Files
bee/audit/internal/platform/benchmark_report.go
Michael Chus bf6ecab4f0 Add per-precision benchmark phases, weighted TOPS scoring, and ECC tracking
- Split steady window into 6 equal slots: fp8/fp16/fp32/fp64/fp4 + combined
- Each precision phase runs bee-gpu-burn with --precision filter so PowerCVPct reflects single-kernel stability (not round-robin artifact)
- Add fp4 support in bee-gpu-stress.c for Blackwell (cc>=100) via existing CUDA_R_4F_E2M1 guard
- Weighted TOPS: fp64×2.0, fp32×1.0, fp16×0.5, fp8×0.25, fp4×0.125
- SyntheticScore = sum of weighted TOPS from per-precision phases
- MixedScore = sum from combined phase; MixedEfficiency = Mixed/Synthetic
- ComputeScore = SyntheticScore × (1 + MixedEfficiency × 0.3)
- ECC volatile counters sampled before/after each phase and overall
- DegradationReasons: ecc_uncorrected_errors, ecc_corrected_errors
- Report: per-precision stability table with ECC columns, methodology section
- Ramp-up history table redesign: GPU indices as columns, runs as rows

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-13 10:49:49 +03:00

413 lines
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package platform
import (
"fmt"
"os"
"path/filepath"
"regexp"
"strings"
"time"
)
func renderBenchmarkReport(result NvidiaBenchmarkResult) string {
return renderBenchmarkReportWithCharts(result, nil)
}
type benchmarkReportChart struct {
Title string
Content string
}
var ansiEscapePattern = regexp.MustCompile(`\x1b\[[0-9;]*m`)
func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult, charts []benchmarkReportChart) string {
var b strings.Builder
// ── Header ────────────────────────────────────────────────────────────────
b.WriteString("# Bee NVIDIA Benchmark Report\n\n")
// System identity block
if result.ServerModel != "" {
fmt.Fprintf(&b, "**Server:** %s \n", result.ServerModel)
}
if result.Hostname != "" {
fmt.Fprintf(&b, "**Host:** %s \n", result.Hostname)
}
// GPU models summary
if len(result.GPUs) > 0 {
modelCount := make(map[string]int)
var modelOrder []string
for _, g := range result.GPUs {
m := strings.TrimSpace(g.Name)
if m == "" {
m = "Unknown GPU"
}
if modelCount[m] == 0 {
modelOrder = append(modelOrder, m)
}
modelCount[m]++
}
var parts []string
for _, m := range modelOrder {
if modelCount[m] == 1 {
parts = append(parts, m)
} else {
parts = append(parts, fmt.Sprintf("%d× %s", modelCount[m], m))
}
}
fmt.Fprintf(&b, "**GPU(s):** %s \n", strings.Join(parts, ", "))
}
fmt.Fprintf(&b, "**Profile:** %s \n", result.BenchmarkProfile)
fmt.Fprintf(&b, "**App version:** %s \n", result.BenchmarkVersion)
fmt.Fprintf(&b, "**Generated:** %s \n", result.GeneratedAt.Format("2006-01-02 15:04:05 UTC"))
if result.RampStep > 0 && result.RampTotal > 0 {
fmt.Fprintf(&b, "**Ramp-up step:** %d of %d \n", result.RampStep, result.RampTotal)
if result.RampRunID != "" {
fmt.Fprintf(&b, "**Ramp-up run ID:** %s \n", result.RampRunID)
}
