Michael Chus
7a0b0934df
CompositeScore = raw ComputeScore (TOPS). Throttling GPUs score lower automatically — no quality multiplier distorting the compute signal. Add ServerQualityScore (0-100): server infrastructure quality independent of GPU model. Formula: 0.40×Stability + 0.30×PowerSustain + 0.30×Thermal. Use to compare servers with the same GPU or flag bad server conditions. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
430 lines
18 KiB
Go
430 lines
18 KiB
Go
package platform
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import (
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"fmt"
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"strings"
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"time"
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)
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func renderBenchmarkReport(result NvidiaBenchmarkResult) string {
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return renderBenchmarkReportWithCharts(result)
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}
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func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult) string {
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var b strings.Builder
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// ── Header ────────────────────────────────────────────────────────────────
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b.WriteString("# Bee NVIDIA Benchmark Report\n\n")
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// System identity block
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if result.ServerModel != "" {
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fmt.Fprintf(&b, "**Server:** %s \n", result.ServerModel)
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}
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if result.Hostname != "" {
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fmt.Fprintf(&b, "**Host:** %s \n", result.Hostname)
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}
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// GPU models summary
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if len(result.GPUs) > 0 {
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modelCount := make(map[string]int)
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var modelOrder []string
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for _, g := range result.GPUs {
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m := strings.TrimSpace(g.Name)
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if m == "" {
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m = "Unknown GPU"
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}
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if modelCount[m] == 0 {
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modelOrder = append(modelOrder, m)
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}
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modelCount[m]++
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}
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var parts []string
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for _, m := range modelOrder {
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if modelCount[m] == 1 {
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parts = append(parts, m)
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} else {
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parts = append(parts, fmt.Sprintf("%d× %s", modelCount[m], m))
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}
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}
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fmt.Fprintf(&b, "**GPU(s):** %s \n", strings.Join(parts, ", "))
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}
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fmt.Fprintf(&b, "**Profile:** %s \n", result.BenchmarkProfile)
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fmt.Fprintf(&b, "**Benchmark version:** %s \n", result.BenchmarkVersion)
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fmt.Fprintf(&b, "**Generated:** %s \n", result.GeneratedAt.Format("2006-01-02 15:04:05 UTC"))
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if result.RampStep > 0 && result.RampTotal > 0 {
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fmt.Fprintf(&b, "**Ramp-up step:** %d of %d \n", result.RampStep, result.RampTotal)
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if result.RampRunID != "" {
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fmt.Fprintf(&b, "**Ramp-up run ID:** %s \n", result.RampRunID)
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}
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} else if result.ParallelGPUs {
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fmt.Fprintf(&b, "**Mode:** parallel (all GPUs simultaneously) \n")
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}
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if result.ScalabilityScore > 0 {
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fmt.Fprintf(&b, "**Scalability score:** %.1f%% \n", result.ScalabilityScore)
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}
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if result.PlatformPowerScore > 0 {
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fmt.Fprintf(&b, "**Platform power score:** %.1f%% \n", result.PlatformPowerScore)
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}
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fmt.Fprintf(&b, "**Overall status:** %s \n", result.OverallStatus)
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b.WriteString("\n")
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// ── Executive Summary ─────────────────────────────────────────────────────
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if len(result.Findings) > 0 {
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b.WriteString("## Executive Summary\n\n")
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for _, finding := range result.Findings {
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fmt.Fprintf(&b, "- %s\n", finding)
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}
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b.WriteString("\n")
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}
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if len(result.Warnings) > 0 {
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b.WriteString("## Warnings\n\n")
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for _, warning := range result.Warnings {
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fmt.Fprintf(&b, "- %s\n", warning)
