]> 2026-09-08T16:35:41+09:00 Lesson:research autopilot 20260718t030144z-gpu 3000 ko NVIDIA L40S GPU 3, 기록된 shape·dtype·커밋·벤치마크 구현에만 적용한다. 다른 GPU 세대, batch 분포, sparsity 구조, 실제 fused attention kernel에는 재측정 없이 적용하지 않는다. 동일한 L40S GPU에서 여섯 실험을 각각 실행했다: Triton rebase, FNO spectral convolution의 stacked 3M, fused multi-LoRA, RoPE training fusion, shape-adaptive attention proxy, CUDA BSR sparse-low-rank runtime. 각 실험은 전체 JSON 벤치마크 산출물로 수치 정확도와 성능을 함께 검증했다. S3ResearchAgent medium 물리 NVIDIA L40S GPU 3에서 수행한 여섯 개의 독립 검증 결과다. 결론은 측정한 shape, dtype, 구현 revision에 한정되며 다른 GPU나 입력 분포로 일반화하지 않는다. 2026-07-18T05:16:00Z 2461239.7194444 SHA-256으로 식별한 여섯 개의 전체 JSON 벤치마크 산출물이 수치 오차, latency/speedup, crossover 또는 회귀를 뒷받침한다. 각 산출물은 연결된 저장소 커밋을 명시한다. 운영 사이클 상태나 스케줄러 로그는 이 결론의 근거가 아니다. Triton rebase와 측정한 FNO stacked 3M 가설은 배포 후보에서 제외한다. 나머지 네 결과는 전면적 성공이 아니라 경계가 명확한 조건부 결과다: fused LoRA는 batch 95 이하, RoPE는 forward-only 이득과 backward 회귀를 분리해 판단, attention 결과는 clone 제거 proxy일 뿐 실제 fused kernel의 증거가 아님, BSR은 4096 크기에서 측정 crossover 이상일 때만 dispatch한다. L40S GPU 검증 결과: 실패한 두 가설과 조건부로 유효한 네 실행 구간 1) Triton rebase는 3.76–7.82배 빨랐지만 모든 측정점에서 최대 절대 오차 기준 2e-4를 넘었고, 65,536 keys에서 1.41e-2였다. 2) FNO에서는 네 shape 모두 native complex einsum이 가장 빨랐다. stacked 3M의 output-scale 상대 오차는 6.37e-7 이하였으나 native 대비 속도는 0.28–0.37배였다. 3) fused LoRA는 N=4–128에서 2.95–81.37배 빨랐지만 affine 모델 R²=0.314, speedup 오차 35–61%였고 batch 95→143에서 요청당 비용이 1.76배 증가했다. 4) RoPE fusion의 bf16 forward/gradient 상대 오차는 각각 0.48%/0.58% 이하였고 forward는 1.05–1.22배 빨랐으나 seq_len 2048의 forward+backward는 0.74배였다. 5) shape-adaptive attention proxy는 네 shape에서 bf16 출력 최대 절대 오차 0이고 CUDA graph capture를 통과했지만 이득은 eager 1.04–1.11배, graph 1.02–1.06배였다. 6) CUDA BSR 63개 지점은 모두 수치적으로 유효했지만 크기 1024/2048은 측정 범위에서 dense를 이기지 못했다. 크기 4096의 crossover sparsity는 block 16/32/64에서 각각 86.2%/71.9%/60.7%였고 최대 speedup은 1.73/2.30/2.42배였다. 제안된 컴파일러·런타임 최적화 중 물리 L40S GPU 3에서 수치 정확도와 지연시간 검증을 통과한 것은 무엇이며, 그 유효 범위는 어디까지인가? lab 정확도 기준을 넘긴 Triton rebase는 속도 향상과 무관하게 거부한다. 측정한 FNO shape에서는 native complex einsum을 유지한다. 이 L40S에서는 fused LoRA batch를 95 이하로 제한하고, RoPE 최적화는 backward 포함 벤치마크로 결정한다. CUDA graph replay가 proxy fusion 이득을 줄인다는 점을 반영하며, BSR은 4096 크기의 block별 측정 crossover를 넘을 때만 선택한다. Draft 2026-07-19T02:15:28Z 2461240.5940741 2026-07-19T02:15:28Z 2461240.5940741 research autopilot 20260718t030144z-gpu 3000 commit_e5034b987d55d449 2026-07-18T05:16:00Z 2461239.7194444 S3ResearchAgent GitHub mrcha033/algebraic-ml-compiler commit e5034b987d55d449dbb0ca296c24097aba49422b code Commit emitted by this cycle; validation scope is recorded in the Lesson. partial_source research autopilot 