} else if result.ParallelGPUs {
fmt.Fprintf(&b, "**Mode:** parallel (all GPUs simultaneously) \n")
}
if result.ScalabilityScore > 0 {
fmt.Fprintf(&b, "**Scalability score:** %.1f%% \n", result.ScalabilityScore)
}
fmt.Fprintf(&b, "**Overall status:** %s \n", result.OverallStatus)
b.WriteString("\n")
// ── Executive Summary ─────────────────────────────────────────────────────
if len(result.Findings) > 0 {
b.WriteString("## Executive Summary\n\n")
for _, finding := range result.Findings {
fmt.Fprintf(&b, "- %s\n", finding)
}
b.WriteString("\n")
}
if len(result.Warnings) > 0 {
b.WriteString("## Warnings\n\n")
for _, warning := range result.Warnings {
fmt.Fprintf(&b, "- %s\n", warning)
}
b.WriteString("\n")
}
// ── Scoring methodology ───────────────────────────────────────────────────
b.WriteString("## Scoring Methodology\n\n")
b.WriteString("**Compute score** is derived from two phases:\n\n")
b.WriteString("- **Synthetic** — each precision type (fp8, fp16, fp32, fp64, fp4) runs alone for a dedicated window. ")
b.WriteString("Measures peak throughput with the full GPU dedicated to one kernel type. ")
b.WriteString("Each result is normalised to fp32-equivalent TOPS using precision weights: ")
b.WriteString("fp64 ×2.0 · fp32 ×1.0 · fp16 ×0.5 · fp8 ×0.25 · fp4 ×0.125.\n")
b.WriteString("- **Mixed** — all precision types run simultaneously (combined phase). ")
b.WriteString("Reflects real inference workloads where fp8 matrix ops, fp16 attention and fp32 accumulation compete for bandwidth and SM scheduler slots.\n\n")
b.WriteString("**Formula:** `Compute = Synthetic × (1 + MixedEfficiency × 0.3)`\n\n")
b.WriteString("where `MixedEfficiency = Mixed / Synthetic`. A GPU that sustains 90 % throughput under mixed load ")
b.WriteString("receives a +27 % bonus over its synthetic score; one that drops to 60 % receives +18 %.\n\n")
b.WriteString("**Composite score** = `Compute × quality_factor` where quality factors in power sustain, thermal sustain, stability, and interconnect.\n\n")
// ── Scorecard table ───────────────────────────────────────────────────────
b.WriteString("## Scorecard\n\n")
b.WriteString("| GPU | Status | Composite | Compute | Synthetic | Mixed | Mixed Eff. | TOPS/SM/GHz | Power Sustain | Thermal Sustain | Stability | Interconnect |\n")
b.WriteString("|-----|--------|-----------|---------|-----------|-------|------------|-------------|---------------|-----------------|-----------|-------------|\n")
for _, gpu := range result.GPUs {
name := strings.TrimSpace(gpu.Name)
if name == "" {
name = "Unknown GPU"
}
interconnect := "-"
if gpu.Scores.InterconnectScore > 0 {
interconnect = fmt.Sprintf("%.1f", gpu.Scores.InterconnectScore)
}
topsPerSM := "-"
if gpu.Scores.TOPSPerSMPerGHz > 0 {
topsPerSM = fmt.Sprintf("%.3f", gpu.Scores.TOPSPerSMPerGHz)
}
synthetic := "-"
if gpu.Scores.SyntheticScore > 0 {
synthetic = fmt.Sprintf("%.2f", gpu.Scores.SyntheticScore)
}
mixed := "-"
