Fix combined gpu burn profile capacity for fp4

audit/internal/platform/benchmark.go

@@ -125,6 +125,8 @@ func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts Nv
 	}
 
 	logFunc(fmt.Sprintf("NVIDIA benchmark profile=%s gpus=%s", spec.Name, joinIndexList(selected)))
+	var metricRows []GPUMetricRow
+	gpuBurnLog := filepath.Join(runDir, "gpu-burn.log")
 
 	// Server power characterization state — populated during per-GPU phases.
 	var serverIdleW, serverLoadedWSum float64
@@ -171,199 +173,202 @@ func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts Nv
 	cpuSamplesCh := startCPULoadSampler(cpuStopCh, 10)
 
 	if opts.ParallelGPUs {
-		runNvidiaBenchmarkParallel(ctx, verboseLog, runDir, selected, infoByIndex, opts, spec, logFunc, &result, calibPowerByIndex, &serverIdleW, &serverLoadedWSum, &serverIdleOK, &serverLoadedOK, &serverLoadedSamples)
+		runNvidiaBenchmarkParallel(ctx, verboseLog, runDir, selected, infoByIndex, opts, spec, logFunc, &result, calibPowerByIndex, &serverIdleW, &serverLoadedWSum, &serverIdleOK, &serverLoadedOK, &serverLoadedSamples, &metricRows, gpuBurnLog)
 	} else {
 
-	for _, idx := range selected {
+		for _, idx := range selected {
-		gpuResult := BenchmarkGPUResult{
+			gpuResult := BenchmarkGPUResult{
-			Index:  idx,
+				Index:  idx,
-			Status: "FAILED",
+				Status: "FAILED",
-		}
+			}
-		if info, ok := infoByIndex[idx]; ok {
+			if info, ok := infoByIndex[idx]; ok {
-			gpuResult.UUID = info.UUID
+				gpuResult.UUID = info.UUID
-			gpuResult.Name = info.Name
+				gpuResult.Name = info.Name
-			gpuResult.BusID = info.BusID
+				gpuResult.BusID = info.BusID
-			gpuResult.VBIOS = info.VBIOS
+				gpuResult.VBIOS = info.VBIOS
-			gpuResult.PowerLimitW = info.PowerLimitW
+				gpuResult.PowerLimitW = info.PowerLimitW
-			gpuResult.MultiprocessorCount = info.MultiprocessorCount
+				gpuResult.MultiprocessorCount = info.MultiprocessorCount
-			gpuResult.DefaultPowerLimitW = info.DefaultPowerLimitW
+				gpuResult.DefaultPowerLimitW = info.DefaultPowerLimitW
-			gpuResult.MaxGraphicsClockMHz = info.MaxGraphicsClockMHz
+				gpuResult.MaxGraphicsClockMHz = info.MaxGraphicsClockMHz
-			gpuResult.BaseGraphicsClockMHz = info.BaseGraphicsClockMHz
+				gpuResult.BaseGraphicsClockMHz = info.BaseGraphicsClockMHz
-			gpuResult.MaxMemoryClockMHz = info.MaxMemoryClockMHz
+				gpuResult.MaxMemoryClockMHz = info.MaxMemoryClockMHz
-		}
+			}
-		if w, ok := calibPowerByIndex[idx]; ok && w > 0 {
+			if w, ok := calibPowerByIndex[idx]; ok && w > 0 {
-			gpuResult.CalibratedPeakPowerW = w
+				gpuResult.CalibratedPeakPowerW = w
-		}
+			}
-		if norm := findBenchmarkNormalization(result.Normalization.GPUs, idx); norm != nil {
+			if norm := findBenchmarkNormalization(result.Normalization.GPUs, idx); norm != nil {
-			gpuResult.LockedGraphicsClockMHz = norm.GPUClockLockMHz
+				gpuResult.LockedGraphicsClockMHz = norm.GPUClockLockMHz
-			gpuResult.LockedMemoryClockMHz = norm.MemoryClockLockMHz
+				gpuResult.LockedMemoryClockMHz = norm.MemoryClockLockMHz
-		}
-
-		baselineRows, err := collectBenchmarkSamples(ctx, spec.BaselineSec, []int{idx})
-		if err != nil && err != context.Canceled {
-			gpuResult.Notes = append(gpuResult.Notes, "baseline sampling failed: "+err.Error())
-		}
-		gpuResult.Baseline = summarizeBenchmarkTelemetry(baselineRows)
-		writeBenchmarkMetricsFiles(runDir, fmt.Sprintf("gpu-%d-baseline", idx), baselineRows)
-
-		// Sample server idle power once (first GPU only — server state is global).
-		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))
 			}
-		}
 
-		warmupCmd := []string{
+			baselineRows, err := collectBenchmarkSamples(ctx, spec.BaselineSec, []int{idx})
-			"bee-gpu-burn",
+			if err != nil && err != context.Canceled {
-			"--seconds", strconv.Itoa(spec.WarmupSec),
+				gpuResult.Notes = append(gpuResult.Notes, "baseline sampling failed: "+err.Error())
-			"--size-mb", strconv.Itoa(opts.SizeMB),
+			}
-			"--devices", strconv.Itoa(idx),
+			gpuResult.Baseline = summarizeBenchmarkTelemetry(baselineRows)
-		}
+			appendBenchmarkMetrics(&metricRows, baselineRows, fmt.Sprintf("gpu-%d-baseline", idx))
-		logFunc(fmt.Sprintf("GPU %d: warmup (%ds)", idx, spec.WarmupSec))
-		warmupOut, _, warmupErr := runBenchmarkCommandWithMetrics(ctx, verboseLog, fmt.Sprintf("gpu-%d-warmup.log", idx), warmupCmd, nil, []int{idx}, runDir, fmt.Sprintf("gpu-%d-warmup", idx), logFunc)
-		_ = os.WriteFile(filepath.Join(runDir, fmt.Sprintf("gpu-%d-warmup.log", idx)), warmupOut, 0644)
-		if warmupErr != nil {
-			gpuResult.Notes = append(gpuResult.Notes, "warmup failed: "+warmupErr.Error())
-			result.GPUs = append(result.GPUs, finalizeBenchmarkGPUResult(gpuResult))
-			continue
-		}
 
