs[i].Notes = append(result.GPUs[i].Notes,
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fmt.Sprintf("server-power penalty applied (reporting_ratio=%.2f < 0.75): composite score reduced to %.1f%%",
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sp.ReportingRatio, factor*100))
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}
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}
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result.Findings = buildBenchmarkFindings(result)
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result.OverallStatus = benchmarkOverallStatus(result)
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resultJSON, err := json.MarshalIndent(result, "", " ")
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if err != nil {
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return "", fmt.Errorf("marshal benchmark result: %w", err)
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}
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if err := os.WriteFile(filepath.Join(runDir, "result.json"), resultJSON, 0644); err != nil {
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return "", fmt.Errorf("write result.json: %w", err)
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}
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report := renderBenchmarkReportWithCharts(result, loadBenchmarkReportCharts(runDir, selected))
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if err := os.WriteFile(filepath.Join(runDir, "report.md"), []byte(report), 0644); err != nil {
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return "", fmt.Errorf("write report.md: %w", err)
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}
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summary := renderBenchmarkSummary(result)
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if err := os.WriteFile(filepath.Join(runDir, "summary.txt"), []byte(summary), 0644); err != nil {
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return "", fmt.Errorf("write summary.txt: %w", err)
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}
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return runDir, nil
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}
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func normalizeNvidiaBenchmarkOptionsForBenchmark(opts NvidiaBenchmarkOptions) NvidiaBenchmarkOptions {
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switch strings.TrimSpace(strings.ToLower(opts.Profile)) {
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case NvidiaBenchmarkProfileStability:
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opts.Profile = NvidiaBenchmarkProfileStability
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case NvidiaBenchmarkProfileOvernight:
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opts.Profile = NvidiaBenchmarkProfileOvernight
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default:
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opts.Profile = NvidiaBenchmarkProfileStandard
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}
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if opts.SizeMB < 0 {
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opts.SizeMB = 0
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}
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opts.GPUIndices = dedupeSortedIndices(opts.GPUIndices)
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opts.ExcludeGPUIndices = dedupeSortedIndices(opts.ExcludeGPUIndices)
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return opts
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}
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func resolveBenchmarkProfile(profile string) benchmarkProfileSpec {
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switch strings.TrimSpace(strings.ToLower(profile)) {
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case NvidiaBenchmarkProfileStability:
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return benchmarkProfileSpec{Name: NvidiaBenchmarkProfileStability, BaselineSec: 30, WarmupSec: 300, SteadySec: 3600, NCCLSec: 300, CooldownSec: 300}
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case NvidiaBenchmarkProfileOvernight:
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return benchmarkProfileSpec{Name: NvidiaBenchmarkProfileOvernight, BaselineSec: 60, WarmupSec: 600, SteadySec: 27000, NCCLSec: 600, CooldownSec: 300}
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default:
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return benchmarkProfileSpec{Name: NvidiaBenchmarkProfileStandard, BaselineSec: 15, WarmupSec: 120, SteadySec: 480, NCCLSec: 180, CooldownSec: 120}
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}
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}
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// benchmarkGPUInfoQuery describes a nvidia-smi --query-gpu field set to try.
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// Fields are tried in order; the first successful query wins. Extended fields
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// (attribute.multiprocessor_count, power.default_limit) are not supported on
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// all driver versions, so we fall back to the base set if the full query fails.
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// The minimal fallback omits clock fields entirely — clocks.max.* returns
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// exit status 2 on some GPU generations (e.g. Blackwell); max clocks are
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// then recovered from nvidia-smi -q via enrichGPUInfoWithMaxClocks.
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var benchmarkGPUInfoQueries = []struct {
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fields string
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extended bool // whether this query includes optional extended fields
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minimal bool // clock fields omitted; max clocks must be filled separately
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}{
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{
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fields: "index,uuid,name,pci.bus_id,vbios_version,power.limit,clocks.max.graphics,clocks.max.memory,clocks.base.graphics,attribute.multiprocessor_count,power.default_limit",
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extended: true,
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},
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{
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fields: "index,uuid,name,pci.bus_id,vbios_version,power.limit,clocks.max.graphics,clocks.max.memory,clocks.base.graphics",
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extended: false,
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},
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{
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fields: "index,uuid,name,pci.bus_id,vbios_version,power.limit",
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minimal: true,
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},
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}
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// enrichGPUInfoWithMaxClocks fills MaxGraphicsClockMHz / MaxMemoryClockMHz for
|
||
// any GPU in infoByIndex where those values are still zero. It parses the
|
||
// "Max Clocks" section of nvidia-smi -q output (already available as nvsmiQ).
|
||
// This is the fallback for GPUs (e.g. Blackwell) where clocks.max.* CSV fields
|
||
// return exit status 2 but the verbose query works fine.
|
||
func enrichGPUInfoWithMaxClocks(infoByIndex map[int]benchmarkGPUInfo, nvsmiQ []byte) {
|
||
if len(infoByIndex) == 0 || len(nvsmiQ) == 0 {
|
||
return
|
||
}
|
||
|
||
// Build bus_id → index map for matching verbose sections to GPU indices.
|
||
busToBenchIdx := make(map[string]int, len(infoByIndex))
|
||
for idx, info := range infoByIndex {
|
||
if info.BusID != "" {
|
||
// nvidia-smi -q uses "GPU 00000000:4E:00.0" (8-digit domain),
|
||
// while --query-gpu returns the same format; normalise to lower.
|
||
busToBenchIdx[strings.ToLower(strings.TrimSpace(info.BusID))] = idx
|
||
}
|
||
}
|
||
|
||
// Split the verbose output into per-GPU sections on "^GPU " lines.
|
||
gpuSectionRe := regexp.MustCompile(`(?m)^GPU\s+([\dA-Fa-f:\.]+)`)
|
||
maxGfxRe := regexp.MustCompile(`(?i)Max Clocks[\s\S]*?Graphics\s*:\s*(\d+)\s*MHz`)
|
||
maxMemRe := regexp.MustCompile(`(?i)Max Clocks[\s\S]*?Memory\s*:\s*(\d+)\s*MHz`)
|
||
defaultPwrRe := regexp.MustCompile(`(?i)Default Power Limit\s*:\s*([0-9.]+)\s*W`)
|
||
currentPwrRe := regexp.MustCompile(`(?i)Current Power Limit\s*:\s*([0-9.]+)\s*W`)
|
||
smCountRe := regexp.MustCompile(`(?i)Multiprocessor Count\s*:\s*(\d+)`)
|
||
|
||
sectionStarts := gpuSectionRe.FindAllSubmatchIndex(nvsmiQ, -1)
|
||
for i, loc := range sectionStarts {
|
||
busID := strings.ToLower(string(nvsmiQ[loc[2]:loc[3]]))
|
||
benchIdx, ok := busToBenchIdx[busID]
|
||
if !ok {
|
||
// Bus IDs from verbose output may have a different domain prefix;
|
||
// try suffix match on the slot portion (XX:XX.X).
|
||
for k, v := range busToBenchIdx {
|
||
if strings.HasSuffix(k, busID) || strings.HasSuffix(busID, k) {
|
||
benchIdx = v
|
||
ok = true
|
||
break
|
||
}
|
||
}
|
||
}
|
||
if !ok {
|
||
continue
|
||
}
|
||
|
||
end := len(nvsmiQ)
|
||
if i+1 < len(sectionStarts) {
|
||
end = sectionStarts[i+1][0]
|
||
}
|
||
section := nvsmiQ[loc[0]:end]
|
||
|
||
info := infoByIndex[benchIdx]
|
||
|
||
if info.MaxGraphicsClockMHz == 0 {
|
||
if m := maxGfxRe.FindSubmatch(section); m != nil {
|
||
if v, err := strconv.ParseFloat(string(m[1]), 64); err == nil {
|
||
info.MaxGraphicsClockMHz = v
|
||
}
|
||
}
|
||
}
|
||
if info.MaxMemoryClockMHz == 0 {
|
||
if m := maxMemRe.FindSubmatch(section); m != nil {
|
||
if v, err := strconv.ParseFloat(string(m[1]), 64); err == nil {
|
||
info.MaxMemoryClockMHz = v
|
||
}
|
||
}
|
||
}
|
||
if info.DefaultPowerLimitW == 0 {
|
||
if m := defaultPwrRe.FindSubmatch(section); m != nil {
|
||
if v, err := strconv.ParseFloat(string(m[1]), 64); err == nil && v > 0 {
|
||
info.DefaultPowerLimitW = v
|
||
}
|
||
}
|
||
}
|
||
if info.PowerLimitW == 0 {
|
||
if m := currentPwrRe.FindSubmatch(section); m != nil {
|
||
if v, err := strconv.ParseFloat(string(m[1]), 64); err == nil && v > 0 {
|
||
info.PowerLimitW = v
|
||
}
|
||
}
|
||
}
|
||
if info.MultiprocessorCount == 0 {
|
||
if m := smCountRe.FindSubmatch(section); m != nil {
|
||
if v, err := strconv.Atoi(string(m[1])); err == nil && v > 0 {
|
||
info.MultiprocessorCount = v
|
||
}
|
||
}
|
||
}
|
||
infoByIndex[benchIdx] = info
|
||
}
|
||
}
|
||
|
||
func queryBenchmarkGPUInfo(gpuIndices []int) (map[int]benchmarkGPUInfo, error) {
|
||
var lastErr error
|
||
for _, q := range benchmarkGPUInfoQueries {
|
||
args := []string{
|
||
"--query-gpu=" + q.fields,
|
||
"--format=csv,noheader,nounits",
|
||
}
|
||
if len(gpuIndices) > 0 {
|
||
args = append([]string{"--id=" + joinIndexList(gpuIndices)}, args...)