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}
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b.WriteString("\n")
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}
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// ── Methodology ───────────────────────────────────────────────────────────
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b.WriteString("## Methodology\n\n")
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fmt.Fprintf(&b, "- Profile `%s` uses standardized baseline → warmup → steady-state → interconnect phases.\n", result.BenchmarkProfile)
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b.WriteString("- Single-GPU compute score comes from `bee-gpu-burn` on the cuBLASLt path when available.\n")
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b.WriteString("- GPUs run at their default power limits — no pre-benchmark power calibration is performed.\n")
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b.WriteString("- Throttling and thermal state are inferred from NVIDIA clock-event counters and sustained telemetry.\n")
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b.WriteString("- `result.json` is the canonical machine-readable source for the run.\n\n")
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b.WriteString("**Compute score** is derived from two phases:\n\n")
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b.WriteString("- **Synthetic** — each precision type (int8, fp8, fp16, fp32, fp64, fp4) runs alone for a dedicated window. ")
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b.WriteString("Measures peak throughput with the full GPU memory budget dedicated to one kernel type. ")
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b.WriteString("Each result is normalised to fp32-equivalent TOPS using precision weights: ")
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b.WriteString("fp64 ×2.0 · fp32 ×1.0 · fp16 ×0.5 · int8 ×0.25 · fp8 ×0.25 · fp4 ×0.125.\n")
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b.WriteString("- **Mixed** — all precision types run simultaneously (combined phase). ")
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b.WriteString("Reflects real inference workloads where fp8 matrix ops, fp16 attention and fp32 accumulation compete for bandwidth and SM scheduler slots.\n\n")
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b.WriteString("**Formula:** `Compute = Synthetic × (1 + MixedEfficiency × 0.3)`\n\n")
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b.WriteString("where `MixedEfficiency = Mixed / Synthetic`. A GPU that sustains 90 % throughput under mixed load ")
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b.WriteString("receives a +27 % bonus over its synthetic score; one that drops to 60 % receives +18 %.\n\n")
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b.WriteString("**Platform power score** — after all single-GPU runs, a ramp-up phase adds GPUs one by one (k=2..N) ")
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b.WriteString("and measures total Synthetic TOPS. Scalability for step k = `k_total_TOPS / (k × best_single_TOPS) × 100`. ")
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b.WriteString("`PlatformPowerScore` = mean scalability across all ramp steps. 100 % means linear scaling.\n\n")
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b.WriteString("**PowerSustainScore** — power draw variance (CV) during steady-state load. ")
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b.WriteString("High variance means unstable power delivery or bursting kernels. Score = max(0, 100 − PowerCV × 3).\n\n")
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b.WriteString("**ThermalSustainScore** — temperature variance (CV) during steady-state load. ")
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b.WriteString("High variance means inconsistent cooling (fan bursts, flow instability). Score = max(0, 100 − TempCV × 3).\n\n")
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b.WriteString("**StabilityScore** — fraction of benchmark time the GPU spent throttling (thermal + power-cap). ")
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b.WriteString("1% throttle → score 99; 10% throttle → score 90. This is the heaviest quality signal.\n\n")
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b.WriteString("**CompositeScore** = raw compute TOPS (fp32-equivalent). A throttling GPU scores lower automatically.\n\n")
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b.WriteString("**ServerQualityScore** (0–100) — server infrastructure quality, independent of GPU model: \n")
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b.WriteString("`0.40×Stability + 0.30×PowerSustain + 0.30×ThermalSustain` \n")
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b.WriteString("Use this to compare servers with the same GPU type, or to flag a bad server.\n\n")
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// ── Scorecard table ───────────────────────────────────────────────────────
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b.WriteString("## Scorecard\n\n")
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b.WriteString("| GPU | Status | Compute TOPS | Synthetic | Mixed | Mixed Eff. | TOPS/SM/GHz | Server Quality | Power Sustain | Thermal Sustain | Stability | Interconnect |\n")
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b.WriteString("|-----|--------|--------------|-----------|-------|------------|-------------|----------------|---------------|-----------------|-----------|-------------|\n")
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for _, gpu := range result.GPUs {
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name := strings.TrimSpace(gpu.Name)
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if name == "" {
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name = "Unknown GPU"
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}
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interconnect := "-"
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if gpu.Scores.InterconnectScore > 0 {
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interconnect = fmt.Sprintf("%.1f", gpu.Scores.InterconnectScore)
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}
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topsPerSM := "-"
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if gpu.Scores.TOPSPerSMPerGHz > 0 {
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topsPerSM = fmt.Sprintf("%.3f", gpu.Scores.TOPSPerSMPerGHz)
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}
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synthetic := "-"