-		// ── Per-precision stability phases ────────────────────────────────────────
+			// Sample server idle power once (first GPU only — server state is global).
-		// Run each precision category alone so PowerCVPct reflects genuine GPU
+			if !serverIdleOK {
-		// power stability, not kernel-mix variance.
+				if w, ok := sampleIPMIPowerSeries(ctx, maxInt(spec.BaselineSec, 10)); ok {
-		// Time budget: each phase gets steadySec/numPhases, minimum 60 s.
+					serverIdleW = w
-		// SteadySec is split equally across all precision phases + 1 combined slot.
+					serverIdleOK = true
-		// Skipped phases (unsupported precision) are simply omitted; combined is fixed.
+					logFunc(fmt.Sprintf("server idle power (IPMI): %.0f W", w))
-		totalSlots := len(benchmarkPrecisionPhases) + 1
+				}
-		perPhaseSec := spec.SteadySec / totalSlots
+			}
-		if perPhaseSec < 60 {
+
-			perPhaseSec = 60
+			warmupCmd := []string{
-		}
+				"bee-gpu-burn",
-		eccBase, _ := queryECCCounters(idx)
+				"--seconds", strconv.Itoa(spec.WarmupSec),
-		for _, prec := range benchmarkPrecisionPhases {
+				"--size-mb", strconv.Itoa(opts.SizeMB),
-			phaseCmd := []string{
+				"--devices", strconv.Itoa(idx),
+			}
+			logFunc(fmt.Sprintf("GPU %d: warmup (%ds)", idx, spec.WarmupSec))
+			warmupOut, warmupRows, warmupErr := runBenchmarkCommandWithMetrics(ctx, verboseLog, fmt.Sprintf("gpu-%d-warmup.log", idx), warmupCmd, nil, []int{idx}, logFunc)
+			appendBenchmarkMetrics(&metricRows, warmupRows, fmt.Sprintf("gpu-%d-warmup", idx))
+			appendBenchmarkStageLog(gpuBurnLog, "bee-gpu-burn", fmt.Sprintf("gpu-%d-warmup", idx), warmupOut)
+			if warmupErr != nil {
+				gpuResult.Notes = append(gpuResult.Notes, "warmup failed: "+warmupErr.Error())
+				result.GPUs = append(result.GPUs, finalizeBenchmarkGPUResult(gpuResult))
+				continue
+			}
+
+			// ── Per-precision stability phases ────────────────────────────────────────
+			// Run each precision category alone so PowerCVPct reflects genuine GPU
+			// power stability, not kernel-mix variance.
+			// Time budget: each phase gets steadySec/numPhases, minimum 60 s.
+			// SteadySec is split equally across all precision phases + 1 combined slot.
+			// Skipped phases (unsupported precision) are simply omitted; combined is fixed.
+			totalSlots := len(benchmarkPrecisionPhases) + 1
+			perPhaseSec := spec.SteadySec / totalSlots
+			if perPhaseSec < 60 {
+				perPhaseSec = 60
+			}
+			eccBase, _ := queryECCCounters(idx)
+			for _, prec := range benchmarkPrecisionPhases {
+				phaseCmd := []string{
+					"bee-gpu-burn",
+					"--seconds", strconv.Itoa(perPhaseSec),
+					"--size-mb", strconv.Itoa(opts.SizeMB),
+					"--devices", strconv.Itoa(idx),
+					"--precision", prec,
+				}
+				logFunc(fmt.Sprintf("GPU %d: %s stability phase (%ds)", idx, prec, perPhaseSec))
+				phaseLogName := fmt.Sprintf("gpu-%d-steady-%s", idx, prec)
+				eccBefore, _ := queryECCCounters(idx)
+				phaseOut, phaseRows, phaseErr := runBenchmarkCommandWithMetrics(ctx, verboseLog, phaseLogName+".log", phaseCmd, nil, []int{idx}, logFunc)
+				appendBenchmarkMetrics(&metricRows, phaseRows, phaseLogName)
+				appendBenchmarkStageLog(gpuBurnLog, "bee-gpu-burn", phaseLogName, phaseOut)
+				eccAfter, _ := queryECCCounters(idx)
+				if phaseErr != nil || len(phaseRows) == 0 {
+					continue
+				}
+				phase := BenchmarkPrecisionSteadyPhase{
+					Precision: prec,
+					Steady:    summarizeBenchmarkTelemetry(phaseRows),
+					ECC:       diffECCCounters(eccBefore, eccAfter),
+				}
+				for _, p := range parseBenchmarkBurnLog(string(phaseOut)).Profiles {
+					if p.Supported {
+						phase.TeraOpsPerSec += p.TeraOpsPerSec
+						phase.WeightedTeraOpsPerSec += p.WeightedTeraOpsPerSec
+					}
+				}
+				gpuResult.PrecisionSteady = append(gpuResult.PrecisionSteady, phase)
+			}
+
+			beforeThrottle, _ := queryThrottleCounters(idx)
+			steadyCmd := []string{
 				"bee-gpu-burn",
 				"--seconds", strconv.Itoa(perPhaseSec),
 				"--size-mb", strconv.Itoa(opts.SizeMB),
 				"--devices", strconv.Itoa(idx),
-				"--precision", prec,
 			}
-			logFunc(fmt.Sprintf("GPU %d: %s stability phase (%ds)", idx, prec, perPhaseSec))
+			logFunc(fmt.Sprintf("GPU %d: steady compute (combined, %ds)", idx, perPhaseSec))
-			phaseLogName := fmt.Sprintf("gpu-%d-steady-%s", idx, prec)
-			eccBefore, _ := queryECCCounters(idx)
-			phaseOut, phaseRows, phaseErr := runBenchmarkCommandWithMetrics(ctx, verboseLog, phaseLogName+".log", phaseCmd, nil, []int{idx}, runDir, phaseLogName, logFunc)
-			eccAfter, _ := queryECCCounters(idx)
-			if phaseErr != nil || len(phaseRows) == 0 {
-				continue
-			}
-			phase := BenchmarkPrecisionSteadyPhase{
-				Precision: prec,
-				Steady:    summarizeBenchmarkTelemetry(phaseRows),
-				ECC:       diffECCCounters(eccBefore, eccAfter),
-			}
-			for _, p := range parseBenchmarkBurnLog(string(phaseOut)).Profiles {
-				if p.Supported {
-					phase.TeraOpsPerSec += p.TeraOpsPerSec
-					phase.WeightedTeraOpsPerSec += p.WeightedTeraOpsPerSec
-				}
-			}
-			gpuResult.PrecisionSteady = append(gpuResult.PrecisionSteady, phase)
-		}
 
-		beforeThrottle, _ := queryThrottleCounters(idx)
+			// Sample server power via IPMI in parallel with the steady phase.
-		steadyCmd := []string{
+			// We collect readings every 5s and average them.
-			"bee-gpu-burn",
+			ipmiStopCh := make(chan struct{})
-			"--seconds", strconv.Itoa(perPhaseSec),
+			ipmiResultCh := make(chan float64, 1)
-			"--size-mb", strconv.Itoa(opts.SizeMB),
+			go func() {
-			"--devices", strconv.Itoa(idx),
+				defer close(ipmiResultCh)
-		}
+				var samples []float64
-		logFunc(fmt.Sprintf("GPU %d: steady compute (combined, %ds)", idx, perPhaseSec))
+				ticker := time.NewTicker(5 * time.Second)
-
+				defer ticker.Stop()
-		// Sample server power via IPMI in parallel with the steady phase.
+				// First sample after a short warmup delay.
-		// We collect readings every 5s and average them.
-		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()
-			// First sample after a short warmup delay.
-			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:
+				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, fmt.Sprintf("gpu-%d-steady.log", idx), steadyCmd, nil, []int{idx}, logFunc)
+			appendBenchmarkMetrics(&metricRows, steadyRows, fmt.Sprintf("gpu-%d-steady", idx))
+			appendBenchmarkStageLog(gpuBurnLog, "bee-gpu-burn", fmt.Sprintf("gpu-%d-steady", idx), steadyOut)
+			close(ipmiStopCh)
+			if loadedW, ok := <-ipmiResultCh; ok {
+				serverLoadedWSum += loadedW
+				serverLoadedSamples++
+				serverLoadedOK = true
+				logFunc(fmt.Sprintf("GPU %d: server loaded power (IPMI): %.0f W", idx, loadedW))
+			}
+			afterThrottle, _ := queryThrottleCounters(idx)
+			if steadyErr != nil {
+				gpuResult.Notes = append(gpuResult.Notes, "steady compute failed: "+steadyErr.Error())
 			}
-		}()
 
-		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)
+			parseResult := parseBenchmarkBurnLog(string(steadyOut))
-		close(ipmiStopCh)
+			gpuResult.ComputeCapability = parseResult.ComputeCapability
-		if loadedW, ok := <-ipmiResultCh; ok {
+			gpuResult.Backend = parseResult.Backend
-			serverLoadedWSum += loadedW
+			gpuResult.PrecisionResults = parseResult.Profiles
-			serverLoadedSamples++
+			if parseResult.Fallback {
-			serverLoadedOK = true
+				gpuResult.Notes = append(gpuResult.Notes, "benchmark used driver PTX fallback; tensor throughput score is not comparable")
-			logFunc(fmt.Sprintf("GPU %d: server loaded power (IPMI): %.0f W", idx, loadedW))
+			}
+
+			gpuResult.Steady = summarizeBenchmarkTelemetry(steadyRows)
+			gpuResult.Throttle = diffThrottleCounters(beforeThrottle, afterThrottle)
+			if eccFinal, err := queryECCCounters(idx); err == nil {
+				gpuResult.ECC = diffECCCounters(eccBase, eccFinal)
+			}
+
+			cooldownRows, err := collectBenchmarkSamples(ctx, spec.CooldownSec, []int{idx})
+			if err != nil && err != context.Canceled {
+				gpuResult.Notes = append(gpuResult.Notes, "cooldown sampling failed: "+err.Error())
+			}
+			gpuResult.Cooldown = summarizeBenchmarkTelemetry(cooldownRows)
+			appendBenchmarkMetrics(&metricRows, cooldownRows, fmt.Sprintf("gpu-%d-cooldown", idx))
+
+			gpuResult.Scores = scoreBenchmarkGPUResult(gpuResult)
+			gpuResult.DegradationReasons = detectBenchmarkDegradationReasons(gpuResult, result.Normalization.Status)
+			if steadyErr != nil {
+				gpuResult.Status = classifySATErrorStatus(steadyOut, steadyErr)
+			} else if parseResult.Fallback {
+				gpuResult.Status = "PARTIAL"
+			} else {
+				gpuResult.Status = "OK"
+			}
+
+			result.GPUs = append(result.GPUs, finalizeBenchmarkGPUResult(gpuResult))
 		}
 