if gpu.Scores.MixedScore > 0 {
mixed = fmt.Sprintf("%.2f", gpu.Scores.MixedScore)
}
mixedEff := "-"
if gpu.Scores.MixedEfficiency > 0 {
mixedEff = fmt.Sprintf("%.1f%%", gpu.Scores.MixedEfficiency*100)
}
fmt.Fprintf(&b, "| GPU %d %s | %s | **%.2f** | %.2f | %s | %s | %s | %s | %.1f | %.1f | %.1f | %s |\n",
gpu.Index, name,
gpu.Status,
gpu.Scores.CompositeScore,
gpu.Scores.ComputeScore,
synthetic,
mixed,
mixedEff,
topsPerSM,
gpu.Scores.PowerSustainScore,
gpu.Scores.ThermalSustainScore,
gpu.Scores.StabilityScore,
interconnect,
)
}
b.WriteString("\n")
// ── Per GPU detail ────────────────────────────────────────────────────────
b.WriteString("## Per-GPU Details\n\n")
for _, gpu := range result.GPUs {
name := strings.TrimSpace(gpu.Name)
if name == "" {
name = "Unknown GPU"
}
fmt.Fprintf(&b, "### GPU %d — %s\n\n", gpu.Index, name)
// Identity
if gpu.BusID != "" {
fmt.Fprintf(&b, "- **Bus ID:** %s\n", gpu.BusID)
}
if gpu.VBIOS != "" {
fmt.Fprintf(&b, "- **vBIOS:** %s\n", gpu.VBIOS)
}
if gpu.ComputeCapability != "" {
fmt.Fprintf(&b, "- **Compute capability:** %s\n", gpu.ComputeCapability)
}
if gpu.MultiprocessorCount > 0 {
fmt.Fprintf(&b, "- **SMs:** %d\n", gpu.MultiprocessorCount)
}
if gpu.PowerLimitW > 0 {
fmt.Fprintf(&b, "- **Power limit:** %.0f W (default %.0f W)\n", gpu.PowerLimitW, gpu.DefaultPowerLimitW)
}
if gpu.LockedGraphicsClockMHz > 0 {
fmt.Fprintf(&b, "- **Locked clocks:** GPU %.0f MHz / Mem %.0f MHz\n", gpu.LockedGraphicsClockMHz, gpu.LockedMemoryClockMHz)
}
b.WriteString("\n")
// Steady-state telemetry
fmt.Fprintf(&b, "**Steady-state telemetry** (%ds):\n\n", int(gpu.Steady.DurationSec))
b.WriteString("| | Avg | P95 |\n|---|---|---|\n")
fmt.Fprintf(&b, "| Power | %.1f W | %.1f W |\n", gpu.Steady.AvgPowerW, gpu.Steady.P95PowerW)
fmt.Fprintf(&b, "| Temperature | %.1f °C | %.1f °C |\n", gpu.Steady.AvgTempC, gpu.Steady.P95TempC)
fmt.Fprintf(&b, "| GPU clock | %.0f MHz | %.0f MHz |\n", gpu.Steady.AvgGraphicsClockMHz, gpu.Steady.P95GraphicsClockMHz)
fmt.Fprintf(&b, "| Memory clock | %.0f MHz | %.0f MHz |\n", gpu.Steady.AvgMemoryClockMHz, gpu.Steady.P95MemoryClockMHz)
fmt.Fprintf(&b, "| GPU utilisation | %.1f %% | — |\n", gpu.Steady.AvgUsagePct)
b.WriteString("\n")
// Per-precision stability phases.
if len(gpu.PrecisionSteady) > 0 {
b.WriteString("**Per-precision stability:**\n\n")
b.WriteString("| Precision | Clock CV | Power CV | Clock Drift | ECC corr | ECC uncorr |\n|-----------|----------|----------|-------------|----------|------------|\n")
for _, p := range gpu.PrecisionSteady {
eccCorr := "—"
eccUncorr := "—"
if !p.ECC.IsZero() {
eccCorr = fmt.Sprintf("%d", p.ECC.Corrected)
eccUncorr = fmt.Sprintf("%d", p.ECC.Uncorrected)
}
fmt.Fprintf(&b, "| %s | %.1f%% | %.1f%% | %.1f%% | %s | %s |\n",
p.Precision, p.Steady.ClockCVPct, p.Steady.PowerCVPct, p.Steady.ClockDriftPct,
eccCorr, eccUncorr)
}
b.WriteString("\n")
} else {
// Legacy: show combined-window variance.