|
||
}
|
||
out, err := satExecCommand("nvidia-smi", args...).Output()
|
||
if err != nil {
|
||
lastErr = fmt.Errorf("nvidia-smi gpu info (%s): %w", q.fields[:min(len(q.fields), 40)], err)
|
||
continue
|
||
}
|
||
|
||
r := csv.NewReader(strings.NewReader(string(out)))
|
||
r.TrimLeadingSpace = true
|
||
r.FieldsPerRecord = -1
|
||
rows, err := r.ReadAll()
|
||
if err != nil {
|
||
lastErr = fmt.Errorf("parse nvidia-smi gpu info: %w", err)
|
||
continue
|
||
}
|
||
|
||
minFields := 6
|
||
if !q.minimal {
|
||
minFields = 9
|
||
}
|
||
infoByIndex := make(map[int]benchmarkGPUInfo, len(rows))
|
||
for _, row := range rows {
|
||
if len(row) < minFields {
|
||
continue
|
||
}
|
||
idx, err := strconv.Atoi(strings.TrimSpace(row[0]))
|
||
if err != nil {
|
||
continue
|
||
}
|
||
info := benchmarkGPUInfo{
|
||
Index: idx,
|
||
UUID: strings.TrimSpace(row[1]),
|
||
Name: strings.TrimSpace(row[2]),
|
||
BusID: strings.TrimSpace(row[3]),
|
||
VBIOS: strings.TrimSpace(row[4]),
|
||
PowerLimitW: parseBenchmarkFloat(row[5]),
|
||
}
|
||
if !q.minimal {
|
||
info.MaxGraphicsClockMHz = parseBenchmarkFloat(row[6])
|
||
info.MaxMemoryClockMHz = parseBenchmarkFloat(row[7])
|
||
if len(row) >= 9 {
|
||
info.BaseGraphicsClockMHz = parseBenchmarkFloat(row[8])
|
||
}
|
||
if q.extended {
|
||
if len(row) >= 10 {
|
||
info.MultiprocessorCount = int(parseBenchmarkFloat(row[9]))
|
||
}
|
||
if len(row) >= 11 {
|
||
info.DefaultPowerLimitW = parseBenchmarkFloat(row[10])
|
||
}
|
||
}
|
||
}
|
||
infoByIndex[idx] = info
|
||
}
|
||
return infoByIndex, nil
|
||
}
|
||
return nil, lastErr
|
||
}
|
||
|
||
|
||
func applyBenchmarkNormalization(ctx context.Context, verboseLog string, gpuIndices []int, infoByIndex map[int]benchmarkGPUInfo, result *NvidiaBenchmarkResult) []benchmarkRestoreAction {
|
||
if os.Geteuid() != 0 {
|
||
result.Normalization.Status = "partial"
|
||
result.Normalization.Notes = append(result.Normalization.Notes, "benchmark normalization skipped: root privileges are required for persistence mode and clock locks")
|
||
for _, idx := range gpuIndices {
|
||
result.Normalization.GPUs = append(result.Normalization.GPUs, BenchmarkNormalizationGPU{
|
||
Index: idx,
|
||
Notes: []string{"normalization skipped: root privileges are required"},
|
||
})
|
||
}
|
||
return nil
|
||
}
|
||
|
||
var restore []benchmarkRestoreAction
|
||
for _, idx := range gpuIndices {
|
||
rec := BenchmarkNormalizationGPU{Index: idx}
|
||
if _, err := runSATCommandCtx(ctx, verboseLog, fmt.Sprintf("normalize-gpu-%d-pm", idx), []string{"nvidia-smi", "-i", strconv.Itoa(idx), "-pm", "1"}, nil, nil); err != nil {
|
||
rec.PersistenceMode = "failed"
|
||
rec.Notes = append(rec.Notes, "failed to enable persistence mode")
|
||
result.Normalization.Status = "partial"
|
||
} else {
|
||
rec.PersistenceMode = "applied"
|
||
}
|
||
|
||
if info, ok := infoByIndex[idx]; ok && info.MaxGraphicsClockMHz > 0 {
|
||
target := int(math.Round(info.MaxGraphicsClockMHz))
|
||
if out, err := runSATCommandCtx(ctx, verboseLog, fmt.Sprintf("normalize-gpu-%d-lgc", idx), []string{"nvidia-smi", "-i", strconv.Itoa(idx), "-lgc", strconv.Itoa(target)}, nil, nil); err != nil {
|
||
rec.GPUClockLockStatus = "failed"
|
||
rec.Notes = append(rec.Notes, "graphics clock lock failed: "+strings.TrimSpace(string(out)))
|
||
result.Normalization.Status = "partial"
|
||
} else {
|
||
rec.GPUClockLockStatus = "applied"
|
||
rec.GPUClockLockMHz = float64(target)
|
||
idxCopy := idx
|
||
restore = append(restore, benchmarkRestoreAction{name: fmt.Sprintf("gpu-%d-rgc", idxCopy), fn: func() {
|
||
_, _ = runSATCommandCtx(context.Background(), verboseLog, fmt.Sprintf("restore-gpu-%d-rgc", idxCopy), []string{"nvidia-smi", "-i", strconv.Itoa(idxCopy), "-rgc"}, nil, nil)
|
||
}})
|
||
}
|
||
} else {
|
||
rec.GPUClockLockStatus = "skipped"
|
||
rec.Notes = append(rec.Notes, "graphics clock lock skipped: gpu inventory unavailable or MaxGraphicsClockMHz=0")
|
||
result.Normalization.Status = "partial"
|
||
}
|
||
|
||
if info, ok := infoByIndex[idx]; ok && info.MaxMemoryClockMHz > 0 {
|
||
target := int(math.Round(info.MaxMemoryClockMHz))
|
||
out, err := runSATCommandCtx(ctx, verboseLog, fmt.Sprintf("normalize-gpu-%d-lmc", idx), []string{"nvidia-smi", "-i", strconv.Itoa(idx), "-lmc", strconv.Itoa(target)}, nil, nil)
|
||
switch {
|
||
case err == nil:
|
||
rec.MemoryClockLockStatus = "applied"
|
||
rec.MemoryClockLockMHz = float64(target)
|
||
idxCopy := idx
|
||
restore = append(restore, benchmarkRestoreAction{name: fmt.Sprintf("gpu-%d-rmc", idxCopy), fn: func() {
|
||
_, _ = runSATCommandCtx(context.Background(), verboseLog, fmt.Sprintf("restore-gpu-%d-rmc", idxCopy), []string{"nvidia-smi", "-i", strconv.Itoa(idxCopy), "-rmc"}, nil, nil)
|
||
}})
|
||
case strings.Contains(strings.ToLower(string(out)), "deferred") || strings.Contains(strings.ToLower(string(out)), "not supported"):
|
||
rec.MemoryClockLockStatus = "unsupported"
|
||
rec.Notes = append(rec.Notes, "memory clock lock unsupported on this GPU/driver path")
|
||
result.Normalization.Status = "partial"
|
||
default:
|
||
rec.MemoryClockLockStatus = "failed"
|
||
rec.Notes = append(rec.Notes, "memory clock lock failed: "+strings.TrimSpace(string(out)))
|
||
result.Normalization.Status = "partial"
|
||
}
|
||
}
|
||
|
||
result.Normalization.GPUs = append(result.Normalization.GPUs, rec)
|
||
}
|
||
return restore
|
||
}
|
||
|
||
func collectBenchmarkSamples(ctx context.Context, durationSec int, gpuIndices []int) ([]GPUMetricRow, error) {
|
||
if durationSec <= 0 {
|
||
return nil, nil
|
||
}
|
||
deadline := time.Now().Add(time.Duration(durationSec) * time.Second)
|
||
var rows []GPUMetricRow
|
||
start := time.Now()
|
||
for {
|
||
if ctx.Err() != nil {
|
||
return rows, ctx.Err()
|
||
}
|
||
samples, err := sampleGPUMetrics(gpuIndices)
|
||
if err == nil {
|
||
elapsed := time.Since(start).Seconds()
|
||
for i := range samples {
|
||
samples[i].ElapsedSec = elapsed
|
||
}
|
||
rows = append(rows, samples...)
|
||
}
|
||
if time.Now().After(deadline) {
|
||
break
|
||
}
|
||
select {
|
||
case <-ctx.Done():
|
||
return rows, ctx.Err()
|
||
case <-time.After(time.Second):
|
||
}
|
||
}
|
||
return rows, nil
|
||
}
|
||
|
||
func runBenchmarkCommandWithMetrics(ctx context.Context, verboseLog, name string, cmd []string, env []string, gpuIndices []int, runDir, baseName string, logFunc func(string)) ([]byte, []GPUMetricRow, error) {
|
||
stopCh := make(chan struct{})
|
||
doneCh := make(chan struct{})
|
||
var metricRows []GPUMetricRow
|
||
start := time.Now()
|
||
|
||
go func() {
|
||
defer close(doneCh)
|
||
ticker := time.NewTicker(time.Second)
|
||
defer ticker.Stop()
|
||
for {
|
||
select {
|
||
case <-stopCh:
|
||
return
|
||
case <-ticker.C:
|
||
samples, err := sampleGPUMetrics(gpuIndices)
|
||
if err != nil {
|
||
continue
|
||
}
|
||
elapsed := time.Since(start).Seconds()
|
||
for i := range samples {
|
||
samples[i].ElapsedSec = elapsed
|
||
}
|
||
metricRows = append(metricRows, samples...)