-		_ = os.WriteFile(filepath.Join(runDir, fmt.Sprintf("gpu-%d-steady.log", idx)), steadyOut, 0644)
-		afterThrottle, _ := queryThrottleCounters(idx)
-		if steadyErr != nil {
-			gpuResult.Notes = append(gpuResult.Notes, "steady compute failed: "+steadyErr.Error())
-		}
-
-		parseResult := parseBenchmarkBurnLog(string(steadyOut))
-		gpuResult.ComputeCapability = parseResult.ComputeCapability
-		gpuResult.Backend = parseResult.Backend
-		gpuResult.PrecisionResults = parseResult.Profiles
-		if parseResult.Fallback {
-			gpuResult.Notes = append(gpuResult.Notes, "benchmark used driver PTX fallback; tensor throughput score is not comparable")
-		}
-
-		gpuResult.Steady = summarizeBenchmarkTelemetry(steadyRows)
-		gpuResult.Throttle = diffThrottleCounters(beforeThrottle, afterThrottle)
-		if eccFinal, err := queryECCCounters(idx); err == nil {
-			gpuResult.ECC = diffECCCounters(eccBase, eccFinal)
-		}
-
-		cooldownRows, err := collectBenchmarkSamples(ctx, spec.CooldownSec, []int{idx})
-		if err != nil && err != context.Canceled {
-			gpuResult.Notes = append(gpuResult.Notes, "cooldown sampling failed: "+err.Error())
-		}
-		gpuResult.Cooldown = summarizeBenchmarkTelemetry(cooldownRows)
-		writeBenchmarkMetricsFiles(runDir, fmt.Sprintf("gpu-%d-cooldown", idx), cooldownRows)
-
-		gpuResult.Scores = scoreBenchmarkGPUResult(gpuResult)
-		gpuResult.DegradationReasons = detectBenchmarkDegradationReasons(gpuResult, result.Normalization.Status)
-		if steadyErr != nil {
-			gpuResult.Status = classifySATErrorStatus(steadyOut, steadyErr)
-		} else if parseResult.Fallback {
-			gpuResult.Status = "PARTIAL"
-		} else {
-			gpuResult.Status = "OK"
-		}
-
-		result.GPUs = append(result.GPUs, finalizeBenchmarkGPUResult(gpuResult))
-	}
-
 	} // end sequential path
 
 	if len(selected) > 1 && opts.RunNCCL {
@@ -413,6 +418,7 @@ func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts Nv
 
 	result.Findings = buildBenchmarkFindings(result)
 	result.OverallStatus = benchmarkOverallStatus(result)
+	writeBenchmarkMetricsFiles(runDir, metricRows)
 
 	resultJSON, err := json.MarshalIndent(result, "", "  ")
 	if err != nil {
@@ -422,7 +428,7 @@ func (s *System) RunNvidiaBenchmark(ctx context.Context, baseDir string, opts Nv
 		return "", fmt.Errorf("write result.json: %w", err)
 	}
 
-	report := renderBenchmarkReportWithCharts(result, loadBenchmarkReportCharts(runDir, selected))
+	report := renderBenchmarkReportWithCharts(result)
 	if err := os.WriteFile(filepath.Join(runDir, "report.md"), []byte(report), 0644); err != nil {
 		return "", fmt.Errorf("write report.md: %w", err)
 	}
@@ -511,11 +517,11 @@ func enrichGPUInfoWithMaxClocks(infoByIndex map[int]benchmarkGPUInfo, nvsmiQ []b
 
 	// 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`)
+	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`)
+	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`)
+	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`)
+	currentPwrRe := regexp.MustCompile(`(?i)Current Power Limit\s*:\s*([0-9.]+)\s*W`)
-	smCountRe     := regexp.MustCompile(`(?i)Multiprocessor Count\s*:\s*(\d+)`)
+	smCountRe := regexp.MustCompile(`(?i)Multiprocessor Count\s*:\s*(\d+)`)
 
 	sectionStarts := gpuSectionRe.FindAllSubmatchIndex(nvsmiQ, -1)
 	for i, loc := range sectionStarts {
@@ -651,7 +657,6 @@ func queryBenchmarkGPUInfo(gpuIndices []int) (map[int]benchmarkGPUInfo, error) {
 	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"
@@ -754,7 +759,7 @@ func collectBenchmarkSamples(ctx context.Context, durationSec int, gpuIndices []
 	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) {
+func runBenchmarkCommandWithMetrics(ctx context.Context, verboseLog, name string, cmd []string, env []string, gpuIndices []int, logFunc func(string)) ([]byte, []GPUMetricRow, error) {
 	stopCh := make(chan struct{})
 	doneCh := make(chan struct{})
 	var metricRows []GPUMetricRow
@@ -786,18 +791,65 @@ func runBenchmarkCommandWithMetrics(ctx context.Context, verboseLog, name string
 	close(stopCh)
 	<-doneCh
 
-	writeBenchmarkMetricsFiles(runDir, baseName, metricRows)
 	return out, metricRows, err
 }
 
-func writeBenchmarkMetricsFiles(runDir, baseName string, rows []GPUMetricRow) {
+func annotateBenchmarkMetricRows(rows []GPUMetricRow, stage string, offset float64) []GPUMetricRow {
+	if len(rows) == 0 {
+		return nil
+	}
+	out := make([]GPUMetricRow, len(rows))
+	for i, row := range rows {
+		row.Stage = stage
+		row.ElapsedSec += offset
+		out[i] = row
+	}
+	return out
+}
+
+func benchmarkMetricOffset(rows []GPUMetricRow) float64 {
+	if len(rows) == 0 {
+		return 0
+	}
+	var maxElapsed float64
+	for _, row := range rows {
+		if row.ElapsedSec > maxElapsed {
+			maxElapsed = row.ElapsedSec
+		}
+	}
+	return maxElapsed
+}
+
+func appendBenchmarkMetrics(allRows *[]GPUMetricRow, rows []GPUMetricRow, stage string) {
+	annotated := annotateBenchmarkMetricRows(rows, stage, benchmarkMetricOffset(*allRows))
+	*allRows = append(*allRows, annotated...)
+}
+
+func writeBenchmarkMetricsFiles(runDir string, rows []GPUMetricRow) {
 	if len(rows) == 0 {
 		return
 	}
-	_ = WriteGPUMetricsCSV(filepath.Join(runDir, baseName+"-metrics.csv"), rows)
+	_ = WriteGPUMetricsCSV(filepath.Join(runDir, "gpu-metrics.csv"), rows)
-	_ = WriteGPUMetricsHTML(filepath.Join(runDir, baseName+"-metrics.html"), rows)
+	_ = WriteGPUMetricsHTML(filepath.Join(runDir, "gpu-metrics.html"), rows)
-	chart := RenderGPUTerminalChart(rows)
+}
-	_ = os.WriteFile(filepath.Join(runDir, baseName+"-metrics-term.txt"), []byte(chart), 0644)
+
+func appendBenchmarkStageLog(path, source, stage string, raw []byte) {
+	if path == "" || len(raw) == 0 {
+		return
+	}
+	f, err := os.OpenFile(path, os.O_CREATE|os.O_APPEND|os.O_WRONLY, 0644)
+	if err != nil {
+		return
+	}
+	defer f.Close()
+	header := fmt.Sprintf("\n========== %s | stage=%s ==========\n", source, stage)
+	_, _ = f.WriteString(header)
+	if len(raw) > 0 {
+		_, _ = f.Write(raw)
+		if raw[len(raw)-1] != '\n' {
+			_, _ = f.WriteString("\n")
+		}
+	}
 }
 