fmt.Fprintf(&b, "**Clock/power variance (combined window):** clock CV %.1f%% · power CV %.1f%% · clock drift %.1f%%\n\n",
gpu.Steady.ClockCVPct, gpu.Steady.PowerCVPct, gpu.Steady.ClockDriftPct)
}
// ECC summary
if !gpu.ECC.IsZero() {
fmt.Fprintf(&b, "**ECC errors (total):** corrected=%d uncorrected=%d\n\n",
gpu.ECC.Corrected, gpu.ECC.Uncorrected)
}
// Throttle
throttle := formatThrottleLine(gpu.Throttle, gpu.Steady.DurationSec)
if throttle != "none" {
fmt.Fprintf(&b, "**Throttle:** %s\n\n", throttle)
}
// Precision results
if len(gpu.PrecisionResults) > 0 {
b.WriteString("**Precision results:**\n\n")
b.WriteString("| Precision | TOPS (raw) | Weight | TOPS (fp32-eq) | Lanes | Iterations |\n|-----------|------------|--------|----------------|-------|------------|\n")
for _, p := range gpu.PrecisionResults {
if p.Supported {
weightStr := fmt.Sprintf("×%.3g", p.Weight)
fmt.Fprintf(&b, "| %s | %.2f | %s | %.2f | %d | %d |\n",
p.Name, p.TeraOpsPerSec, weightStr, p.WeightedTeraOpsPerSec, p.Lanes, p.Iterations)
} else {
fmt.Fprintf(&b, "| %s | — (unsupported) | — | — | — | — |\n", p.Name)
}
}
b.WriteString("\n")
}
// Degradation / Notes
if len(gpu.DegradationReasons) > 0 {
fmt.Fprintf(&b, "**Degradation reasons:** %s\n\n", strings.Join(gpu.DegradationReasons, ", "))
}
if len(gpu.Notes) > 0 {
b.WriteString("**Notes:**\n\n")
for _, note := range gpu.Notes {
fmt.Fprintf(&b, "- %s\n", note)
}
b.WriteString("\n")
}
}
// ── Interconnect ──────────────────────────────────────────────────────────
if result.Interconnect != nil {
b.WriteString("## Interconnect (NCCL)\n\n")
fmt.Fprintf(&b, "**Status:** %s\n\n", result.Interconnect.Status)
if result.Interconnect.Supported {
b.WriteString("| Metric | Avg | Max |\n|--------|-----|-----|\n")
fmt.Fprintf(&b, "| Alg BW | %.1f GB/s | %.1f GB/s |\n", result.Interconnect.AvgAlgBWGBps, result.Interconnect.MaxAlgBWGBps)
fmt.Fprintf(&b, "| Bus BW | %.1f GB/s | %.1f GB/s |\n", result.Interconnect.AvgBusBWGBps, result.Interconnect.MaxBusBWGBps)
b.WriteString("\n")
}
for _, note := range result.Interconnect.Notes {
fmt.Fprintf(&b, "- %s\n", note)
}
if len(result.Interconnect.Notes) > 0 {
b.WriteString("\n")
}
}
// ── Server Power (IPMI) ───────────────────────────────────────────────────
if sp := result.ServerPower; sp != nil {
b.WriteString("## Server Power (IPMI)\n\n")
if !sp.Available {
b.WriteString("IPMI power measurement unavailable.\n\n")
} else {
b.WriteString("| | Value |\n|---|---|\n")
fmt.Fprintf(&b, "| Server idle | %.0f W |\n", sp.IdleW)
fmt.Fprintf(&b, "| Server under load | %.0f W |\n", sp.LoadedW)
fmt.Fprintf(&b, "| Server delta (load idle) | %.0f W |\n", sp.DeltaW)
fmt.Fprintf(&b, "| GPU-reported sum | %.0f W |\n", sp.GPUReportedSumW)
if sp.ReportingRatio > 0 {
fmt.Fprintf(&b, "| Reporting ratio | %.2f (1.0 = accurate, <0.75 = GPU over-reports) |\n", sp.ReportingRatio)
}
b.WriteString("\n")
}
for _, note := range sp.Notes {
fmt.Fprintf(&b, "- %s\n", note)
}
if len(sp.Notes) > 0 {
b.WriteString("\n")
}
}
// ── Terminal charts (steady-state only) ───────────────────────────────────
if len(charts) > 0 {
b.WriteString("## Steady-State Charts\n\n")
for _, chart := range charts {
content := strings.TrimSpace(stripANSIEscapeSequences(chart.Content))
if content == "" {
continue
}
fmt.Fprintf(&b, "### %s\n\n```\n%s\n```\n\n", chart.Title, content)
}
}
// ── Methodology ───────────────────────────────────────────────────────────
b.WriteString("## Methodology\n\n")
fmt.Fprintf(&b, "- Profile `%s` uses standardized baseline → warmup → steady-state → interconnect → cooldown phases.\n", result.BenchmarkProfile)
b.WriteString("- Single-GPU compute score from bee-gpu-burn cuBLASLt when available.\n")
b.WriteString("- Thermal and power limitations inferred from NVIDIA clock event reason counters and sustained telemetry.\n")
b.WriteString("- `result.json` is the canonical machine-readable source for this benchmark run.\n\n")
// ── Raw files ─────────────────────────────────────────────────────────────
b.WriteString("## Raw Files\n\n")
b.WriteString("- `result.json`\n- `report.md`\n- `summary.txt`\n- `verbose.log`\n")
b.WriteString("- `gpu-*-baseline-metrics.csv/html/term.txt`\n")
b.WriteString("- `gpu-*-warmup.log`\n")
b.WriteString("- `gpu-*-steady.log`\n")
b.WriteString("- `gpu-*-steady-metrics.csv/html/term.txt`\n")
b.WriteString("- `gpu-*-cooldown-metrics.csv/html/term.txt`\n")
if result.Interconnect != nil {
b.WriteString("- `nccl-all-reduce.log`\n")
}
return b.String()
}
// loadBenchmarkReportCharts loads only steady-state terminal charts (baseline and
// cooldown charts are not useful for human review).
