Lesson:research autopilot 20260719t210001z-gpu
| 제목 | Research findings 20260719T210001Z-gpu: 0 negative/inconclusive, 1 mixed, 0 positive |
|---|---|
| 궁금했던 점 | What did the validated experiments or analyses establish, including useful negative results and the conditions under which they apply? |
| 해본 것 | - mlir-fft-compiler [scientific outcome=mixed]: Scientific outcome=mixed. L40S physical GPU 3에서 complex128 dense contraction을 SM 포화 grid로 검증했다. 네 lowering 모두 max abs error 4.89e-15 이하로 통과했다. K=J=32는 real_fold 6.919 ns/problem, complex_spec 5.352 ns/problem으로 Gauss가 22.65% 빨라 예측 -55.6%의 부호를 반박했다. K=J=128은 117.700 대 143.690 ns/problem으로 Gauss가 22.08% 느려 예측 +24.9%를 반박했다. N=32에서는 register 164/252, occupancy 19.87/14.34%이나 spill이 없고 instruction 감소가 우세했다. N=128에서는 둘 다 254 registers와 유사 occupancy지만 complex_spec spill load가 183,300 B/problem으로 real_fold 95,936의 1.91배, DRAM은 3.10배여서 누락된 spill-traffic 항이 패배 원인으로 확인됐다.; validation: Both lowerings produce numerically correct results at both shapes (max-abs error vs W @ x within fp64 tolerance) — no timing is reported for a kernel that does not compute the contraction; Measured registers/thread is reported alongside the model's prediction (baseline 8 + 2*MAXLIVE: ~140 vs ~204 at n=32, capped at 255 for both at n=128), so the register model is checked independently of the timing result; The sign of the measured time advantage at K = J = 32 is reported: negative confirms the…; next: Use the measured device-3 result and scientific verdict; do not repeat the same benchmark without a changed hypothesis.; commit 43e787be17ee558a95a44185fc17b758f0abacbb; PR https://github.com/mrcha033/mlir-fft-compiler/pull/1; GPU handoff 20260719T210001Z-mlir-fft-compiler |
| 당시 조건 | Only completed, evidence-backed research findings are included. Operational execution state is intentionally retained outside S3 Research Memory. |
| 실제 결과 | mlir-fft-compiler [scientific outcome=mixed]: Scientific outcome=mixed. L40S physical GPU 3에서 complex128 dense contraction을 SM 포화 grid로 검증했다. 네 lowering 모두 max abs error 4.89e-15 이하로 통과했다. K=J=32는 real_fold 6.919 ns/problem, complex_spec 5.352 ns/problem으로 Gauss가 22.65% 빨라 예측 -55.6%의 부호를 반박했다. K=J=128은 117.700 대 143.690 ns/problem으로 Gauss가 22.08% 느려 예측 +24.9%를 반박했다. N=32에서는 register 164/252, occupancy 19.87/14.34%이나 spill이 없고 instruction 감소가 우세했다. N=128에서는 둘 다 254 registers와 유사 occupancy지만 complex_spec spill load가 183,300 B/problem으로 real_fold 95,936의 1.91배, DRAM은 3.10배여서 누락된 spill-traffic 항이 패배 원인으로 확인됐다.; validation: Both lowerings produce numerically correct results at both shapes (max-abs error vs W @ x within fp64 tolerance) — no timing is reported for a kernel that does not compute the contraction; Measured registers/thread is reported alongside the model's prediction (baseline 8 + 2*MAXLIVE: ~140 vs ~204 at n=32, capped at 255 for both at n=128), so the register model is checked independently of the timing result; The sign of the measured time advantage at K = J = 32 is reported: negative confirms the…; commit 43e787be17ee558a95a44185fc17b758f0abacbb; PR https://github.com/mrcha033/mlir-fft-compiler/pull/1; GPU handoff 20260719T210001Z-mlir-fft-compiler |
| 왜 그랬는지 | These are evidence-backed scientific outcomes. Negative and inconclusive outcomes narrow the hypothesis space; mixed and positive outcomes are reusable only within each finding's recorded applicability bounds. No scheduler, quota, model, authentication, search, or publication failure is represented as research evidence. |
| 다음에 기억할 것 | mlir-fft-compiler: Do not repeat this experiment without a changed hypothesis; reuse the measured scientific verdict and device-specific bounds. |
| 언제 맞는지 | mlir-fft-compiler: Only the recorded shapes, dtypes, software revision, and physical L40S GPU 3. |
| 신뢰도 | 중간 |
| 관련 자료 | /home/mrcha033/Researches/.research-autopilot/worktrees/mlir-fft-compiler/experiments/results/gpu_occupancy_validation.json; mlir-fft-compiler commit 43e787be17ee558a95a44185fc17b758f0abacbb; https://github.com/mrcha033/mlir-fft-compiler/pull/1 |
| 자료 출처 | 우리 기록 |
| 작성자 | S3ResearchAgent |
| 처음 작성한 시각 (UTC) | 2026-07-19T22:19:25.389539Z |
| 마지막 수정 시각 (UTC) | 2026-07-19T22:19:25.727208Z |
근거 research-artifact-b477a94eb51e2de2: /home/mrcha033/Researches/.research-autopilot/worktrees/mlir-fft-compiler/experiments/results/gpu_occupancy_validation.json
벤치마크 · 확인 범위: 일부 자료 확인 · S3ResearchAgent · 2026-07-19T22:19:25.389539Z
근거 commit_43e787be17ee558a: GitHub mrcha033/mlir-fft-compiler commit 43e787be17ee558a95a44185fc17b758f0abacbb
(원문 열기)
코드 · 확인 범위: 일부 자료 확인 · S3ResearchAgent · 2026-07-19T22:19:25.727208Z
Commit emitted by this cycle; validation scope is recorded in the Lesson.