 func parseBenchmarkBurnLog(raw string) benchmarkBurnParseResult {
@@ -897,11 +949,13 @@ func ensureBenchmarkProfile(profiles map[string]*benchmarkBurnProfile, name stri
 // precisionWeight returns the fp32-equivalence factor for a precision category.
 // Each factor represents how much "real" numeric work one operation of that
 // type performs relative to fp32 (single precision = 1.0 baseline):
-//   fp64  = 2.0  — double precision, 2× more bits per operand
+//
-//   fp32  = 1.0  — single precision baseline
+//	fp64  = 2.0  — double precision, 2× more bits per operand
-//   fp16  = 0.5  — half precision
+//	fp32  = 1.0  — single precision baseline
-//   fp8   = 0.25 — quarter precision
+//	fp16  = 0.5  — half precision
-//   fp4   = 0.125 — eighth precision
+//	fp8   = 0.25 — quarter precision
+//	fp4   = 0.125 — eighth precision
+//
 // Multiplying raw TOPS by the weight gives fp32-equivalent TOPS, enabling
 // cross-precision comparison on the same numeric scale.
 func precisionWeight(category string) float64 {
@@ -1670,6 +1724,8 @@ func runNvidiaBenchmarkParallel(
 	calibPowerByIndex map[int]float64,
 	serverIdleW *float64, serverLoadedWSum *float64,
 	serverIdleOK *bool, serverLoadedOK *bool, serverLoadedSamples *int,
+	allMetricRows *[]GPUMetricRow,
+	gpuBurnLog string,
 ) {
 	allDevices := joinIndexList(selected)
 
@@ -1709,8 +1765,8 @@ func runNvidiaBenchmarkParallel(
 	for _, idx := range selected {
 		perGPU := filterRowsByGPU(baselineRows, idx)
 		gpuResults[idx].Baseline = summarizeBenchmarkTelemetry(perGPU)
-		writeBenchmarkMetricsFiles(runDir, fmt.Sprintf("gpu-%d-baseline", idx), perGPU)
 	}
+	appendBenchmarkMetrics(allMetricRows, baselineRows, "baseline")
 
 	// Sample server idle power once.
 	if !*serverIdleOK {
@@ -1729,11 +1785,9 @@ func runNvidiaBenchmarkParallel(
 		"--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)
+	warmupOut, warmupRows, warmupErr := runBenchmarkCommandWithMetrics(ctx, verboseLog, "gpu-all-warmup.log", warmupCmd, nil, selected, logFunc)
-	_ = os.WriteFile(filepath.Join(runDir, "gpu-all-warmup.log"), warmupOut, 0644)
+	appendBenchmarkMetrics(allMetricRows, warmupRows, "warmup")
-	for _, idx := range selected {
+	appendBenchmarkStageLog(gpuBurnLog, "bee-gpu-burn", "warmup", warmupOut)
-		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())
@@ -1764,7 +1818,9 @@ func runNvidiaBenchmarkParallel(
 		for _, idx := range selected {
 			eccBeforePhase[idx], _ = queryECCCounters(idx)
 		}
-		phaseOut, phaseRows, phaseErr := runBenchmarkCommandWithMetrics(ctx, verboseLog, phaseLogName+".log", phaseCmd, nil, selected, runDir, phaseLogName, logFunc)
+		phaseOut, phaseRows, phaseErr := runBenchmarkCommandWithMetrics(ctx, verboseLog, phaseLogName+".log", phaseCmd, nil, selected, logFunc)
+		appendBenchmarkMetrics(allMetricRows, phaseRows, phaseLogName)
+		appendBenchmarkStageLog(gpuBurnLog, "bee-gpu-burn", phaseLogName, phaseOut)
 		eccAfterPhase := make(map[int]BenchmarkECCCounters, len(selected))
 		for _, idx := range selected {
 			eccAfterPhase[idx], _ = queryECCCounters(idx)
@@ -1842,7 +1898,9 @@ func runNvidiaBenchmarkParallel(
 		}
 	}()
 
-	steadyOut, steadyRows, steadyErr := runBenchmarkCommandWithMetrics(ctx, verboseLog, "gpu-all-steady.log", steadyCmd, nil, selected, runDir, "gpu-all-steady", logFunc)
+	steadyOut, steadyRows, steadyErr := runBenchmarkCommandWithMetrics(ctx, verboseLog, "gpu-all-steady.log", steadyCmd, nil, selected, logFunc)
+	appendBenchmarkMetrics(allMetricRows, steadyRows, "steady")
+	appendBenchmarkStageLog(gpuBurnLog, "bee-gpu-burn", "steady", steadyOut)
 	close(ipmiStopCh)
 	if loadedW, ok := <-ipmiResultCh; ok {
 		*serverLoadedWSum += loadedW
@@ -1850,8 +1908,6 @@ func runNvidiaBenchmarkParallel(
 		*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)
@@ -1861,7 +1917,6 @@ func runNvidiaBenchmarkParallel(
 
 	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 eccFinal, err := queryECCCounters(idx); err == nil {
@@ -1891,8 +1946,8 @@ func runNvidiaBenchmarkParallel(
 	for _, idx := range selected {
 		perGPU := filterRowsByGPU(cooldownRows, idx)
 		gpuResults[idx].Cooldown = summarizeBenchmarkTelemetry(perGPU)
-		writeBenchmarkMetricsFiles(runDir, fmt.Sprintf("gpu-%d-cooldown", idx), perGPU)
 	}
+	appendBenchmarkMetrics(allMetricRows, cooldownRows, "cooldown")
 
 	// Score and finalize each GPU.
 	for _, idx := range selected {
@@ -2102,7 +2157,7 @@ func runBenchmarkPowerCalibration(
 	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)
+	out, rows, err := runBenchmarkCommandWithMetrics(ctx, verboseLog, "power-calibration.log", cmd, nil, gpuIndices, 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))

audit/internal/platform/benchmark_report.go

@@ -2,25 +2,15 @@ package platform
 
 import (
 	"fmt"
-	"os"
-	"path/filepath"
-	"regexp"
 	"strings"
 	"time"
 )
 
 func renderBenchmarkReport(result NvidiaBenchmarkResult) string {
-	return renderBenchmarkReportWithCharts(result, nil)
+	return renderBenchmarkReportWithCharts(result)
 }
 
-type benchmarkReportChart struct {
+func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult) string {
-	Title   string
-	Content string
-}
-
-var ansiEscapePattern = regexp.MustCompile(`\x1b\[[0-9;]*m`)
-
-func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult, charts []benchmarkReportChart) string {
 	var b strings.Builder
 
 	// ── Header ────────────────────────────────────────────────────────────────
@@ -91,8 +81,12 @@ func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult, charts []benc
 		b.WriteString("\n")
 	}
 
-	// ── Scoring methodology ───────────────────────────────────────────────────
+	// ── Methodology ───────────────────────────────────────────────────────────
-	b.WriteString("## Scoring Methodology\n\n")
+	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 comes from `bee-gpu-burn` on the cuBLASLt path when available.\n")
+	b.WriteString("- Thermal and power limits are inferred from NVIDIA clock-event counters plus sustained telemetry.\n")
+	b.WriteString("- `result.json` is the canonical machine-readable source for the run.\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. ")
@@ -213,7 +207,6 @@ func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult, charts []benc
 				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",
@@ -297,61 +290,16 @@ func renderBenchmarkReportWithCharts(result NvidiaBenchmarkResult, charts []benc
 		}
 	}
 
-	// ── 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-metrics.csv`\n- `gpu-metrics.html`\n- `gpu-burn.log`\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.

audit/internal/platform/benchmark_test.go

@@ -147,36 +147,27 @@ func TestRenderBenchmarkReportIncludesFindingsAndScores(t *testing.T) {
 	}
 }
 
-func TestRenderBenchmarkReportIncludesTerminalChartsWithoutANSI(t *testing.T) {
+func TestRenderBenchmarkReportListsUnifiedArtifacts(t *testing.T) {
 	t.Parallel()
 
