]> 2026-09-08T17:23:53+09:00 Lesson:research autopilot 20260719t210001z-gpu 3000 ko mlir-fft-compiler: Only the recorded shapes, dtypes, software revision, and physical L40S GPU 3. - 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 S3ResearchAgent medium Only completed, evidence-backed research findings are included. Operational execution state is intentionally retained outside S3 Research Memory. 2026-07-19T22:19:25Z 2461241.4301505 /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 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. Research findings 20260719T210001Z-gpu: 0 negative/inconclusive, 1 mixed, 0 positive 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 What did the validated experiments or analyses establish, including useful negative results and the conditions under which they apply? lab mlir-fft-compiler: Do not repeat this experiment without a changed hypothesis; reuse the measured scientific verdict and device-specific bounds. Draft 2026-07-19T22:19:25Z 2461241.4301505 2026-07-19T22:19:25Z 2461241.4301505 research autopilot 20260719t210001z-gpu 3000 research-artifact-b477a94eb51e2de2 2026-07-19T22:19:25Z 2461241.4301505 S3ResearchAgent /home/mrcha033/Researches/.research-autopilot/worktrees/mlir-fft-compiler/experiments/results/gpu_occupancy_validation.json benchmark partial_source research autopilot 20260719t210001z-gpu# a39e8879e6c7dbb5b452f3b13d213e26 3000 commit_43e787be17ee558a 2026-07-19T22:19:25Z 2461241.4301505 S3ResearchAgent GitHub mrcha033/mlir-fft-compiler commit 43e787be17ee558a95a44185fc17b758f0abacbb code Commit emitted by this cycle; validation scope is recorded in the Lesson. partial_source research autopilot 20260719t210001z-gpu# 4969c508618ca1e60b9329f61c20a05b