Add per-precision benchmark phases, weighted TOPS scoring, and ECC tracking
- Split steady window into 6 equal slots: fp8/fp16/fp32/fp64/fp4 + combined - Each precision phase runs bee-gpu-burn with --precision filter so PowerCVPct reflects single-kernel stability (not round-robin artifact) - Add fp4 support in bee-gpu-stress.c for Blackwell (cc>=100) via existing CUDA_R_4F_E2M1 guard - Weighted TOPS: fp64×2.0, fp32×1.0, fp16×0.5, fp8×0.25, fp4×0.125 - SyntheticScore = sum of weighted TOPS from per-precision phases - MixedScore = sum from combined phase; MixedEfficiency = Mixed/Synthetic - ComputeScore = SyntheticScore × (1 + MixedEfficiency × 0.3) - ECC volatile counters sampled before/after each phase and overall - DegradationReasons: ecc_uncorrected_errors, ecc_corrected_errors - Report: per-precision stability table with ECC columns, methodology section - Ramp-up history table redesign: GPU indices as columns, runs as rows Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -497,6 +497,7 @@ func (h *handler) handleAPISATRun(target string) http.HandlerFunc {
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GPUIndices []int `json:"gpu_indices"`
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ExcludeGPUIndices []int `json:"exclude_gpu_indices"`
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StaggerGPUStart bool `json:"stagger_gpu_start"`
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ParallelGPUs bool `json:"parallel_gpus"`
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Loader string `json:"loader"`
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Profile string `json:"profile"`
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DisplayName string `json:"display_name"`
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@@ -519,6 +520,7 @@ func (h *handler) handleAPISATRun(target string) http.HandlerFunc {
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GPUIndices: body.GPUIndices,
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ExcludeGPUIndices: body.ExcludeGPUIndices,
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StaggerGPUStart: body.StaggerGPUStart,
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ParallelGPUs: body.ParallelGPUs,
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Loader: body.Loader,
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BurnProfile: body.Profile,
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DisplayName: body.DisplayName,
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