-	report := renderBenchmarkReportWithCharts(NvidiaBenchmarkResult{
+	report := renderBenchmarkReport(NvidiaBenchmarkResult{
 		BenchmarkProfile:   NvidiaBenchmarkProfileStandard,
 		OverallStatus:      "OK",
 		SelectedGPUIndices: []int{0},
 		Normalization: BenchmarkNormalization{
 			Status: "full",
 		},
-	}, []benchmarkReportChart{
-		{
-			Title:   "GPU 0 Steady State",
-			Content: "\x1b[31mGPU 0 chart\x1b[0m\n 42┤───",
-		},
 	})
 
 	for _, needle := range []string{
-		"Steady-State Charts",
+		"gpu-metrics.csv",
-		"GPU 0 Steady State",
+		"gpu-metrics.html",
-		"GPU 0 chart",
+		"gpu-burn.log",
-		"42┤───",
 	} {
 		if !strings.Contains(report, needle) {
 			t.Fatalf("report missing %q\n%s", needle, report)
 		}
 	}
-	if strings.Contains(report, "\x1b[31m") {
-		t.Fatalf("report should not contain ANSI escapes\n%s", report)
-	}
 }
 
 func TestEnrichGPUInfoWithMaxClocks(t *testing.T) {

audit/internal/platform/benchmark_types.go

@@ -43,7 +43,6 @@ type NvidiaBenchmarkOptions struct {
 	RampRunID         string // shared identifier across all steps of the same ramp-up run
 }
 
-
 type NvidiaBenchmarkResult struct {
 	BenchmarkVersion   string                       `json:"benchmark_version"`
 	GeneratedAt        time.Time                    `json:"generated_at"`
@@ -84,38 +83,38 @@ type BenchmarkNormalizationGPU struct {
 }
 
 type BenchmarkGPUResult struct {
-	Index                  int                        `json:"index"`
+	Index               int     `json:"index"`
-	UUID                   string                     `json:"uuid,omitempty"`
+	UUID                string  `json:"uuid,omitempty"`
-	Name                   string                     `json:"name,omitempty"`
+	Name                string  `json:"name,omitempty"`
-	BusID                  string                     `json:"bus_id,omitempty"`
+	BusID               string  `json:"bus_id,omitempty"`
-	VBIOS                  string                     `json:"vbios,omitempty"`
+	VBIOS               string  `json:"vbios,omitempty"`
-	ComputeCapability      string                     `json:"compute_capability,omitempty"`
+	ComputeCapability   string  `json:"compute_capability,omitempty"`
-	Backend                string                     `json:"backend,omitempty"`
+	Backend             string  `json:"backend,omitempty"`
-	Status                 string                     `json:"status"`
+	Status              string  `json:"status"`
-	PowerLimitW            float64                    `json:"power_limit_w,omitempty"`
+	PowerLimitW         float64 `json:"power_limit_w,omitempty"`
-	MultiprocessorCount    int                        `json:"multiprocessor_count,omitempty"`
+	MultiprocessorCount int     `json:"multiprocessor_count,omitempty"`
-	DefaultPowerLimitW     float64                    `json:"default_power_limit_w,omitempty"`
+	DefaultPowerLimitW  float64 `json:"default_power_limit_w,omitempty"`
 	// CalibratedPeakPowerW is the p95 power measured during a short
 	// dcgmi targeted_power calibration run before the main benchmark.
 	// Used as the reference denominator for PowerSustainScore instead of
 	// the hardware default limit, which bee-gpu-burn cannot reach.
-	CalibratedPeakPowerW   float64                    `json:"calibrated_peak_power_w,omitempty"`
+	CalibratedPeakPowerW   float64                         `json:"calibrated_peak_power_w,omitempty"`
-	MaxGraphicsClockMHz    float64                    `json:"max_graphics_clock_mhz,omitempty"`
+	MaxGraphicsClockMHz    float64                         `json:"max_graphics_clock_mhz,omitempty"`
-	BaseGraphicsClockMHz   float64                    `json:"base_graphics_clock_mhz,omitempty"`
+	BaseGraphicsClockMHz   float64                         `json:"base_graphics_clock_mhz,omitempty"`
-	MaxMemoryClockMHz      float64                    `json:"max_memory_clock_mhz,omitempty"`
+	MaxMemoryClockMHz      float64                         `json:"max_memory_clock_mhz,omitempty"`
-	LockedGraphicsClockMHz float64                    `json:"locked_graphics_clock_mhz,omitempty"`
+	LockedGraphicsClockMHz float64                         `json:"locked_graphics_clock_mhz,omitempty"`
-	LockedMemoryClockMHz   float64                    `json:"locked_memory_clock_mhz,omitempty"`
+	LockedMemoryClockMHz   float64                         `json:"locked_memory_clock_mhz,omitempty"`
 	Baseline               BenchmarkTelemetrySummary       `json:"baseline"`
 	Steady                 BenchmarkTelemetrySummary       `json:"steady"`
 	PrecisionSteady        []BenchmarkPrecisionSteadyPhase `json:"precision_steady,omitempty"`
 	Cooldown               BenchmarkTelemetrySummary       `json:"cooldown"`
 	Throttle               BenchmarkThrottleCounters       `json:"throttle_counters"`
 	// ECC error delta accumulated over the full benchmark (all phases combined).
-	ECC                    BenchmarkECCCounters            `json:"ecc,omitempty"`
+	ECC                BenchmarkECCCounters       `json:"ecc,omitempty"`
-	PrecisionResults       []BenchmarkPrecisionResult      `json:"precision_results,omitempty"`
+	PrecisionResults   []BenchmarkPrecisionResult `json:"precision_results,omitempty"`
-	Scores                 BenchmarkScorecard         `json:"scores"`
+	Scores             BenchmarkScorecard         `json:"scores"`
-	DegradationReasons     []string                   `json:"degradation_reasons,omitempty"`
+	DegradationReasons []string                   `json:"degradation_reasons,omitempty"`
-	Notes                  []string                   `json:"notes,omitempty"`
+	Notes              []string                   `json:"notes,omitempty"`
 }
 
 type BenchmarkTelemetrySummary struct {
@@ -170,19 +169,19 @@ type BenchmarkPrecisionResult struct {
 	// Weight is the fp32-equivalence factor for this precision category.
 	// fp32 = 1.0 (baseline), fp64 = 2.0, fp16 = 0.5, fp8 = 0.25, fp4 = 0.125.
 	// WeightedTOPS = TeraOpsPerSec * Weight gives fp32-equivalent throughput.
-	Weight              float64 `json:"weight,omitempty"`
+	Weight                float64 `json:"weight,omitempty"`
 	WeightedTeraOpsPerSec float64 `json:"weighted_teraops_per_sec,omitempty"`
-	Notes         string  `json:"notes,omitempty"`
+	Notes                 string  `json:"notes,omitempty"`
 }
 
 type BenchmarkScorecard struct {
-	ComputeScore        float64 `json:"compute_score"`
+	ComputeScore float64 `json:"compute_score"`
 	// SyntheticScore is the sum of fp32-equivalent TOPS from per-precision
 	// steady phases (each precision ran alone, full GPU dedicated).
-	SyntheticScore      float64 `json:"synthetic_score,omitempty"`
+	SyntheticScore float64 `json:"synthetic_score,omitempty"`
 	// MixedScore is the sum of fp32-equivalent TOPS from the combined phase
 	// (all precisions competing simultaneously — closer to real workloads).
-	MixedScore          float64 `json:"mixed_score,omitempty"`
+	MixedScore float64 `json:"mixed_score,omitempty"`
 	// MixedEfficiency = MixedScore / SyntheticScore. Measures how well the GPU
 	// sustains throughput under concurrent mixed-precision load.
 	MixedEfficiency     float64 `json:"mixed_efficiency,omitempty"`
@@ -220,7 +219,7 @@ type BenchmarkPrecisionSteadyPhase struct {
 	// ECC errors accumulated during this precision phase only.
 	// Non-zero corrected = stress-induced DRAM errors for this kernel type.
 	// Any uncorrected = serious fault triggered by this precision workload.
-	ECC                   BenchmarkECCCounters      `json:"ecc,omitempty"`
+	ECC BenchmarkECCCounters `json:"ecc,omitempty"`
 }
 