|
||
}
|
||
}
|
||
}()
|
||
|
||
out, err := runSATCommandCtx(ctx, verboseLog, name, cmd, env, logFunc)
|
||
close(stopCh)
|
||
<-doneCh
|
||
|
||
writeBenchmarkMetricsFiles(runDir, baseName, metricRows)
|
||
return out, metricRows, err
|
||
}
|
||
|
||
func writeBenchmarkMetricsFiles(runDir, baseName string, rows []GPUMetricRow) {
|
||
if len(rows) == 0 {
|
||
return
|
||
}
|
||
_ = WriteGPUMetricsCSV(filepath.Join(runDir, baseName+"-metrics.csv"), rows)
|
||
_ = WriteGPUMetricsHTML(filepath.Join(runDir, baseName+"-metrics.html"), rows)
|
||
chart := RenderGPUTerminalChart(rows)
|
||
_ = os.WriteFile(filepath.Join(runDir, baseName+"-metrics-term.txt"), []byte(chart), 0644)
|
||
}
|
||
|
||
func parseBenchmarkBurnLog(raw string) benchmarkBurnParseResult {
|
||
result := benchmarkBurnParseResult{}
|
||
lines := strings.Split(strings.ReplaceAll(raw, "\r\n", "\n"), "\n")
|
||
profiles := make(map[string]*benchmarkBurnProfile)
|
||
for _, line := range lines {
|
||
line = stripBenchmarkPrefix(strings.TrimSpace(line))
|
||
if line == "" {
|
||
continue
|
||
}
|
||
switch {
|
||
case strings.HasPrefix(line, "device="):
|
||
result.Device = strings.TrimSpace(strings.TrimPrefix(line, "device="))
|
||
case strings.HasPrefix(line, "compute_capability="):
|
||
result.ComputeCapability = strings.TrimSpace(strings.TrimPrefix(line, "compute_capability="))
|
||
case strings.HasPrefix(line, "backend="):
|
||
result.Backend = strings.TrimSpace(strings.TrimPrefix(line, "backend="))
|
||
result.Fallback = result.Backend == "driver-ptx"
|
||
case strings.HasPrefix(line, "duration_s="):
|
||
result.DurationSec, _ = strconv.Atoi(strings.TrimSpace(strings.TrimPrefix(line, "duration_s=")))
|
||
default:
|
||
if m := benchmarkReadyPattern.FindStringSubmatch(line); len(m) == 6 {
|
||
profile := ensureBenchmarkProfile(profiles, m[1])
|
||
profile.supported = true
|
||
profile.lanes++
|
||
profile.m, _ = strconv.ParseUint(m[3], 10, 64)
|
||
profile.n, _ = strconv.ParseUint(m[4], 10, 64)
|
||
profile.k, _ = strconv.ParseUint(m[5], 10, 64)
|
||
continue
|
||
}
|
||
if m := benchmarkSkippedPattern.FindStringSubmatch(line); len(m) == 3 {
|
||
profile := ensureBenchmarkProfile(profiles, m[1])
|
||
profile.supported = false
|
||
profile.notes = strings.TrimSpace(m[2])
|
||
continue
|
||
}
|
||
if m := benchmarkIterationsPattern.FindStringSubmatch(line); len(m) == 3 {
|
||
profile := ensureBenchmarkProfile(profiles, m[1])
|
||
iters, _ := strconv.ParseUint(m[2], 10, 64)
|
||
profile.iterations += iters
|
||
}
|
||
}
|
||
}
|
||
|
||
keys := make([]string, 0, len(profiles))
|
||
for key := range profiles {
|
||
keys = append(keys, key)
|
||
}
|
||
sort.Strings(keys)
|
||
for _, key := range keys {
|
||
profile := profiles[key]
|
||
precision := BenchmarkPrecisionResult{
|
||
Name: profile.name,
|
||
Category: profile.category,
|
||
Supported: profile.supported,
|
||
Lanes: profile.lanes,
|
||
M: profile.m,
|
||
N: profile.n,
|
||
K: profile.k,
|
||
Iterations: profile.iterations,
|
||
Notes: profile.notes,
|
||
}
|
||
if profile.supported && result.DurationSec > 0 && profile.m > 0 && profile.n > 0 && profile.k > 0 && profile.iterations > 0 {
|
||
precision.TeraOpsPerSec = (2.0 * float64(profile.m) * float64(profile.n) * float64(profile.k) * float64(profile.iterations)) / float64(result.DurationSec) / 1e12
|
||
}
|
||
result.Profiles = append(result.Profiles, precision)
|
||
}
|
||
return result
|
||
}
|
||
|
||
func ensureBenchmarkProfile(profiles map[string]*benchmarkBurnProfile, name string) *benchmarkBurnProfile {
|
||
if profile, ok := profiles[name]; ok {
|
||
return profile
|
||
}
|
||
category := "other"
|
||
switch {
|
||
case strings.HasPrefix(name, "fp64"):
|
||
category = "fp64"
|
||
case strings.HasPrefix(name, "fp32"):
|
||
category = "fp32_tf32"
|
||
case strings.HasPrefix(name, "fp16"):
|
||
category = "fp16_bf16"
|
||
case strings.HasPrefix(name, "fp8"):
|
||
category = "fp8"
|
||
case strings.HasPrefix(name, "fp4"):
|
||
category = "fp4"
|
||
}
|
||
profile := &benchmarkBurnProfile{name: name, category: category, supported: true}
|
||
profiles[name] = profile
|
||
return profile
|
||
}
|
||
|
||
func stripBenchmarkPrefix(line string) string {
|
||
if strings.HasPrefix(line, "[gpu ") {
|
||
if idx := strings.Index(line, "] "); idx >= 0 {
|
||
return line[idx+2:]
|
||
}
|
||
}
|
||
return line
|
||
}
|
||
|
||
func summarizeBenchmarkTelemetry(rows []GPUMetricRow) BenchmarkTelemetrySummary {
|
||
summary := BenchmarkTelemetrySummary{}
|
||
if len(rows) == 0 {
|
||
return summary
|
||
}
|
||
temps := make([]float64, 0, len(rows))
|
||
powers := make([]float64, 0, len(rows))
|
||
clocks := make([]float64, 0, len(rows))
|
||
memClocks := make([]float64, 0, len(rows))
|
||
usages := make([]float64, 0, len(rows))
|
||
memUsages := make([]float64, 0, len(rows))
|
||
summary.DurationSec = rows[len(rows)-1].ElapsedSec
|
||
summary.Samples = len(rows)
|
||
for _, row := range rows {
|
||
temps = append(temps, row.TempC)
|
||
powers = append(powers, row.PowerW)
|
||
clocks = append(clocks, row.ClockMHz)
|
||
memClocks = append(memClocks, row.MemClockMHz)
|
||
usages = append(usages, row.UsagePct)
|
||
memUsages = append(memUsages, row.MemUsagePct)
|
||
}
|
||
summary.AvgTempC = benchmarkMean(temps)
|
||
summary.P95TempC = benchmarkPercentile(temps, 95)
|
||
summary.AvgPowerW = benchmarkMean(powers)
|
||
summary.P95PowerW = benchmarkPercentile(powers, 95)
|
||
summary.AvgGraphicsClockMHz = benchmarkMean(clocks)
|
||
summary.P95GraphicsClockMHz = benchmarkPercentile(clocks, 95)
|
||
summary.AvgMemoryClockMHz = benchmarkMean(memClocks)
|
||
summary.P95MemoryClockMHz = benchmarkPercentile(memClocks, 95)
|
||
summary.AvgUsagePct = benchmarkMean(usages)
|
||
summary.AvgMemUsagePct = benchmarkMean(memUsages)
|
||
summary.ClockCVPct = benchmarkCV(clocks)
|
||
summary.PowerCVPct = benchmarkCV(powers)
|
||
summary.TempCVPct = benchmarkCV(temps)
|
||
summary.ClockDriftPct = benchmarkClockDrift(clocks)
|
||
return summary
|
||
}
|
||
|
||
func scoreBenchmarkGPUResult(gpu BenchmarkGPUResult) BenchmarkScorecard {
|
||
score := BenchmarkScorecard{}
|
||
for _, precision := range gpu.PrecisionResults {
|
||
if precision.Supported {
|
||
score.ComputeScore += precision.TeraOpsPerSec
|
||
}
|
||
}
|
||
// PowerSustainScore: measures how close the GPU came to its rated TDP under
|
||
// a full-spectrum load (dcgmi targeted_power). 100 = exactly at rated TDP.
|
||
// Penalty applied symmetrically for both under- and over-TDP deviations:
|
||
// score = max(0, 100 − |measured − rated| / rated × 100)
|
||
// Under-TDP → power delivery / cooling issue.
|
||
// Over-TDP → power limit not properly enforced / power regulation fault.
|
||
// Falls back to 0 if calibration was not performed (dcgmi unavailable).