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if gpu.Scores.SyntheticScore > 0 {
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synthetic = fmt.Sprintf("%.2f", gpu.Scores.SyntheticScore)
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}
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mixed := "-"
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if gpu.Scores.MixedScore > 0 {
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mixed = fmt.Sprintf("%.2f", gpu.Scores.MixedScore)
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}
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mixedEff := "-"
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if gpu.Scores.MixedEfficiency > 0 {
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mixedEff = fmt.Sprintf("%.1f%%", gpu.Scores.MixedEfficiency*100)
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}
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fmt.Fprintf(&b, "| GPU %d %s | %s | **%.2f** | %s | %s | %s | %s | %.1f | %.1f | %.1f | %.1f | %s |\n",
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gpu.Index, name,
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gpu.Status,
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gpu.Scores.CompositeScore,
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synthetic,
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mixed,
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mixedEff,
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topsPerSM,
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gpu.Scores.ServerQualityScore,
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gpu.Scores.PowerSustainScore,
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gpu.Scores.ThermalSustainScore,
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gpu.Scores.StabilityScore,
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interconnect,
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)
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}
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b.WriteString("\n")
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// ── Per GPU detail ────────────────────────────────────────────────────────
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b.WriteString("## Per-GPU Details\n\n")
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for _, gpu := range result.GPUs {
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name := strings.TrimSpace(gpu.Name)
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if name == "" {
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name = "Unknown GPU"
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}
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fmt.Fprintf(&b, "### GPU %d — %s\n\n", gpu.Index, name)
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// Identity
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if gpu.BusID != "" {
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fmt.Fprintf(&b, "- **Bus ID:** %s\n", gpu.BusID)
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}
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if gpu.VBIOS != "" {
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fmt.Fprintf(&b, "- **vBIOS:** %s\n", gpu.VBIOS)
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}
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if gpu.ComputeCapability != "" {
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fmt.Fprintf(&b, "- **Compute capability:** %s\n", gpu.ComputeCapability)
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}
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if gpu.MultiprocessorCount > 0 {
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fmt.Fprintf(&b, "- **SMs:** %d\n", gpu.MultiprocessorCount)
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}
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if gpu.PowerLimitW > 0 {
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fmt.Fprintf(&b, "- **Power limit:** %.0f W (default %.0f W)\n", gpu.PowerLimitW, gpu.DefaultPowerLimitW)
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}
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if gpu.PowerLimitDerated {
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fmt.Fprintf(&b, "- **Power limit derating:** active (reduced limit %.0f W)\n", gpu.PowerLimitW)
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}
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if gpu.CalibratedPeakPowerW > 0 {
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if gpu.CalibratedPeakTempC > 0 {
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fmt.Fprintf(&b, "- **Calibrated peak power:** %.0f W p95 at %.1f °C p95\n", gpu.CalibratedPeakPowerW, gpu.CalibratedPeakTempC)
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} else {
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fmt.Fprintf(&b, "- **Calibrated peak power:** %.0f W p95\n", gpu.CalibratedPeakPowerW)
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}
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}
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if gpu.LockedGraphicsClockMHz > 0 {
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fmt.Fprintf(&b, "- **Locked clocks:** GPU %.0f MHz / Mem %.0f MHz\n", gpu.LockedGraphicsClockMHz, gpu.LockedMemoryClockMHz)
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}
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b.WriteString("\n")
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// Steady-state telemetry
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fmt.Fprintf(&b, "**Steady-state telemetry** (%ds):\n\n", int(gpu.Steady.DurationSec))
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b.WriteString("| | Avg | P95 |\n|---|---|---|\n")
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fmt.Fprintf(&b, "| Power | %.1f W | %.1f W |\n", gpu.Steady.AvgPowerW, gpu.Steady.P95PowerW)
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fmt.Fprintf(&b, "| Temperature | %.1f °C | %.1f °C |\n", gpu.Steady.AvgTempC, gpu.Steady.P95TempC)
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fmt.Fprintf(&b, "| GPU clock | %.0f MHz | %.0f MHz |\n", gpu.Steady.AvgGraphicsClockMHz, gpu.Steady.P95GraphicsClockMHz)
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fmt.Fprintf(&b, "| Memory clock | %.0f MHz | %.0f MHz |\n", gpu.Steady.AvgMemoryClockMHz, gpu.Steady.P95MemoryClockMHz)
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fmt.Fprintf(&b, "| GPU utilisation | %.1f %% | — |\n", gpu.Steady.AvgUsagePct)
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b.WriteString("\n")
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// Per-precision stability phases.