 type BenchmarkInterconnectResult struct {

audit/internal/platform/gpu_metrics.go

@@ -13,6 +13,7 @@ import (
 
 // GPUMetricRow is one telemetry sample from nvidia-smi during a stress test.
 type GPUMetricRow struct {
+	Stage       string  `json:"stage,omitempty"`
 	ElapsedSec  float64 `json:"elapsed_sec"`
 	GPUIndex    int     `json:"index"`
 	TempC       float64 `json:"temp_c"`
@@ -141,14 +142,20 @@ func sampleAMDGPUMetrics() ([]GPUMetricRow, error) {
 // WriteGPUMetricsCSV writes collected rows as a CSV file.
 func WriteGPUMetricsCSV(path string, rows []GPUMetricRow) error {
 	var b bytes.Buffer
-	b.WriteString("elapsed_sec,gpu_index,temperature_c,usage_pct,mem_usage_pct,power_w,clock_mhz,mem_clock_mhz\n")
+	b.WriteString("stage,elapsed_sec,gpu_index,temperature_c,usage_pct,mem_usage_pct,power_w,clock_mhz,mem_clock_mhz\n")
 	for _, r := range rows {
-		fmt.Fprintf(&b, "%.1f,%d,%.1f,%.1f,%.1f,%.1f,%.0f,%.0f\n",
+		fmt.Fprintf(&b, "%s,%.1f,%d,%.1f,%.1f,%.1f,%.1f,%.0f,%.0f\n",
-			r.ElapsedSec, r.GPUIndex, r.TempC, r.UsagePct, r.MemUsagePct, r.PowerW, r.ClockMHz, r.MemClockMHz)
+			strconv.Quote(strings.TrimSpace(r.Stage)), r.ElapsedSec, r.GPUIndex, r.TempC, r.UsagePct, r.MemUsagePct, r.PowerW, r.ClockMHz, r.MemClockMHz)
 	}
 	return os.WriteFile(path, b.Bytes(), 0644)
 }
 
+type gpuMetricStageSpan struct {
+	Name  string
+	Start float64
+	End   float64
+}
+
 // WriteGPUMetricsHTML writes a standalone HTML file with one SVG chart per GPU.
 func WriteGPUMetricsHTML(path string, rows []GPUMetricRow) error {
 	// Group by GPU index preserving order.
@@ -163,9 +170,25 @@ func WriteGPUMetricsHTML(path string, rows []GPUMetricRow) error {
 		gpuMap[r.GPUIndex] = append(gpuMap[r.GPUIndex], r)
 	}
 
+	stageSpans := buildGPUMetricStageSpans(rows)
+	stageColorByName := make(map[string]string, len(stageSpans))
+	for i, span := range stageSpans {
+		stageColorByName[span.Name] = gpuMetricStagePalette[i%len(gpuMetricStagePalette)]
+	}
+
+	var legend strings.Builder
+	if len(stageSpans) > 0 {
+		legend.WriteString(`<div class="stage-legend">`)
+		for _, span := range stageSpans {
+			fmt.Fprintf(&legend, `<span class="stage-chip"><span class="stage-swatch" style="background:%s"></span>%s</span>`,
+				stageColorByName[span.Name], gpuHTMLEscape(span.Name))
+		}
+		legend.WriteString(`</div>`)
+	}
+
 	var svgs strings.Builder
 	for _, gpuIdx := range order {
-		svgs.WriteString(drawGPUChartSVG(gpuMap[gpuIdx], gpuIdx))
+		svgs.WriteString(drawGPUChartSVG(gpuMap[gpuIdx], gpuIdx, stageSpans, stageColorByName))
 		svgs.WriteString("\n")
 	}
 
@@ -175,21 +198,39 @@ func WriteGPUMetricsHTML(path string, rows []GPUMetricRow) error {
 <meta charset="utf-8">
 <title>GPU Stress Test Metrics</title>
 <style>
-body { font-family: sans-serif; background: #f0f0f0; margin: 0; padding: 20px; }
+:root{--bg:#fff;--surface:#fff;--surface-2:#f9fafb;--border:rgba(34,36,38,.15);--border-lite:rgba(34,36,38,.1);--ink:rgba(0,0,0,.87);--muted:rgba(0,0,0,.6)}
-h1 { text-align: center; color: #333; margin: 0 0 8px; }
+*{box-sizing:border-box}
-p  { text-align: center; color: #888; font-size: 13px; margin: 0 0 24px; }
+body{font:14px/1.5 Lato,"Helvetica Neue",Arial,Helvetica,sans-serif;background:var(--bg);color:var(--ink);margin:0}
+.page{padding:24px}
+.card{background:var(--surface);border:1px solid var(--border);border-radius:4px;box-shadow:0 1px 2px rgba(34,36,38,.15);overflow:hidden}
+.card-head{padding:11px 16px;background:var(--surface-2);border-bottom:1px solid var(--border);font-weight:700;font-size:13px}
+.card-body{padding:16px}
+h1{font-size:22px;margin:0 0 6px}
+p{color:var(--muted);font-size:13px;margin:0 0 16px}
+.stage-legend{display:flex;flex-wrap:wrap;gap:10px;margin:0 0 16px}
+.stage-chip{display:inline-flex;align-items:center;gap:8px;padding:4px 10px;border-radius:999px;background:var(--surface-2);border:1px solid var(--border-lite);font-size:12px}
+.stage-swatch{display:inline-block;width:12px;height:12px;border-radius:999px}
+.chart-block{margin-top:16px}
 </style>
 </head><body>
+<div class="page">
+<div class="card">
+<div class="card-head">GPU Stress Test Metrics</div>
+<div class="card-body">
 <h1>GPU Stress Test Metrics</h1>
 <p>Generated %s</p>
 %s
-</body></html>`, ts, svgs.String())
+<div class="chart-block">%s</div>
+</div>
+</div>
+</div>
+</body></html>`, ts, legend.String(), svgs.String())
 
 	return os.WriteFile(path, []byte(html), 0644)
 }
 
 // drawGPUChartSVG generates a self-contained SVG chart for one GPU.
-func drawGPUChartSVG(rows []GPUMetricRow, gpuIdx int) string {
+func drawGPUChartSVG(rows []GPUMetricRow, gpuIdx int, stageSpans []gpuMetricStageSpan, stageColorByName map[string]string) string {
 	// Layout
 	const W, H = 960, 520
 	const plotX1 = 120 // usage axis / chart left border
@@ -284,6 +325,23 @@ func drawGPUChartSVG(rows []GPUMetricRow, gpuIdx int) string {
 	}
 	b.WriteString("</g>\n")
 
+	// Stage backgrounds
+	for _, span := range stageSpans {
+		x1 := xv(span.Start)
+		x2 := xv(span.End)
+		if x2 < x1 {
+			x1, x2 = x2, x1
+		}
+		if x2-x1 < 1 {
+			x2 = x1 + 1
+		}
+		color := stageColorByName[span.Name]
+		fmt.Fprintf(&b, `<rect x="%.1f" y="%d" width="%.1f" height="%d" fill="%s" fill-opacity="0.18"/>`+"\n",
+			x1, plotY1, x2-x1, PH, color)
+		fmt.Fprintf(&b, `<text x="%.1f" y="%d" font-family="sans-serif" font-size="10" fill="#444" text-anchor="middle">%s</text>`+"\n",
+			x1+(x2-x1)/2, plotY1+12, gpuHTMLEscape(span.Name))
+	}
+
 	// Chart border
 	fmt.Fprintf(&b, `<rect x="%d" y="%d" width="%d" height="%d"`+
 		` fill="none" stroke="#333" stroke-width="1"/>`+"\n",
@@ -382,221 +440,6 @@ func drawGPUChartSVG(rows []GPUMetricRow, gpuIdx int) string {
 	return b.String()
 }
 