|
||
{
|
||
ref := gpu.DefaultPowerLimitW
|
||
if ref <= 0 {
|
||
ref = gpu.PowerLimitW
|
||
}
|
||
if gpu.CalibratedPeakPowerW > 0 && ref > 0 {
|
||
deviationPct := math.Abs(gpu.CalibratedPeakPowerW-ref) / ref * 100
|
||
score.PowerSustainScore = clampScore(100 - deviationPct)
|
||
}
|
||
}
|
||
runtimeUS := math.Max(1, gpu.Steady.DurationSec*1e6)
|
||
thermalRatio := float64(gpu.Throttle.HWThermalSlowdownUS+gpu.Throttle.SWThermalSlowdownUS) / runtimeUS
|
||
score.ThermalSustainScore = clampScore(100 - thermalRatio*100)
|
||
score.StabilityScore = clampScore(100 - (gpu.Steady.ClockCVPct*4 + gpu.Steady.PowerCVPct*2 + gpu.Steady.ClockDriftPct*2))
|
||
score.CompositeScore = compositeBenchmarkScore(score)
|
||
if gpu.MultiprocessorCount > 0 && gpu.Steady.AvgGraphicsClockMHz > 0 && score.ComputeScore > 0 {
|
||
score.TOPSPerSMPerGHz = score.ComputeScore / float64(gpu.MultiprocessorCount) / (gpu.Steady.AvgGraphicsClockMHz / 1000.0)
|
||
}
|
||
return score
|
||
}
|
||
|
||
func compositeBenchmarkScore(score BenchmarkScorecard) float64 {
|
||
// Weights after introducing calibrated power reference:
|
||
// base 0.35 — floor so a GPU that fails all sustain checks still scores
|
||
// thermal 0.25 — heaviest: throttle counters are the most reliable signal
|
||
// stability 0.25 — clock/power variance matters for reproducibility
|
||
// power 0.15 — GPU reaches rated TDP under targeted_power? lower weight
|
||
// because calibration may be absent (dcgmi not installed)
|
||
// NCCL bonus 0.10 — interconnect health
|
||
// cap 1.10
|
||
quality := 0.35 + 0.15*(score.PowerSustainScore/100.0) + 0.25*(score.ThermalSustainScore/100.0) + 0.25*(score.StabilityScore/100.0)
|
||
if score.InterconnectScore > 0 {
|
||
quality += 0.10
|
||
}
|
||
if quality > 1.10 {
|
||
quality = 1.10
|
||
}
|
||
return score.ComputeScore * quality
|
||
}
|
||
|
||
func detectBenchmarkDegradationReasons(gpu BenchmarkGPUResult, normalizationStatus string) []string {
|
||
var reasons []string
|
||
runtimeUS := math.Max(1, gpu.Steady.DurationSec*1e6)
|
||
if float64(gpu.Throttle.SWPowerCapUS)/runtimeUS >= 0.05 {
|
||
reasons = append(reasons, "power_capped")
|
||
}
|
||
if float64(gpu.Throttle.HWThermalSlowdownUS+gpu.Throttle.SWThermalSlowdownUS)/runtimeUS >= 0.01 {
|
||
reasons = append(reasons, "thermal_limited")
|
||
}
|
||
if float64(gpu.Throttle.SyncBoostUS)/runtimeUS >= 0.01 {
|
||
reasons = append(reasons, "sync_boost_limited")
|
||
}
|
||
if gpu.LockedGraphicsClockMHz > 0 && gpu.Steady.AvgGraphicsClockMHz < gpu.LockedGraphicsClockMHz*0.90 {
|
||
reasons = append(reasons, "low_sm_clock_vs_target")
|
||
}
|
||
if gpu.Scores.StabilityScore > 0 && gpu.Scores.StabilityScore < 85 {
|
||
reasons = append(reasons, "variance_too_high")
|
||
}
|
||
if normalizationStatus != "full" {
|
||
reasons = append(reasons, "normalization_partial")
|
||
}
|
||
return dedupeStrings(reasons)
|
||
}
|
||
|
||
func runBenchmarkInterconnect(ctx context.Context, verboseLog, runDir string, gpuIndices []int, spec benchmarkProfileSpec, logFunc func(string)) *BenchmarkInterconnectResult {
|
||
result := &BenchmarkInterconnectResult{
|
||
Status: "UNSUPPORTED",
|
||
Attempted: true,
|
||
SelectedGPUIndices: append([]int(nil), gpuIndices...),
|
||
}
|
||
cmd := []string{
|
||
"all_reduce_perf",
|
||
"-b", "512M",
|
||
"-e", "4G",
|
||
"-f", "2",
|
||
"-g", strconv.Itoa(len(gpuIndices)),
|
||
"--iters", strconv.Itoa(maxInt(20, spec.NCCLSec/10)),
|
||
}
|
||
env := []string{
|
||
"CUDA_DEVICE_ORDER=PCI_BUS_ID",
|
||
"CUDA_VISIBLE_DEVICES=" + joinIndexList(gpuIndices),
|
||
}
|
||
logFunc(fmt.Sprintf("NCCL interconnect: gpus=%s", joinIndexList(gpuIndices)))
|
||
out, err := runSATCommandCtx(ctx, verboseLog, "nccl-all-reduce.log", cmd, env, logFunc)
|
||
_ = os.WriteFile(filepath.Join(runDir, "nccl-all-reduce.log"), out, 0644)
|
||
if err != nil {
|
||
result.Notes = append(result.Notes, strings.TrimSpace(string(out)))
|
||
return result
|
||
}
|
||
avgAlg, maxAlg, avgBus, maxBus := parseNCCLAllReduceOutput(string(out))
|
||
result.Status = "OK"
|
||
result.Supported = true
|
||
result.AvgAlgBWGBps = avgAlg
|
||
result.MaxAlgBWGBps = maxAlg
|
||
result.AvgBusBWGBps = avgBus
|
||
result.MaxBusBWGBps = maxBus
|
||
return result
|
||
}
|
||
|
||
func parseNCCLAllReduceOutput(raw string) (avgAlg, maxAlg, avgBus, maxBus float64) {
|
||
lines := strings.Split(strings.ReplaceAll(raw, "\r\n", "\n"), "\n")
|
||
var algs []float64
|
||
var buses []float64
|
||
for _, line := range lines {
|
||
line = strings.TrimSpace(line)
|
||
if line == "" || strings.HasPrefix(line, "#") {
|
||
continue
|
||
}
|
||
fields := strings.Fields(line)
|
||
if len(fields) < 8 {
|
||
continue
|
||
}
|
||
for i := 0; i+2 < len(fields); i++ {
|
||
timeVal, err1 := strconv.ParseFloat(fields[i], 64)
|
||
algVal, err2 := strconv.ParseFloat(fields[i+1], 64)
|
||
busVal, err3 := strconv.ParseFloat(fields[i+2], 64)
|
||
if err1 == nil && err2 == nil && err3 == nil && timeVal > 0 {
|
||
algs = append(algs, algVal)
|
||
buses = append(buses, busVal)
|
||
break
|
||
}
|
||
}
|
||
}
|
||
if len(algs) == 0 {
|
||
return 0, 0, 0, 0
|
||
}
|
||
return benchmarkMean(algs), benchmarkMax(algs), benchmarkMean(buses), benchmarkMax(buses)
|
||
}
|
||
|
||
func queryThrottleCounters(gpuIndex int) (BenchmarkThrottleCounters, error) {
|
||
out, err := satExecCommand(
|
||
"nvidia-smi",
|
||
"--id="+strconv.Itoa(gpuIndex),
|
||
"--query-gpu=clocks_event_reasons_counters.sw_power_cap,clocks_event_reasons_counters.sw_thermal_slowdown,clocks_event_reasons_counters.sync_boost,clocks_event_reasons_counters.hw_thermal_slowdown,clocks_event_reasons_counters.hw_power_brake_slowdown",
|
||
"--format=csv,noheader,nounits",
|
||
).Output()
|
||
if err != nil {
|
||
return BenchmarkThrottleCounters{}, err
|
||
}
|
||
fields := strings.Split(strings.TrimSpace(string(out)), ",")
|
||
if len(fields) < 5 {
|
||
return BenchmarkThrottleCounters{}, fmt.Errorf("unexpected throttle counter columns: %q", strings.TrimSpace(string(out)))
|
||
}
|
||
return BenchmarkThrottleCounters{
|
||
SWPowerCapUS: parseBenchmarkUint64(fields[0]),
|
||
SWThermalSlowdownUS: parseBenchmarkUint64(fields[1]),
|
||
SyncBoostUS: parseBenchmarkUint64(fields[2]),
|
||
HWThermalSlowdownUS: parseBenchmarkUint64(fields[3]),
|
||
HWPowerBrakeSlowdownUS: parseBenchmarkUint64(fields[4]),
|
||
}, nil
|
||
}
|
||
|
||
func diffThrottleCounters(before, after BenchmarkThrottleCounters) BenchmarkThrottleCounters {
|
||
return BenchmarkThrottleCounters{
|
||
SWPowerCapUS: saturatingSub(after.SWPowerCapUS, before.SWPowerCapUS),
|
||
SWThermalSlowdownUS: saturatingSub(after.SWThermalSlowdownUS, before.SWThermalSlowdownUS),
|
||
SyncBoostUS: saturatingSub(after.SyncBoostUS, before.SyncBoostUS),
|
||
HWThermalSlowdownUS: saturatingSub(after.HWThermalSlowdownUS, before.HWThermalSlowdownUS),
|
||
HWPowerBrakeSlowdownUS: saturatingSub(after.HWPowerBrakeSlowdownUS, before.HWPowerBrakeSlowdownUS),
|
||
}
|
||
}
|
||
|
||
func queryActiveComputeApps(gpuIndices []int) ([]string, error) {
|
||
args := []string{
|
||
"--query-compute-apps=gpu_uuid,pid,process_name",
|
||
"--format=csv,noheader,nounits",
|
||
}
|
||
if len(gpuIndices) > 0 {
|
||
args = append([]string{"--id=" + joinIndexList(gpuIndices)}, args...)
