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Improve benchmark lifecycle, accuracy gates and B200 profiling
- #27
#27
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cfregly
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cfregly/ai-performance-engineering:main
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codex/b200-followthrough-20260908
cfregly/ai-performance-engineering:codex/b200-followthrough-20260908
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Sep 8, 2026
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Improve benchmark lifecycle, accuracy gates and B200 profiling
#27
cfregly
merged 19 commits into
main
cfregly/ai-performance-engineering:main
from
codex/b200-followthrough-20260908
cfregly/ai-performance-engineering:codex/b200-followthrough-20260908
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Commits on Sep 8, 2026
perf: defer DDP progress readback until training completes
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feat: add explicit execution placement and destination write audits
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fix: freeze independent KV and Ozaki arithmetic requirements
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fix: keep minimal Nsight captures to the requested five metrics
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perf: reuse serving engines and remove redundant 1P1D barriers
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perf: amortize fixed-weight pipeline fill and drain across repeats
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feat: expose matched TE precision batch sizes for throughput sweeps
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fix: apply serving profile arguments and close reused engines
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fix: honor explicit Nsight Systems warmup and capture counts
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fix: expose the declared Ozaki comparison budget on its reference
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fix: reject empty execution audits and preserve qualification scope
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docs: explain matched batch controls and explicit execution audits
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docs: clarify profile loop budgets and Ozaki comparison envelope
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fix: derive KV pairwise tolerance from the independent reference budgets
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docs: record B200 follow-through gains, accuracy gates and profiler limits
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ci: leave enough time for complete CPU validation on hosted runners
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test: preserve profiler range checks for contiguous pipeline schedules
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Use portable paths in validation documentation
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Refresh FP8 documentation regression after measured sweep
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