-const (
-	ansiAmber  = "\033[38;5;214m"
-	ansiReset  = "\033[0m"
-)
-
-const (
-	termChartWidth  = 70
-	termChartHeight = 12
-)
-
-// RenderGPUTerminalChart returns ANSI line charts (asciigraph-style) per GPU.
-// Used in SAT stress-test logs.
-func RenderGPUTerminalChart(rows []GPUMetricRow) string {
-	seen := make(map[int]bool)
-	var order []int
-	gpuMap := make(map[int][]GPUMetricRow)
-	for _, r := range rows {
-		if !seen[r.GPUIndex] {
-			seen[r.GPUIndex] = true
-			order = append(order, r.GPUIndex)
-		}
-		gpuMap[r.GPUIndex] = append(gpuMap[r.GPUIndex], r)
-	}
-
-	type seriesDef struct {
-		caption string
-		color   string
-		fn      func(GPUMetricRow) float64
-	}
-	defs := []seriesDef{
-		{"Temperature (°C)", ansiAmber, func(r GPUMetricRow) float64 { return r.TempC }},
-		{"GPU Usage (%)", ansiAmber, func(r GPUMetricRow) float64 { return r.UsagePct }},
-		{"Power (W)", ansiAmber, func(r GPUMetricRow) float64 { return r.PowerW }},
-		{"Clock (MHz)", ansiAmber, func(r GPUMetricRow) float64 { return r.ClockMHz }},
-	}
-
-	var b strings.Builder
-	for _, gpuIdx := range order {
-		gr := gpuMap[gpuIdx]
-		if len(gr) == 0 {
-			continue
-		}
-		tMax := gr[len(gr)-1].ElapsedSec - gr[0].ElapsedSec
-		fmt.Fprintf(&b, "GPU %d — Stress Test Metrics  (%.0f seconds)\n\n", gpuIdx, tMax)
-		for _, d := range defs {
-			b.WriteString(renderLineChart(extractGPUField(gr, d.fn), d.color, d.caption,
-				termChartHeight, termChartWidth))
-			b.WriteRune('\n')
-		}
-	}
-
-	return strings.TrimRight(b.String(), "\n")
-}
-
-// renderLineChart draws a single time-series line chart using box-drawing characters.
-// Produces output in the style of asciigraph: ╭─╮ │ ╰─╯ with a Y axis and caption.
-func renderLineChart(vals []float64, color, caption string, height, width int) string {
-	if len(vals) == 0 {
-		return caption + "\n"
-	}
-
-	mn, mx := gpuMinMax(vals)
-	if mn == mx {
-		mx = mn + 1
-	}
-
-	// Use the smaller of width or len(vals) to avoid stretching sparse data.
-	w := width
-	if len(vals) < w {
-		w = len(vals)
-	}
-	data := gpuDownsample(vals, w)
-
-	// row[i] = display row index: 0 = top = max value, height = bottom = min value.
-	row := make([]int, w)
-	for i, v := range data {
-		r := int(math.Round((mx - v) / (mx - mn) * float64(height)))
-		if r < 0 {
-			r = 0
-		}
-		if r > height {
-			r = height
-		}
-		row[i] = r
-	}
-
-	// Fill the character grid.
-	grid := make([][]rune, height+1)
-	for i := range grid {
-		grid[i] = make([]rune, w)
-		for j := range grid[i] {
-			grid[i][j] = ' '
-		}
-	}
-	for x := 0; x < w; x++ {
-		r := row[x]
-		if x == 0 {
-			grid[r][0] = '─'
-			continue
-		}
-		p := row[x-1]
-		switch {
-		case r == p:
-			grid[r][x] = '─'
-		case r < p: // value went up (row index decreased toward top)
-			grid[r][x] = '╭'
-			grid[p][x] = '╯'
-			for y := r + 1; y < p; y++ {
-				grid[y][x] = '│'
-			}
-		default: // r > p, value went down
-			grid[p][x] = '╮'
-			grid[r][x] = '╰'
-			for y := p + 1; y < r; y++ {
-				grid[y][x] = '│'
-			}
-		}
-	}
-
-	// Y axis tick labels.
-	ticks := gpuNiceTicks(mn, mx, height/2)
-	tickAtRow := make(map[int]string)
-	labelWidth := 4
-	for _, t := range ticks {
-		r := int(math.Round((mx - t) / (mx - mn) * float64(height)))
-		if r < 0 || r > height {
-			continue
-		}
-		s := gpuFormatTick(t)
-		tickAtRow[r] = s
-		if len(s) > labelWidth {
-			labelWidth = len(s)
-		}
-	}
-
-	var b strings.Builder
-	for r := 0; r <= height; r++ {
-		label := tickAtRow[r]
-		fmt.Fprintf(&b, "%*s", labelWidth, label)
-		switch {
-		case label != "":
-			b.WriteRune('┤')
-		case r == height:
-			b.WriteRune('┼')
-		default:
-			b.WriteRune('│')
-		}
-		b.WriteString(color)
-		b.WriteString(string(grid[r]))
-		b.WriteString(ansiReset)
-		b.WriteRune('\n')
-	}
-
-	// Bottom axis.
-	b.WriteString(strings.Repeat(" ", labelWidth))
-	b.WriteRune('└')
-	b.WriteString(strings.Repeat("─", w))
-	b.WriteRune('\n')
-
-	// Caption centered under the chart.
-	if caption != "" {
-		total := labelWidth + 1 + w
-		if pad := (total - len(caption)) / 2; pad > 0 {
-			b.WriteString(strings.Repeat(" ", pad))
-		}
-		b.WriteString(caption)
-		b.WriteRune('\n')
-	}
-
-	return b.String()
-}
-
-func extractGPUField(rows []GPUMetricRow, fn func(GPUMetricRow) float64) []float64 {
-	v := make([]float64, len(rows))
-	for i, r := range rows {
-		v[i] = fn(r)
-	}
-	return v
-}
-
-// gpuDownsample averages vals into w buckets (or nearest-neighbor upsamples if len(vals) < w).
-func gpuDownsample(vals []float64, w int) []float64 {
-	n := len(vals)
-	if n == 0 {
-		return make([]float64, w)
-	}
-	result := make([]float64, w)
-	if n >= w {
-		counts := make([]int, w)
-		for i, v := range vals {
-			bucket := i * w / n
-			if bucket >= w {
-				bucket = w - 1
-			}
-			result[bucket] += v
-			counts[bucket]++
-		}
-		for i := range result {
-			if counts[i] > 0 {
-				result[i] /= float64(counts[i])
-			}
-		}
-	} else {
-		// Nearest-neighbour upsample.
-		for i := range result {
-			src := i * (n - 1) / (w - 1)
-			if src >= n {
-				src = n - 1
-			}
-			result[i] = vals[src]
-		}
-	}
-	return result
-}
-
 func gpuMinMax(vals []float64) (float64, float64) {
 	if len(vals) == 0 {
 		return 0, 1
@@ -641,3 +484,46 @@ func gpuFormatTick(v float64) string {
 	}
 	return strconv.FormatFloat(v, 'f', 1, 64)
 }
+
+var gpuMetricStagePalette = []string{
+	"#d95c5c",
+	"#2185d0",
+	"#21ba45",
+	"#f2c037",
+	"#6435c9",
+	"#00b5ad",
+	"#a5673f",
+}
+
+func buildGPUMetricStageSpans(rows []GPUMetricRow) []gpuMetricStageSpan {
+	var spans []gpuMetricStageSpan
+	for _, row := range rows {
+		name := strings.TrimSpace(row.Stage)
+		if name == "" {
+			name = "run"
+		}
+		if len(spans) == 0 || spans[len(spans)-1].Name != name {
+			spans = append(spans, gpuMetricStageSpan{Name: name, Start: row.ElapsedSec, End: row.ElapsedSec})
+			continue
+		}
+		spans[len(spans)-1].End = row.ElapsedSec
+	}
+	for i := range spans {
+		if spans[i].End <= spans[i].Start {
+			spans[i].End = spans[i].Start + 1
+		}
+	}
+	return spans
+}
+
+var gpuHTMLReplacer = strings.NewReplacer(
+	"&", "&amp;",
+	"<", "&lt;",
+	">", "&gt;",
+	`"`, "&quot;",
+	"'", "&#39;",
+)
+
+func gpuHTMLEscape(s string) string {
+	return gpuHTMLReplacer.Replace(s)
+}