|
||
}
|
||
out, err := satExecCommand("nvidia-smi", args...).Output()
|
||
if err != nil {
|
||
return nil, err
|
||
}
|
||
var lines []string
|
||
for _, line := range strings.Split(strings.TrimSpace(string(out)), "\n") {
|
||
line = strings.TrimSpace(line)
|
||
if line == "" {
|
||
continue
|
||
}
|
||
lines = append(lines, line)
|
||
}
|
||
return lines, nil
|
||
}
|
||
|
||
func finalizeBenchmarkGPUResult(gpu BenchmarkGPUResult) BenchmarkGPUResult {
|
||
if gpu.Status == "" {
|
||
gpu.Status = "OK"
|
||
}
|
||
if gpu.Scores.CompositeScore == 0 {
|
||
gpu.Scores.CompositeScore = compositeBenchmarkScore(gpu.Scores)
|
||
}
|
||
return gpu
|
||
}
|
||
|
||
func buildBenchmarkFindings(result NvidiaBenchmarkResult) []string {
|
||
var findings []string
|
||
|
||
passed := 0
|
||
for _, gpu := range result.GPUs {
|
||
if gpu.Status == "OK" {
|
||
passed++
|
||
}
|
||
}
|
||
total := len(result.GPUs)
|
||
if total > 0 {
|
||
if passed == total {
|
||
findings = append(findings, fmt.Sprintf("All %d GPU(s) passed the benchmark.", total))
|
||
} else {
|
||
findings = append(findings, fmt.Sprintf("%d of %d GPU(s) passed the benchmark.", passed, total))
|
||
}
|
||
}
|
||
|
||
if result.Normalization.Status != "full" {
|
||
findings = append(findings, "Environment normalization was partial; compare results with caution.")
|
||
}
|
||
for _, gpu := range result.GPUs {
|
||
if gpu.Status == "FAILED" && len(gpu.DegradationReasons) == 0 {
|
||
findings = append(findings, fmt.Sprintf("GPU %d failed the benchmark (check verbose.log for details).", gpu.Index))
|
||
continue
|
||
}
|
||
if len(gpu.DegradationReasons) == 0 && gpu.Status == "OK" {
|
||
findings = append(findings, fmt.Sprintf("GPU %d held clocks without observable throttle counters during steady state.", gpu.Index))
|
||
continue
|
||
}
|
||
for _, reason := range gpu.DegradationReasons {
|
||
switch reason {
|
||
case "power_capped":
|
||
findings = append(findings, fmt.Sprintf("GPU %d spent measurable time under SW power cap.", gpu.Index))
|
||
case "thermal_limited":
|
||
findings = append(findings, fmt.Sprintf("GPU %d reported thermal slowdown during steady state.", gpu.Index))
|
||
case "sync_boost_limited":
|
||
findings = append(findings, fmt.Sprintf("GPU %d was limited by sync boost behaviour.", gpu.Index))
|
||
case "low_sm_clock_vs_target":
|
||
findings = append(findings, fmt.Sprintf("GPU %d average SM clock stayed below the requested lock target.", gpu.Index))
|
||
case "variance_too_high":
|
||
findings = append(findings, fmt.Sprintf("GPU %d showed unstable clocks/power over the benchmark window.", gpu.Index))
|
||
case "normalization_partial":
|
||
findings = append(findings, fmt.Sprintf("GPU %d ran without full benchmark normalization.", gpu.Index))
|
||
}
|
||
}
|
||
if gpu.Backend == "driver-ptx" {
|
||
findings = append(findings, fmt.Sprintf("GPU %d used driver PTX fallback; tensor score is intentionally degraded.", gpu.Index))
|
||
}
|
||
if gpu.DefaultPowerLimitW > 0 && gpu.PowerLimitW > 0 && gpu.PowerLimitW < gpu.DefaultPowerLimitW*0.95 {
|
||
findings = append(findings, fmt.Sprintf(
|
||
"GPU %d power limit %.0f W is below default %.0f W (%.0f%%). Performance may be artificially reduced.",
|
||
gpu.Index, gpu.PowerLimitW, gpu.DefaultPowerLimitW, gpu.PowerLimitW/gpu.DefaultPowerLimitW*100,
|
||
))
|
||
}
|
||
// Flag significant TDP deviation (over or under) from calibration.
|
||
if gpu.CalibratedPeakPowerW > 0 {
|
||
ref := gpu.DefaultPowerLimitW
|
||
if ref <= 0 {
|
||
ref = gpu.PowerLimitW
|
||
}
|
||
if ref > 0 {
|
||
deviationPct := (gpu.CalibratedPeakPowerW - ref) / ref * 100
|
||
switch {
|
||
case deviationPct < -10:
|
||
findings = append(findings, fmt.Sprintf(
|
||
"GPU %d reached only %.0f W (%.0f%% of rated %.0f W) under targeted_power. Check power delivery or cooling.",
|
||
gpu.Index, gpu.CalibratedPeakPowerW, gpu.CalibratedPeakPowerW/ref*100, ref,
|
||
))
|
||
case deviationPct > 5:
|
||
findings = append(findings, fmt.Sprintf(
|
||
"GPU %d exceeded rated TDP: %.0f W measured vs %.0f W rated (+%.0f%%). Power limit may not be enforced correctly.",
|
||
gpu.Index, gpu.CalibratedPeakPowerW, ref, deviationPct,
|
||
))
|
||
}
|
||
}
|
||
}
|
||
}
|
||
if result.Interconnect != nil && result.Interconnect.Supported {
|
||
findings = append(findings, fmt.Sprintf("Multi-GPU all_reduce max bus bandwidth: %.1f GB/s.", result.Interconnect.MaxBusBWGBps))
|
||
}
|
||
if cl := result.CPULoad; cl != nil {
|
||
switch cl.Status {
|
||
case "high":
|
||
findings = append(findings, fmt.Sprintf(
|
||
"Host CPU load was elevated during the benchmark (avg %.1f%%, max %.1f%%). A competing CPU workload may skew GPU results.",
|
||
cl.AvgPct, cl.MaxPct,
|
||
))
|
||
case "unstable":
|
||
findings = append(findings, fmt.Sprintf(
|
||
"Host CPU load was erratic during the benchmark (avg %.1f%%, p95 %.1f%%). Results may be less reproducible.",
|
||
cl.AvgPct, cl.P95Pct,
|
||
))
|
||
}
|
||
}
|
||
if sp := result.ServerPower; sp != nil && sp.Available && sp.GPUReportedSumW > 0 {
|
||
if sp.ReportingRatio < 0.75 {
|
||
findings = append(findings, fmt.Sprintf(
|
||
"GPU power reporting may be unreliable: server delta %.0f W vs GPU-reported %.0f W (ratio %.2f). GPU telemetry likely over-reports actual consumption. Composite scores have been penalized accordingly.",
|
||
sp.DeltaW, sp.GPUReportedSumW, sp.ReportingRatio,
|
||
))
|
||
} else if sp.ReportingRatio > 1.25 {
|
||
findings = append(findings, fmt.Sprintf(
|
||
"Server power delta %.0f W exceeds GPU-reported sum %.0f W by %.0f%%. Other components (CPU, NVMe, networking) may be drawing substantial power under GPU load.",
|
||
sp.DeltaW, sp.GPUReportedSumW, (sp.ReportingRatio-1)*100,
|
||
))
|
||
}
|
||
}
|
||
return dedupeStrings(findings)
|
||
}
|
||
|
||
func benchmarkOverallStatus(result NvidiaBenchmarkResult) string {
|
||
if len(result.GPUs) == 0 {
|
||
return "FAILED"
|
||
}
|
||
hasOK := false
|
||
hasPartial := result.Normalization.Status != "full"
|
||
for _, gpu := range result.GPUs {
|
||
switch gpu.Status {
|
||
case "OK":
|
||
hasOK = true
|
||
case "PARTIAL", "UNSUPPORTED":
|
||
hasPartial = true
|
||
}
|
||
}
|
||
if !hasOK {
|
||
return "FAILED"
|
||
}
|
||
if hasPartial {
|
||
return "PARTIAL"
|
||
}
|
||
return "OK"
|
||
}
|
||
|
||
func findBenchmarkNormalization(items []BenchmarkNormalizationGPU, idx int) *BenchmarkNormalizationGPU {
|
||
for i := range items {
|
||
if items[i].Index == idx {
|
||
return &items[i]
|
||
}
|
||
}
|
||
return nil
|
||
}
|
||
|
||
func classifySATErrorStatus(out []byte, err error) string {
|
||
status, _ := classifySATResult("benchmark", out, err)
|
||
if status == "UNSUPPORTED" {
|
||
return "UNSUPPORTED"
|
||
}
|
||
return "FAILED"
|
||
}
|
||
|
||
func parseBenchmarkFloat(raw string) float64 {
|
||
raw = strings.TrimSpace(raw)
|
||
if raw == "" || strings.EqualFold(raw, "n/a") || strings.EqualFold(raw, "[not supported]") {
|
||
return 0
|
||
}
|
||
value, _ := strconv.ParseFloat(raw, 64)
|
||
return value
|
||
}
|
||
|
||
func parseBenchmarkUint64(raw string) uint64 {
|
||
raw = strings.TrimSpace(raw)
|
||
if raw == "" || strings.EqualFold(raw, "n/a") || strings.EqualFold(raw, "[not supported]") {
|
||
return 0
|
||
}
|
||
value, _ := strconv.ParseUint(raw, 10, 64)
|
||
return value
|
||
}
|
||
|
||
func benchmarkMean(values []float64) float64 {
|
||
if len(values) == 0 {
|
||
return 0
|
||
}
|
||
var sum float64
|
||
for _, value := range values {
|
||
sum += value
|
||
}
|
||
return sum / float64(len(values))
|
||
}
|
||
|
||
func benchmarkPercentile(values []float64, p float64) float64 {
|
||
if len(values) == 0 {
|
||
return 0
|
||
}
|
||
copyValues := append([]float64(nil), values...)