func loadBenchmarkReportCharts(runDir string, gpuIndices []int) []benchmarkReportChart {
var charts []benchmarkReportChart
for _, idx := range gpuIndices {
path := filepath.Join(runDir, fmt.Sprintf("gpu-%d-steady-metrics-term.txt", idx))
raw, err := os.ReadFile(path)
if err != nil || len(raw) == 0 {
continue
}
charts = append(charts, benchmarkReportChart{
Title: fmt.Sprintf("GPU %d — Steady State", idx),
Content: string(raw),
})
}
return charts
}
func stripANSIEscapeSequences(raw string) string {
return ansiEscapePattern.ReplaceAllString(raw, "")
}
// formatThrottleLine renders throttle counters as human-readable percentages of
// the steady-state window. Only non-zero counters are shown. When the steady
// duration is unknown (0), raw seconds are shown instead.
func formatThrottleLine(t BenchmarkThrottleCounters, steadyDurationSec float64) string {
type counter struct {
label string
us uint64
}
counters := []counter{
{"sw_power", t.SWPowerCapUS},
{"sw_thermal", t.SWThermalSlowdownUS},
{"sync_boost", t.SyncBoostUS},
{"hw_thermal", t.HWThermalSlowdownUS},
{"hw_power_brake", t.HWPowerBrakeSlowdownUS},
}
var parts []string
for _, c := range counters {
if c.us == 0 {
continue
}
sec := float64(c.us) / 1e6
if steadyDurationSec > 0 {
pct := sec / steadyDurationSec * 100
parts = append(parts, fmt.Sprintf("%s=%.1f%% (%.0fs)", c.label, pct, sec))
} else if sec < 1 {
parts = append(parts, fmt.Sprintf("%s=%.0fms", c.label, sec*1000))
} else {
parts = append(parts, fmt.Sprintf("%s=%.1fs", c.label, sec))
}
}
if len(parts) == 0 {
return "none"
}
return strings.Join(parts, " ")
}
func renderBenchmarkSummary(result NvidiaBenchmarkResult) string {
var b strings.Builder
fmt.Fprintf(&b, "run_at_utc=%s\n", result.GeneratedAt.Format(time.RFC3339))
fmt.Fprintf(&b, "benchmark_profile=%s\n", result.BenchmarkProfile)
fmt.Fprintf(&b, "overall_status=%s\n", result.OverallStatus)
fmt.Fprintf(&b, "gpu_count=%d\n", len(result.GPUs))
fmt.Fprintf(&b, "normalization_status=%s\n", result.Normalization.Status)
var best float64
for i, gpu := range result.GPUs {
fmt.Fprintf(&b, "gpu_%d_status=%s\n", gpu.Index, gpu.Status)
fmt.Fprintf(&b, "gpu_%d_composite_score=%.2f\n", gpu.Index, gpu.Scores.CompositeScore)
if i == 0 || gpu.Scores.CompositeScore > best {
best = gpu.Scores.CompositeScore
}
}
fmt.Fprintf(&b, "best_composite_score=%.2f\n", best)
if result.Interconnect != nil {
fmt.Fprintf(&b, "interconnect_status=%s\n", result.Interconnect.Status)
fmt.Fprintf(&b, "interconnect_max_busbw_gbps=%.1f\n", result.Interconnect.MaxBusBWGBps)
}
return b.String()
}