audit/internal/platform/gpu_metrics_test.go

@@ -0,0 +1,65 @@
+package platform
+
+import (
+	"os"
+	"path/filepath"
+	"strings"
+	"testing"
+)
+
+func TestWriteGPUMetricsCSVIncludesStageColumn(t *testing.T) {
+	t.Parallel()
+
+	dir := t.TempDir()
+	path := filepath.Join(dir, "gpu-metrics.csv")
+	rows := []GPUMetricRow{
+		{Stage: "warmup", ElapsedSec: 1, GPUIndex: 0, TempC: 71, UsagePct: 99, MemUsagePct: 80, PowerW: 420, ClockMHz: 1800, MemClockMHz: 1200},
+	}
+	if err := WriteGPUMetricsCSV(path, rows); err != nil {
+		t.Fatalf("WriteGPUMetricsCSV: %v", err)
+	}
+	raw, err := os.ReadFile(path)
+	if err != nil {
+		t.Fatalf("ReadFile: %v", err)
+	}
+	text := string(raw)
+	for _, needle := range []string{
+		"stage,elapsed_sec,gpu_index",
+		`"warmup",1.0,0,71.0,99.0,80.0,420.0,1800,1200`,
+	} {
+		if !strings.Contains(text, needle) {
+			t.Fatalf("csv missing %q\n%s", needle, text)
+		}
+	}
+}
+
+func TestWriteGPUMetricsHTMLShowsStageLegendAndLabels(t *testing.T) {
+	t.Parallel()
+
+	dir := t.TempDir()
+	path := filepath.Join(dir, "gpu-metrics.html")
+	rows := []GPUMetricRow{
+		{Stage: "baseline", ElapsedSec: 1, GPUIndex: 0, TempC: 50, UsagePct: 10, MemUsagePct: 5, PowerW: 100, ClockMHz: 500, MemClockMHz: 400},
+		{Stage: "baseline", ElapsedSec: 2, GPUIndex: 0, TempC: 51, UsagePct: 11, MemUsagePct: 5, PowerW: 101, ClockMHz: 510, MemClockMHz: 400},
+		{Stage: "steady-fp16", ElapsedSec: 3, GPUIndex: 0, TempC: 70, UsagePct: 98, MemUsagePct: 75, PowerW: 390, ClockMHz: 1700, MemClockMHz: 1100},
+		{Stage: "steady-fp16", ElapsedSec: 4, GPUIndex: 0, TempC: 71, UsagePct: 99, MemUsagePct: 76, PowerW: 395, ClockMHz: 1710, MemClockMHz: 1110},
+	}
+	if err := WriteGPUMetricsHTML(path, rows); err != nil {
+		t.Fatalf("WriteGPUMetricsHTML: %v", err)
+	}
+	raw, err := os.ReadFile(path)
+	if err != nil {
+		t.Fatalf("ReadFile: %v", err)
+	}
+	text := string(raw)
+	for _, needle := range []string{
+		"stage-legend",
+		"baseline",
+		"steady-fp16",
+		"GPU Stress Test Metrics",
+	} {
+		if !strings.Contains(text, needle) {
+			t.Fatalf("html missing %q\n%s", needle, text)
+		}
+	}
+}

audit/internal/platform/sat.go

@@ -108,15 +108,15 @@ type nvidiaGPUHealth struct {
 }
 
 type nvidiaGPUStatusFile struct {
-	Index       int
+	Index      int
-	Name        string
+	Name       string
-	RunStatus   string
+	RunStatus  string
-	Reason      string
+	Reason     string
-	Health      string
+	Health     string
-	HealthRaw   string
+	HealthRaw  string
-	Observed    bool
+	Observed   bool
-	Selected    bool
+	Selected   bool
-	FailingJob  string
+	FailingJob string
 }
 
 // AMDGPUInfo holds basic info about an AMD GPU from rocm-smi.
@@ -410,13 +410,13 @@ func (s *System) RunNvidiaOfficialComputePack(ctx context.Context, baseDir strin
 	return runAcceptancePackCtx(ctx, baseDir, "gpu-nvidia-compute", withNvidiaPersistenceMode(
 		satJob{name: "01-nvidia-smi-q.log", cmd: []string{"nvidia-smi", "-q"}},
 		satJob{name: "02-dcgmi-version.log", cmd: []string{"dcgmi", "-v"}},
-			satJob{
+		satJob{
-				name:       "03-dcgmproftester.log",
+			name:       "03-dcgmproftester.log",
-				cmd:        profCmd,
+			cmd:        profCmd,
-				env:        profEnv,
+			env:        profEnv,
-				collectGPU: true,
+			collectGPU: true,
-				gpuIndices: selected,
+			gpuIndices: selected,
-			},
+		},
 		satJob{name: "04-nvidia-smi-after.log", cmd: []string{"nvidia-smi", "--query-gpu=index,name,temperature.gpu,power.draw,utilization.gpu,memory.used,memory.total", "--format=csv,noheader,nounits"}},
 	), logFunc)
 }
@@ -1382,8 +1382,6 @@ func runSATCommandWithMetrics(ctx context.Context, verboseLog, name string, cmd
 	if len(metricRows) > 0 {
 		_ = WriteGPUMetricsCSV(filepath.Join(runDir, "gpu-metrics.csv"), metricRows)
 		_ = WriteGPUMetricsHTML(filepath.Join(runDir, "gpu-metrics.html"), metricRows)
-		chart := RenderGPUTerminalChart(metricRows)
-		_ = os.WriteFile(filepath.Join(runDir, "gpu-metrics-term.txt"), []byte(chart), 0644)
 	}
 
 	return out, err

iso/builder/bee-gpu-stress.c

@@ -33,7 +33,6 @@ typedef void *CUstream;
 #define CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR 75
 #define CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR 76
 #define MAX_STRESS_STREAMS 16
-#define MAX_CUBLAS_PROFILES 5
 #define MIN_PROFILE_BUDGET_BYTES ((size_t)4u * 1024u * 1024u)
 #define MIN_STREAM_BUDGET_BYTES ((size_t)64u * 1024u * 1024u)
 
@@ -689,6 +688,8 @@ static const struct profile_desc k_profiles[] = {
 #endif
 };
 
+#define PROFILE_COUNT ((int)(sizeof(k_profiles) / sizeof(k_profiles[0])))
+
 static int load_cublaslt(struct cublaslt_api *api) {
     memset(api, 0, sizeof(*api));
     api->lib = dlopen("libcublasLt.so.13", RTLD_NOW | RTLD_LOCAL);
@@ -1124,7 +1125,7 @@ static int run_cublaslt_stress(struct cuda_api *cuda,
                                const char *precision_filter,
                                struct stress_report *report) {
     struct cublaslt_api cublas;
-    struct prepared_profile prepared[MAX_STRESS_STREAMS * MAX_CUBLAS_PROFILES];
+    struct prepared_profile prepared[MAX_STRESS_STREAMS * PROFILE_COUNT];
     cublasLtHandle_t handle = NULL;
     CUcontext ctx = NULL;
     CUstream streams[MAX_STRESS_STREAMS] = {0};
@@ -1134,7 +1135,7 @@ static int run_cublaslt_stress(struct cuda_api *cuda,
     int active = 0;
     int mp_count = 0;
     int stream_count = 1;
-    int profile_count = (int)(sizeof(k_profiles) / sizeof(k_profiles[0]));
+    int profile_count = PROFILE_COUNT;
     int prepared_count = 0;
     size_t requested_budget = 0;
     size_t total_budget = 0;

iso/builder/build.sh

@@ -874,8 +874,20 @@ if [ "$BEE_GPU_VENDOR" = "nvidia" ]; then
     CUBLAS_CACHE="${DIST_DIR}/cublas-${CUBLAS_VERSION}+cuda${NCCL_CUDA_VERSION}"
 
     GPU_STRESS_NEED_BUILD=1
-    if [ -f "$GPU_BURN_WORKER_BIN" ] && [ "${BUILDER_DIR}/bee-gpu-stress.c" -ot "$GPU_BURN_WORKER_BIN" ]; then
+    if [ -f "$GPU_BURN_WORKER_BIN" ]; then
         GPU_STRESS_NEED_BUILD=0
+        for dep in \
+            "${BUILDER_DIR}/bee-gpu-stress.c" \
+            "${BUILDER_DIR}/VERSIONS"; do
+            if [ "$dep" -nt "$GPU_BURN_WORKER_BIN" ]; then
+                GPU_STRESS_NEED_BUILD=1
+                break
+            fi
+        done
+        if [ "$GPU_STRESS_NEED_BUILD" = "0" ] && \
+            find "${CUBLAS_CACHE}/include" "${CUBLAS_CACHE}/lib" -type f -newer "$GPU_BURN_WORKER_BIN" | grep -q .; then
+            GPU_STRESS_NEED_BUILD=1
+        fi
     fi
 
     if [ "$GPU_STRESS_NEED_BUILD" = "1" ]; then