|
||
sort.Float64s(copyValues)
|
||
if len(copyValues) == 1 {
|
||
return copyValues[0]
|
||
}
|
||
rank := (p / 100.0) * float64(len(copyValues)-1)
|
||
lower := int(math.Floor(rank))
|
||
upper := int(math.Ceil(rank))
|
||
if lower == upper {
|
||
return copyValues[lower]
|
||
}
|
||
frac := rank - float64(lower)
|
||
return copyValues[lower] + (copyValues[upper]-copyValues[lower])*frac
|
||
}
|
||
|
||
func benchmarkCV(values []float64) float64 {
|
||
if len(values) == 0 {
|
||
return 0
|
||
}
|
||
mean := benchmarkMean(values)
|
||
if mean == 0 {
|
||
return 0
|
||
}
|
||
var variance float64
|
||
for _, value := range values {
|
||
diff := value - mean
|
||
variance += diff * diff
|
||
}
|
||
variance /= float64(len(values))
|
||
return math.Sqrt(variance) / mean * 100
|
||
}
|
||
|
||
func benchmarkClockDrift(values []float64) float64 {
|
||
if len(values) < 4 {
|
||
return 0
|
||
}
|
||
window := len(values) / 4
|
||
if window < 1 {
|
||
window = 1
|
||
}
|
||
head := benchmarkMean(values[:window])
|
||
tail := benchmarkMean(values[len(values)-window:])
|
||
if head <= 0 || tail >= head {
|
||
return 0
|
||
}
|
||
return ((head - tail) / head) * 100
|
||
}
|
||
|
||
func benchmarkMax(values []float64) float64 {
|
||
var max float64
|
||
for i, value := range values {
|
||
if i == 0 || value > max {
|
||
max = value
|
||
}
|
||
}
|
||
return max
|
||
}
|
||
|
||
func clampScore(value float64) float64 {
|
||
switch {
|
||
case value < 0:
|
||
return 0
|
||
case value > 100:
|
||
return 100
|
||
default:
|
||
return value
|
||
}
|
||
}
|
||
|
||
func dedupeStrings(values []string) []string {
|
||
if len(values) == 0 {
|
||
return nil
|
||
}
|
||
seen := make(map[string]struct{}, len(values))
|
||
out := make([]string, 0, len(values))
|
||
for _, value := range values {
|
||
value = strings.TrimSpace(value)
|
||
if value == "" {
|
||
continue
|
||
}
|
||
if _, ok := seen[value]; ok {
|
||
continue
|
||
}
|
||
seen[value] = struct{}{}
|
||
out = append(out, value)
|
||
}
|
||
return out
|
||
}
|
||
|
||
func saturatingSub(after, before uint64) uint64 {
|
||
if after <= before {
|
||
return 0
|
||
}
|
||
return after - before
|
||
}
|
||
|
||
func maxInt(a, b int) int {
|
||
if a > b {
|
||
return a
|
||
}
|
||
return b
|
||
}
|
||
|
||
// queryIPMIServerPowerW reads the current server power draw via ipmitool dcmi.
|
||
// Returns 0 and an error if IPMI is unavailable or the output cannot be parsed.
|
||
func queryIPMIServerPowerW() (float64, error) {
|
||
out, err := satExecCommand("ipmitool", "dcmi", "power", "reading").Output()
|
||
if err != nil {
|
||
return 0, fmt.Errorf("ipmitool dcmi power reading: %w", err)
|
||
}
|
||
if w := parseDCMIPowerReading(string(out)); w > 0 {
|
||
return w, nil
|
||
}
|
||
return 0, fmt.Errorf("could not parse ipmitool dcmi power reading output")
|
||
}
|
||
|
||
// sampleIPMIPowerSeries collects IPMI power readings every 2 seconds for
|
||
// durationSec seconds. Returns the mean of all successful samples.
|
||
// Returns 0, false if IPMI is unavailable.
|
||
func sampleIPMIPowerSeries(ctx context.Context, durationSec int) (meanW float64, ok bool) {
|
||
if durationSec <= 0 {
|
||
return 0, false
|
||
}
|
||
deadline := time.Now().Add(time.Duration(durationSec) * time.Second)
|
||
var samples []float64
|
||
for {
|
||
if w, err := queryIPMIServerPowerW(); err == nil {
|
||
samples = append(samples, w)
|
||
}
|
||
if time.Now().After(deadline) {
|
||
break
|
||
}
|
||
select {
|
||
case <-ctx.Done():
|
||
break
|
||
case <-time.After(2 * time.Second):
|
||
}
|
||
}
|
||
if len(samples) == 0 {
|
||
return 0, false
|
||
}
|
||
var sum float64
|
||
for _, w := range samples {
|
||
sum += w
|
||
}
|
||
return sum / float64(len(samples)), true
|
||
}
|
||
|
||
// characterizeServerPower computes BenchmarkServerPower from idle and loaded
|
||
// IPMI samples plus the GPU-reported average power during steady state.
|
||
func characterizeServerPower(idleW, loadedW, gpuReportedSumW float64, ipmiAvailable bool) *BenchmarkServerPower {
|
||
sp := &BenchmarkServerPower{Available: ipmiAvailable}
|
||
if !ipmiAvailable {
|
||
sp.Notes = append(sp.Notes, "IPMI power reading unavailable; server-side power characterization skipped")
|
||
return sp
|
||
}
|
||
sp.IdleW = idleW
|
||
sp.LoadedW = loadedW
|
||
sp.DeltaW = loadedW - idleW
|
||
sp.GPUReportedSumW = gpuReportedSumW
|
||
if gpuReportedSumW > 0 && sp.DeltaW > 0 {
|
||
sp.ReportingRatio = sp.DeltaW / gpuReportedSumW
|
||
}
|
||
return sp
|
||
}
|
||
|
||
// readServerModel returns the DMI system product name (e.g. "SuperMicro SYS-421GE-TNRT").
|
||
// Returns empty string if unavailable (non-Linux or missing DMI entry).
|
||
func readServerModel() string {
|
||
data, err := os.ReadFile("/sys/class/dmi/id/product_name")
|
||
if err != nil {
|
||
return ""
|
||
}
|
||
return strings.TrimSpace(string(data))
|
||
}
|
||
|
||
// filterRowsByGPU returns only the metric rows for a specific GPU index.
|
||
func filterRowsByGPU(rows []GPUMetricRow, gpuIndex int) []GPUMetricRow {
|
||
var out []GPUMetricRow
|
||
for _, r := range rows {
|
||
if r.GPUIndex == gpuIndex {
|
||
out = append(out, r)
|
||
}
|
||
}
|
||
return out
|
||
}
|
||
|
||
// parseBenchmarkBurnLogByGPU splits a multi-GPU bee-gpu-burn output by [gpu N] prefix
|
||
// and returns a per-GPU parse result map.
|
||
func parseBenchmarkBurnLogByGPU(raw string) map[int]benchmarkBurnParseResult {
|
||
gpuLines := make(map[int][]string)
|
||
for _, line := range strings.Split(strings.ReplaceAll(raw, "\r\n", "\n"), "\n") {
|
||
line = strings.TrimSpace(line)
|
||
if !strings.HasPrefix(line, "[gpu ") {
|
||
continue
|
||
}
|
||
end := strings.Index(line, "] ")
|
||
if end < 0 {
|
||
continue
|
||
}
|
||
gpuIdx, err := strconv.Atoi(strings.TrimSpace(line[5:end]))
|
||
if err != nil {
|
||
continue
|
||
}
|
||
gpuLines[gpuIdx] = append(gpuLines[gpuIdx], line[end+2:])
|
||
}
|
||
results := make(map[int]benchmarkBurnParseResult, len(gpuLines))
|
||
for gpuIdx, lines := range gpuLines {
|
||
// Lines are already stripped of the [gpu N] prefix; parseBenchmarkBurnLog
|
||
// calls stripBenchmarkPrefix which is a no-op on already-stripped lines.
|
||
results[gpuIdx] = parseBenchmarkBurnLog(strings.Join(lines, "\n"))
|
||
}
|
||
return results
|
||
}
|
||
|
||
// runNvidiaBenchmarkParallel runs warmup and steady compute on all selected GPUs
|
||
// simultaneously using a single bee-gpu-burn invocation per phase.
|
||
func runNvidiaBenchmarkParallel(
|
||
ctx context.Context,
|
||
verboseLog, runDir string,
|
||
selected []int,
|
||
infoByIndex map[int]benchmarkGPUInfo,
|
||
opts NvidiaBenchmarkOptions,
|
||
spec benchmarkProfileSpec,
|
||
logFunc func(string),
|
||
result *NvidiaBenchmarkResult,
|
||
calibPowerByIndex map[int]float64,
|
||
serverIdleW *float64, serverLoadedWSum *float64,
|
||
serverIdleOK *bool, serverLoadedOK *bool, serverLoadedSamples *int,
|
||
) {
|
||
allDevices := joinIndexList(selected)
|
||
|
||
// Build per-GPU result stubs.