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if len(gpu.PrecisionSteady) > 0 {
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b.WriteString("**Per-precision stability:**\n\n")
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b.WriteString("| Precision | Status | Clock CV | Power CV | Clock Drift | ECC corr | ECC uncorr |\n|-----------|--------|----------|----------|-------------|----------|------------|\n")
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for _, p := range gpu.PrecisionSteady {
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eccCorr := "—"
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eccUncorr := "—"
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if !p.ECC.IsZero() {
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eccCorr = fmt.Sprintf("%d", p.ECC.Corrected)
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eccUncorr = fmt.Sprintf("%d", p.ECC.Uncorrected)
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}
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status := p.Status
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if strings.TrimSpace(status) == "" {
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status = "OK"
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}
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fmt.Fprintf(&b, "| %s | %s | %.1f%% | %.1f%% | %.1f%% | %s | %s |\n",
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p.Precision, status, p.Steady.ClockCVPct, p.Steady.PowerCVPct, p.Steady.ClockDriftPct,
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eccCorr, eccUncorr)
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}
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b.WriteString("\n")
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} else {
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// Legacy: show combined-window variance.
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fmt.Fprintf(&b, "**Clock/power variance (combined window):** clock CV %.1f%% · power CV %.1f%% · clock drift %.1f%%\n\n",
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gpu.Steady.ClockCVPct, gpu.Steady.PowerCVPct, gpu.Steady.ClockDriftPct)
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}
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// ECC summary
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if !gpu.ECC.IsZero() {
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fmt.Fprintf(&b, "**ECC errors (total):** corrected=%d uncorrected=%d\n\n",
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gpu.ECC.Corrected, gpu.ECC.Uncorrected)
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}
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// Throttle
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throttle := formatThrottleLine(gpu.Throttle, gpu.Steady.DurationSec)
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if throttle != "none" {
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fmt.Fprintf(&b, "**Throttle:** %s\n\n", throttle)
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}
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// Precision results
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if len(gpu.PrecisionResults) > 0 {
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b.WriteString("**Precision results:**\n\n")
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b.WriteString("| Precision | TOPS (raw) | Weight | TOPS (fp32-eq) | Lanes | Iterations |\n|-----------|------------|--------|----------------|-------|------------|\n")
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for _, p := range gpu.PrecisionResults {
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if p.Supported {
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weightStr := fmt.Sprintf("×%.3g", p.Weight)
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fmt.Fprintf(&b, "| %s | %.2f | %s | %.2f | %d | %d |\n",
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p.Name, p.TeraOpsPerSec, weightStr, p.WeightedTeraOpsPerSec, p.Lanes, p.Iterations)
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} else {
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fmt.Fprintf(&b, "| %s | — (unsupported) | — | — | — | — |\n", p.Name)
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}
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}
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b.WriteString("\n")
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}
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// Degradation / Notes
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if len(gpu.DegradationReasons) > 0 {
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fmt.Fprintf(&b, "**Degradation reasons:** %s\n\n", strings.Join(gpu.DegradationReasons, ", "))
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}
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if len(gpu.Notes) > 0 {
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b.WriteString("**Notes:**\n\n")
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for _, note := range gpu.Notes {
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fmt.Fprintf(&b, "- %s\n", note)
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}
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b.WriteString("\n")
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}
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}
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// ── Interconnect ──────────────────────────────────────────────────────────
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if result.Interconnect != nil {
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b.WriteString("## Interconnect (NCCL)\n\n")
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fmt.Fprintf(&b, "**Status:** %s\n\n", result.Interconnect.Status)
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if result.Interconnect.Supported {
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b.WriteString("| Metric | Avg | Max |\n|--------|-----|-----|\n")
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fmt.Fprintf(&b, "| Alg BW | %.1f GB/s | %.1f GB/s |\n", result.Interconnect.AvgAlgBWGBps, result.Interconnect.MaxAlgBWGBps)
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fmt.Fprintf(&b, "| Bus BW | %.1f GB/s | %.1f GB/s |\n", result.Interconnect.AvgBusBWGBps, result.Interconnect.MaxBusBWGBps)
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b.WriteString("\n")
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}
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for _, note := range result.Interconnect.Notes {
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fmt.Fprintf(&b, "- %s\n", note)
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}
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if len(result.Interconnect.Notes) > 0 {
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b.WriteString("\n")
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}
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}
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// ── Server Power (IPMI) ───────────────────────────────────────────────────
