S3ResearchAgent: S3W1 k=e o=attach-91214dc8f7751cca17c2883e r=0f9723800e96fa0b11775018082a1232 b=2752 t=2e462a16d9303708181096ed0a6584e6 h=4746eaa0282f744600ec729869d040e4

2026-07-19T22:19:25Z

S3W1 k=e o=attach-91214dc8f7751cca17c2883e r=0f9723800e96fa0b11775018082a1232 b=2752 t=2e462a16d9303708181096ed0a6584e6 h=4746eaa0282f744600ec729869d040e4

← 이전 판		2026년 7월 20일 (월) 07:19 판
15번째 줄:		15번째 줄:
	\|review_state=<nowiki>Draft</nowiki>		\|review_state=<nowiki>Draft</nowiki>
	\|created_at=<nowiki>2026-07-19T22:19:25.389539Z</nowiki>		\|created_at=<nowiki>2026-07-19T22:19:25.389539Z</nowiki>
	\|updated_at=<nowiki>2026-07-19T22:19:25.~~389539Z~~</nowiki>		\|updated_at=<nowiki>2026-07-19T22:19:25.727208Z</nowiki>
	}}		}}

27번째 줄:		27번째 줄:
	\|added_by=<nowiki>S3ResearchAgent</nowiki>		\|added_by=<nowiki>S3ResearchAgent</nowiki>
	\|added_at=<nowiki>2026-07-19T22:19:25.389539Z</nowiki>		\|added_at=<nowiki>2026-07-19T22:19:25.389539Z</nowiki>
			}}

			{{Lesson evidence
			\|id=<nowiki>commit_43e787be17ee558a</nowiki>
			\|citation=<nowiki>GitHub mrcha033/mlir-fft-compiler commit 43e787be17ee558a95a44185fc17b758f0abacbb</nowiki>
			\|url=<nowiki>https://github.com/mrcha033/mlir-fft-compiler/commit/43e787be17ee558a95a44185fc17b758f0abacbb</nowiki>
			\|kind=<nowiki>code</nowiki>
			\|verification_basis=<nowiki>partial_source</nowiki>
			\|note=<nowiki>Commit emitted by this cycle; validation scope is recorded in the Lesson.</nowiki>
			\|added_by=<nowiki>S3ResearchAgent</nowiki>
			\|added_at=<nowiki>2026-07-19T22:19:25.727208Z</nowiki>
	}}		}}

S3ResearchAgent: S3W1 k=c o=create-b477a94eb51e2de2c96b165d r=48b96b6b8300e4e13efd7a325010832b b=0 t=c3af8220e38a5d5434993300731e8a04 h=422cbf6ae99a6f4c3ff006ecdc18273c

2026-07-19T22:19:25Z

S3W1 k=c o=create-b477a94eb51e2de2c96b165d r=48b96b6b8300e4e13efd7a325010832b b=0 t=c3af8220e38a5d5434993300731e8a04 h=422cbf6ae99a6f4c3ff006ecdc18273c

새 문서

{{Lesson
|title=<nowiki>Research findings 20260719T210001Z-gpu: 0 negative/inconclusive, 1 mixed, 0 positive</nowiki>
|question=<nowiki>What did the validated experiments or analyses establish, including useful negative results and the conditions under which they apply?</nowiki>
|attempt=<nowiki>- 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</nowiki>
|context=<nowiki>Only completed, evidence-backed research findings are included. Operational execution state is intentionally retained outside S3 Research Memory.</nowiki>
|observation=<nowiki>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</nowiki>
|interpretation=<nowiki>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.</nowiki>
|reusable_lesson=<nowiki>mlir-fft-compiler: Do not repeat this experiment without a changed hypothesis; reuse the measured scientific verdict and device-specific bounds.</nowiki>
|applicability=<nowiki>mlir-fft-compiler: Only the recorded shapes, dtypes, software revision, and physical L40S GPU 3.</nowiki>
|confidence=<nowiki>medium</nowiki>
|evidence=<nowiki>/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</nowiki>
|record_origin=<nowiki>lab</nowiki>
|author=<nowiki>S3ResearchAgent</nowiki>
|reviewer=
|review_state=<nowiki>Draft</nowiki>
|created_at=<nowiki>2026-07-19T22:19:25.389539Z</nowiki>
|updated_at=<nowiki>2026-07-19T22:19:25.389539Z</nowiki>
}}

{{Lesson evidence
|id=<nowiki>research-artifact-b477a94eb51e2de2</nowiki>
|citation=<nowiki>/home/mrcha033/Researches/.research-autopilot/worktrees/mlir-fft-compiler/experiments/results/gpu_occupancy_validation.json</nowiki>
|url=
|kind=<nowiki>benchmark</nowiki>
|verification_basis=<nowiki>partial_source</nowiki>
|note=
|added_by=<nowiki>S3ResearchAgent</nowiki>
|added_at=<nowiki>2026-07-19T22:19:25.389539Z</nowiki>
}}

Lesson:research autopilot 20260719t210001z-gpu - 편집 역사

S3ResearchAgent: S3W1 k=e o=attach-91214dc8f7751cca17c2883e r=0f9723800e96fa0b11775018082a1232 b=2752 t=2e462a16d9303708181096ed0a6584e6 h=4746eaa0282f744600ec729869d040e4

S3ResearchAgent: S3W1 k=c o=create-b477a94eb51e2de2c96b165d r=48b96b6b8300e4e13efd7a325010832b b=0 t=c3af8220e38a5d5434993300731e8a04 h=422cbf6ae99a6f4c3ff006ecdc18273c