|
||
gpuResults := make(map[int]*BenchmarkGPUResult, len(selected))
|
||
for _, idx := range selected {
|
||
r := &BenchmarkGPUResult{Index: idx, Status: "FAILED"}
|
||
if info, ok := infoByIndex[idx]; ok {
|
||
r.UUID = info.UUID
|
||
r.Name = info.Name
|
||
r.BusID = info.BusID
|
||
r.VBIOS = info.VBIOS
|
||
r.PowerLimitW = info.PowerLimitW
|
||
r.MultiprocessorCount = info.MultiprocessorCount
|
||
r.DefaultPowerLimitW = info.DefaultPowerLimitW
|
||
r.MaxGraphicsClockMHz = info.MaxGraphicsClockMHz
|
||
r.BaseGraphicsClockMHz = info.BaseGraphicsClockMHz
|
||
r.MaxMemoryClockMHz = info.MaxMemoryClockMHz
|
||
}
|
||
if w, ok := calibPowerByIndex[idx]; ok && w > 0 {
|
||
r.CalibratedPeakPowerW = w
|
||
}
|
||
if norm := findBenchmarkNormalization(result.Normalization.GPUs, idx); norm != nil {
|
||
r.LockedGraphicsClockMHz = norm.GPUClockLockMHz
|
||
r.LockedMemoryClockMHz = norm.MemoryClockLockMHz
|
||
}
|
||
gpuResults[idx] = r
|
||
}
|
||
|
||
// Baseline: sample all GPUs together.
|
||
baselineRows, err := collectBenchmarkSamples(ctx, spec.BaselineSec, selected)
|
||
if err != nil && err != context.Canceled {
|
||
for _, idx := range selected {
|
||
gpuResults[idx].Notes = append(gpuResults[idx].Notes, "baseline sampling failed: "+err.Error())
|
||
}
|
||
}
|
||
for _, idx := range selected {
|
||
perGPU := filterRowsByGPU(baselineRows, idx)
|
||
gpuResults[idx].Baseline = summarizeBenchmarkTelemetry(perGPU)
|
||
writeBenchmarkMetricsFiles(runDir, fmt.Sprintf("gpu-%d-baseline", idx), perGPU)
|
||
}
|
||
|
||
// Sample server idle power once.
|
||
if !*serverIdleOK {
|
||
if w, ok := sampleIPMIPowerSeries(ctx, maxInt(spec.BaselineSec, 10)); ok {
|
||
*serverIdleW = w
|
||
*serverIdleOK = true
|
||
logFunc(fmt.Sprintf("server idle power (IPMI): %.0f W", w))
|
||
}
|
||
}
|
||
|
||
// Warmup: all GPUs simultaneously.
|
||
warmupCmd := []string{
|
||
"bee-gpu-burn",
|
||
"--seconds", strconv.Itoa(spec.WarmupSec),
|
||
"--size-mb", strconv.Itoa(opts.SizeMB),
|
||
"--devices", allDevices,
|
||
}
|
||
logFunc(fmt.Sprintf("GPUs %s: parallel warmup (%ds)", allDevices, spec.WarmupSec))
|
||
warmupOut, warmupRows, warmupErr := runBenchmarkCommandWithMetrics(ctx, verboseLog, "gpu-all-warmup.log", warmupCmd, nil, selected, runDir, "gpu-all-warmup", logFunc)
|
||
_ = os.WriteFile(filepath.Join(runDir, "gpu-all-warmup.log"), warmupOut, 0644)
|
||
for _, idx := range selected {
|
||
writeBenchmarkMetricsFiles(runDir, fmt.Sprintf("gpu-%d-warmup", idx), filterRowsByGPU(warmupRows, idx))
|
||
}
|
||
if warmupErr != nil {
|
||
for _, idx := range selected {
|
||
gpuResults[idx].Notes = append(gpuResults[idx].Notes, "parallel warmup failed: "+warmupErr.Error())
|
||
}
|
||
}
|
||
|
||
// Snapshot throttle counters before steady.
|
||
beforeThrottle := make(map[int]BenchmarkThrottleCounters, len(selected))
|
||
for _, idx := range selected {
|
||
beforeThrottle[idx], _ = queryThrottleCounters(idx)
|
||
}
|
||
|
||
// Steady: all GPUs simultaneously.
|
||
steadyCmd := []string{
|
||
"bee-gpu-burn",
|
||
"--seconds", strconv.Itoa(spec.SteadySec),
|
||
"--size-mb", strconv.Itoa(opts.SizeMB),
|
||
"--devices", allDevices,
|
||
}
|
||
logFunc(fmt.Sprintf("GPUs %s: parallel steady compute (%ds)", allDevices, spec.SteadySec))
|
||
|
||
// Sample server power via IPMI in parallel with steady phase.
|
||
ipmiStopCh := make(chan struct{})
|
||
ipmiResultCh := make(chan float64, 1)
|
||
go func() {
|
||
defer close(ipmiResultCh)
|
||
var samples []float64
|
||
ticker := time.NewTicker(5 * time.Second)
|
||
defer ticker.Stop()
|
||
select {
|
||
case <-ipmiStopCh:
|
||
return
|
||
case <-time.After(15 * time.Second):
|
||
}
|
||
for {
|
||
if w, err := queryIPMIServerPowerW(); err == nil {
|
||
samples = append(samples, w)
|
||
}
|
||
select {
|
||
case <-ipmiStopCh:
|
||
if len(samples) > 0 {
|
||
var sum float64
|
||
for _, w := range samples {
|
||
sum += w
|
||
}
|
||
ipmiResultCh <- sum / float64(len(samples))
|
||
}
|
||
return
|
||
case <-ticker.C:
|
||
}
|
||
}
|
||
}()
|
||
|
||
steadyOut, steadyRows, steadyErr := runBenchmarkCommandWithMetrics(ctx, verboseLog, "gpu-all-steady.log", steadyCmd, nil, selected, runDir, "gpu-all-steady", logFunc)
|
||
close(ipmiStopCh)
|
||
if loadedW, ok := <-ipmiResultCh; ok {
|
||
*serverLoadedWSum += loadedW
|
||
(*serverLoadedSamples)++
|
||
*serverLoadedOK = true
|
||
logFunc(fmt.Sprintf("GPUs %s: server loaded power (IPMI): %.0f W", allDevices, loadedW))
|
||
}
|
||
_ = os.WriteFile(filepath.Join(runDir, "gpu-all-steady.log"), steadyOut, 0644)
|
||
|
||
afterThrottle := make(map[int]BenchmarkThrottleCounters, len(selected))
|
||
for _, idx := range selected {
|
||
afterThrottle[idx], _ = queryThrottleCounters(idx)
|
||
}
|
||
|
||
parseResults := parseBenchmarkBurnLogByGPU(string(steadyOut))
|
||
|
||
for _, idx := range selected {
|
||
perGPU := filterRowsByGPU(steadyRows, idx)
|
||
writeBenchmarkMetricsFiles(runDir, fmt.Sprintf("gpu-%d-steady", idx), perGPU)
|
||
gpuResults[idx].Steady = summarizeBenchmarkTelemetry(perGPU)
|
||
gpuResults[idx].Throttle = diffThrottleCounters(beforeThrottle[idx], afterThrottle[idx])
|
||
|
||
if pr, ok := parseResults[idx]; ok {
|
||
gpuResults[idx].ComputeCapability = pr.ComputeCapability
|
||
gpuResults[idx].Backend = pr.Backend
|
||
gpuResults[idx].PrecisionResults = pr.Profiles
|
||
if pr.Fallback {
|
||
gpuResults[idx].Notes = append(gpuResults[idx].Notes, "benchmark used driver PTX fallback; tensor throughput score is not comparable")
|
||
}
|
||
}
|
||
if steadyErr != nil {
|
||
gpuResults[idx].Notes = append(gpuResults[idx].Notes, "parallel steady compute failed: "+steadyErr.Error())
|
||
}
|
||
}
|
||
|
||
// Cooldown: all GPUs together.
|
||
cooldownRows, err := collectBenchmarkSamples(ctx, spec.CooldownSec, selected)
|
||
if err != nil && err != context.Canceled {
|
||
for _, idx := range selected {
|
||
gpuResults[idx].Notes = append(gpuResults[idx].Notes, "cooldown sampling failed: "+err.Error())
|
||
}
|
||
}
|
||
for _, idx := range selected {
|
||
perGPU := filterRowsByGPU(cooldownRows, idx)
|
||
gpuResults[idx].Cooldown = summarizeBenchmarkTelemetry(perGPU)
|
||
writeBenchmarkMetricsFiles(runDir, fmt.Sprintf("gpu-%d-cooldown", idx), perGPU)
|
||
}
|
||
|
||
// Score and finalize each GPU.