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if sp := result.ServerPower; sp != nil {
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b.WriteString("## Server Power (IPMI)\n\n")
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if !sp.Available {
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b.WriteString("IPMI power measurement unavailable.\n\n")
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} else {
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b.WriteString("| | Value |\n|---|---|\n")
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fmt.Fprintf(&b, "| Server idle | %.0f W |\n", sp.IdleW)
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fmt.Fprintf(&b, "| Server under load | %.0f W |\n", sp.LoadedW)
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fmt.Fprintf(&b, "| Server delta (load − idle) | %.0f W |\n", sp.DeltaW)
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fmt.Fprintf(&b, "| GPU-reported sum | %.0f W |\n", sp.GPUReportedSumW)
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if sp.ReportingRatio > 0 {
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fmt.Fprintf(&b, "| Reporting ratio | %.2f (1.0 = accurate, <0.75 = GPU over-reports) |\n", sp.ReportingRatio)
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}
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b.WriteString("\n")
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}
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for _, note := range sp.Notes {
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fmt.Fprintf(&b, "- %s\n", note)
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}
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if len(sp.Notes) > 0 {
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b.WriteString("\n")
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}
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}
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// ── Cooling ───────────────────────────────────────────────────────────────
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if cooling := result.Cooling; cooling != nil {
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b.WriteString("## Cooling\n\n")
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if cooling.Available {
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b.WriteString("| Metric | Value |\n|--------|-------|\n")
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fmt.Fprintf(&b, "| Average fan speed | %.0f RPM |\n", cooling.AvgFanRPM)
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if cooling.FanDutyCycleAvailable {
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fmt.Fprintf(&b, "| Average fan duty cycle | %.1f%% |\n", cooling.AvgFanDutyCyclePct)
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fmt.Fprintf(&b, "| P95 fan duty cycle | %.1f%% |\n", cooling.P95FanDutyCyclePct)
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} else {
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b.WriteString("| Average fan duty cycle | N/A |\n")
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b.WriteString("| P95 fan duty cycle | N/A |\n")
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}
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b.WriteString("\n")
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} else {
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b.WriteString("Cooling telemetry unavailable.\n\n")
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}
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for _, note := range cooling.Notes {
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fmt.Fprintf(&b, "- %s\n", note)
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}
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if len(cooling.Notes) > 0 {
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b.WriteString("\n")
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}
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}
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// ── Platform Scalability ──────────────────────────────────────────────────
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if len(result.PerformanceRampSteps) > 0 {
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b.WriteString("## Platform Scalability (Performance Ramp)\n\n")
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fmt.Fprintf(&b, "**Platform power score:** %.1f%% \n\n", result.PlatformPowerScore)
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b.WriteString("| k GPUs | GPU Indices | Total Synthetic TOPS | Scalability |\n")
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b.WriteString("|--------|-------------|----------------------|-------------|\n")
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for _, step := range result.PerformanceRampSteps {
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fmt.Fprintf(&b, "| %d | %s | %.2f | %.1f%% |\n",
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step.StepIndex, joinIndexList(step.GPUIndices), step.TotalSyntheticTOPS, step.ScalabilityPct)
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}
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b.WriteString("\n")
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}
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// ── Raw files ─────────────────────────────────────────────────────────────
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b.WriteString("## Raw Files\n\n")
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b.WriteString("- `result.json`\n- `report.md`\n- `summary.txt`\n- `verbose.log`\n")
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b.WriteString("- `gpu-metrics.csv`\n- `gpu-metrics.html`\n- `gpu-burn.log`\n")
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if result.Interconnect != nil {
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b.WriteString("- `nccl-all-reduce.log`\n")
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}
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return b.String()
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}
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// formatThrottleLine renders throttle counters as human-readable percentages of
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// the steady-state window. Only non-zero counters are shown. When the steady
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// duration is unknown (0), raw seconds are shown instead.
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func formatThrottleLine(t BenchmarkThrottleCounters, steadyDurationSec float64) string {
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type counter struct {
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label string
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us uint64
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}
|
||
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_version=%s\n", result.BenchmarkVersion)
|
||
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()
|
||
}
|