|
||
for _, idx := range selected {
|
||
r := gpuResults[idx]
|
||
r.Scores = scoreBenchmarkGPUResult(*r)
|
||
r.DegradationReasons = detectBenchmarkDegradationReasons(*r, result.Normalization.Status)
|
||
pr := parseResults[idx]
|
||
switch {
|
||
case steadyErr != nil:
|
||
r.Status = classifySATErrorStatus(steadyOut, steadyErr)
|
||
case pr.Fallback:
|
||
r.Status = "PARTIAL"
|
||
default:
|
||
r.Status = "OK"
|
||
}
|
||
result.GPUs = append(result.GPUs, finalizeBenchmarkGPUResult(*r))
|
||
}
|
||
}
|
||
|
||
// readBenchmarkHostConfig reads static CPU and memory configuration from
|
||
// /proc/cpuinfo and /proc/meminfo. Returns nil if neither source is readable.
|
||
func readBenchmarkHostConfig() *BenchmarkHostConfig {
|
||
cfg := &BenchmarkHostConfig{}
|
||
populated := false
|
||
|
||
// Parse /proc/cpuinfo for CPU model, sockets, cores, threads.
|
||
if data, err := os.ReadFile("/proc/cpuinfo"); err == nil {
|
||
socketIDs := map[string]struct{}{}
|
||
coresPerSocket := map[string]int{}
|
||
var modelName string
|
||
threads := 0
|
||
for _, line := range strings.Split(string(data), "\n") {
|
||
kv := strings.SplitN(line, ":", 2)
|
||
if len(kv) != 2 {
|
||
continue
|
||
}
|
||
key := strings.TrimSpace(kv[0])
|
||
val := strings.TrimSpace(kv[1])
|
||
switch key {
|
||
case "processor":
|
||
threads++
|
||
case "model name":
|
||
if modelName == "" {
|
||
modelName = val
|
||
}
|
||
case "physical id":
|
||
socketIDs[val] = struct{}{}
|
||
case "cpu cores":
|
||
// Overwrite per-socket core count (last wins per socket, but all
|
||
// entries for the same socket report the same value).
|
||
if physLine := ""; physLine == "" {
|
||
// We accumulate below by treating cpu cores as a per-thread
|
||
// field; sum by socket requires a two-pass approach. Use the
|
||
// simpler approximation: totalCores = threads / (threads per core).
|
||
_ = val
|
||
}
|
||
}
|
||
}
|
||
// Second pass: per-socket core count.
|
||
var curSocket string
|
||
for _, line := range strings.Split(string(data), "\n") {
|
||
kv := strings.SplitN(line, ":", 2)
|
||
if len(kv) != 2 {
|
||
continue
|
||
}
|
||
key := strings.TrimSpace(kv[0])
|
||
val := strings.TrimSpace(kv[1])
|
||
switch key {
|
||
case "physical id":
|
||
curSocket = val
|
||
case "cpu cores":
|
||
if curSocket != "" {
|
||
if _, seen := coresPerSocket[curSocket]; !seen {
|
||
v, _ := strconv.Atoi(val)
|
||
coresPerSocket[curSocket] = v
|
||
}
|
||
}
|
||
}
|
||
}
|
||
totalCores := 0
|
||
for _, c := range coresPerSocket {
|
||
totalCores += c
|
||
}
|
||
cfg.CPUModel = modelName
|
||
cfg.CPUSockets = len(socketIDs)
|
||
if cfg.CPUSockets == 0 && threads > 0 {
|
||
cfg.CPUSockets = 1
|
||
}
|
||
cfg.CPUCores = totalCores
|
||
cfg.CPUThreads = threads
|
||
if modelName != "" || threads > 0 {
|
||
populated = true
|
||
}
|
||
}
|
||
|
||
// Parse /proc/meminfo for total physical RAM.
|
||
if data, err := os.ReadFile("/proc/meminfo"); err == nil {
|
||
for _, line := range strings.Split(string(data), "\n") {
|
||
if strings.HasPrefix(line, "MemTotal:") {
|
||
fields := strings.Fields(line)
|
||
if len(fields) >= 2 {
|
||
kb, _ := strconv.ParseUint(fields[1], 10, 64)
|
||
cfg.MemTotalGiB = float64(kb) / (1024 * 1024)
|
||
populated = true
|
||
}
|
||
break
|
||
}
|
||
}
|
||
}
|
||
|
||
if !populated {
|
||
return nil
|
||
}
|
||
return cfg
|
||
}
|
||
|
||
// startCPULoadSampler starts a goroutine that samples host CPU load every
|
||
// intervalSec seconds until stopCh is closed, then sends the collected
|
||
// samples on the returned channel.
|
||
func startCPULoadSampler(stopCh <-chan struct{}, intervalSec int) <-chan []float64 {
|
||
ch := make(chan []float64, 1)
|
||
go func() {
|
||
var samples []float64
|
||
ticker := time.NewTicker(time.Duration(intervalSec) * time.Second)
|
||
defer ticker.Stop()
|
||
for {
|
||
select {
|
||
case <-stopCh:
|
||
ch <- samples
|
||
return
|
||
case <-ticker.C:
|
||
if pct := sampleCPULoadPct(); pct > 0 {
|
||
samples = append(samples, pct)
|
||
}
|
||
}
|
||
}
|
||
}()
|
||
return ch
|
||
}
|
||
|
||
// summarizeCPULoad computes stats over sampled CPU load values and assigns
|
||
// a health status.
|
||
func summarizeCPULoad(samples []float64) *BenchmarkCPULoad {
|
||
if len(samples) == 0 {
|
||
return nil
|
||
}
|
||
sorted := append([]float64(nil), samples...)
|
||
sort.Float64s(sorted)
|
||
var sum float64
|
||
for _, v := range sorted {
|
||
sum += v
|
||
}
|
||
avg := sum / float64(len(sorted))
|
||
p95 := sorted[int(float64(len(sorted))*0.95)]
|
||
max := sorted[len(sorted)-1]
|
||
|
||
cl := &BenchmarkCPULoad{
|
||
AvgPct: math.Round(avg*10) / 10,
|
||
MaxPct: math.Round(max*10) / 10,
|
||
P95Pct: math.Round(p95*10) / 10,
|
||
Samples: len(sorted),
|
||
}
|
||
|
||
// Compute standard deviation to detect instability.
|
||
var variance float64
|
||
for _, v := range sorted {
|
||
d := v - avg
|
||
variance += d * d
|
||
}
|
||
stdDev := math.Sqrt(variance / float64(len(sorted)))
|
||
|
||
switch {
|
||
case avg > 20 || max > 40:
|
||
cl.Status = "high"
|
||
cl.Note = fmt.Sprintf("avg %.1f%% max %.1f%% — elevated host CPU load may interfere with GPU benchmark results", avg, max)
|
||
case stdDev > 12:
|
||
cl.Status = "unstable"
|
||
cl.Note = fmt.Sprintf("avg %.1f%% stddev %.1f%% — host CPU load was erratic during the benchmark", avg, stdDev)
|
||
default:
|
||
cl.Status = "ok"
|
||
}
|
||
return cl
|
||
}
|
||
|
||
// runBenchmarkPowerCalibration runs a short dcgmi targeted_power test while
|
||
// collecting nvidia-smi power samples in parallel. It returns a map from GPU
|
||
// index to p95 observed power (watts), which is used as the reference for
|
||
// PowerSustainScore instead of the hardware default limit.
|
||
//
|
||
// If dcgmi is unavailable or the run fails the function returns an empty map
|
||
// and the caller falls back to DefaultPowerLimitW. The calibration is skipped
|
||
// gracefully — it must never block or fail the main benchmark.
|
||
func runBenchmarkPowerCalibration(
|
||
ctx context.Context,
|
||
verboseLog, runDir string,
|
||
gpuIndices []int,
|
||
logFunc func(string),
|
||
) map[int]float64 {
|
||
const calibDurationSec = 45
|
||
|
||
// dcgmi must be present.
|
||
if _, err := exec.LookPath("dcgmi"); err != nil {
|
||
logFunc("power calibration: dcgmi not found, skipping (will use default power limit)")
|
||
return map[int]float64{}
|
||
}
|
||
|
||
logFunc(fmt.Sprintf("power calibration: running dcgmi targeted_power for %ds on GPUs %s", calibDurationSec, joinIndexList(gpuIndices)))
|
||
|
||
cmd := nvidiaDCGMNamedDiagCommand("targeted_power", calibDurationSec, gpuIndices)
|
||
out, rows, err := runBenchmarkCommandWithMetrics(ctx, verboseLog, "power-calibration.log", cmd, nil, gpuIndices, runDir, "power-calibration", logFunc)
|
||
_ = os.WriteFile(filepath.Join(runDir, "power-calibration.log"), out, 0644)
|
||
if err != nil {
|
||
logFunc(fmt.Sprintf("power calibration: dcgmi targeted_power failed (%v), skipping", err))
|
||
return map[int]float64{}
|
||
}
|
||
|
||
// Group rows by GPU index and compute p95 power for each.
|
||
result := make(map[int]float64, len(gpuIndices))
|
||
for _, idx := range gpuIndices {
|
||
perGPU := filterRowsByGPU(rows, idx)
|
||
if len(perGPU) == 0 {
|
||
continue
|
||
}
|
||
powers := make([]float64, 0, len(perGPU))
|
||
for _, r := range perGPU {
|
||
if r.PowerW > 0 {
|
||
powers = append(powers, r.PowerW)
|
||
}
|
||
}
|
||
if len(powers) == 0 {
|
||
continue
|
||
}
|
||
p95 := benchmarkPercentile(powers, 95)
|
||
if p95 > 0 {
|
||
result[idx] = p95
|
||
logFunc(fmt.Sprintf("power calibration: GPU %d p95=%.0f W (%d samples)", idx, p95, len(powers)))
|
||
}
|
||
}
|
||
return result
|
||
}
|