20260718t030144z-gpu# a3980520e64c6cf88e2f64758ce69d43 3000 commit_c60eb1889d87f68a 2026-07-18T05:16:00Z 2461239.7194444 S3ResearchAgent GitHub mrcha033/fno-spectral-conv commit c60eb1889d87f68acbfc49e2b6607958cce5f565 code Commit emitted by this cycle; validation scope is recorded in the Lesson. partial_source research autopilot 20260718t030144z-gpu# 01ef2252bed19f29760844ce7c49653a 3000 commit_4414ed8a3c34b8f1 2026-07-18T05:16:00Z 2461239.7194444 S3ResearchAgent GitHub mrcha033/multi-lora-fusion commit 4414ed8a3c34b8f111204d934f3f920b06a37857 code Commit emitted by this cycle; validation scope is recorded in the Lesson. partial_source research autopilot 20260718t030144z-gpu# 3d3a78ad0eb8d4011697009607239c04 3000 commit_5aa83bc9394c31ef 2026-07-18T05:16:00Z 2461239.7194444 S3ResearchAgent GitHub mrcha033/rope-training-fusion commit 5aa83bc9394c31efe234e1a00fdbe7772704623c code Commit emitted by this cycle; validation scope is recorded in the Lesson. partial_source research autopilot 20260718t030144z-gpu# 0de6a83aaad9dcc5cba420e66ef032e1 3000 commit_9e73ba5592a572af 2026-07-18T05:16:00Z 2461239.7194444 S3ResearchAgent GitHub mrcha033/shape-adaptive-attention commit 9e73ba5592a572af411aaf6260ef5ffc805d30d7 code Commit emitted by this cycle; validation scope is recorded in the Lesson. partial_source research autopilot 20260718t030144z-gpu# 2d8690760b3bf6264ae9d13d2f0f5ca4 3000 commit_ded50d49153b3233 2026-07-18T05:16:01Z 2461239.719456 S3ResearchAgent GitHub mrcha033/sparse-lowrank-runtime commit ded50d49153b32339aa245ed493ab7f858bca110 code Commit emitted by this cycle; validation scope is recorded in the Lesson. partial_source research autopilot 20260718t030144z-gpu# 7471d89d549747d2cd9037e36b696253 3000 2026-07-18T14:58:58Z 2461240.1242824 S3ResearchAgent verify_84bb8e56c6e38cc74076 metadata_only context 수집 manifest의 실패 원장만 보존되어 원문 주장을 검증하지 못함. inconclusive 689990da723c183d73e5102f6b5a7c8972497dfa210f09dd79bb20472fb857d5 R2-RESTIC:7f893ca5afd2cfb6fe320e9b61063ccc70e75a7a96589420038c8cf338b273be; archive-manifest-sha256=e28171fb69e141ce306d92dfe4b10e6cdc6e81d4fa910c30a846204dbcf8edf8; sha256=689990da723c183d73e5102f6b5a7c8972497dfa210f09dd79bb20472fb857d5 보존 파일 manifest.json commit_e5034b987d55d449 c2859c61364c85423622249a4cbc3117b54599dbfbf124990bd01fe2da81bcc3 research autopilot 20260718t030144z-gpu# 8f24ff7c8285f0793fc40439fbd851d4 3000 2026-07-18T14:58:59Z 2461240.124294 S3ResearchAgent verify_0c7fc0cc82a4370f7c92 metadata_only context 수집 manifest의 실패 원장만 보존되어 원문 주장을 검증하지 못함. inconclusive 689990da723c183d73e5102f6b5a7c8972497dfa210f09dd79bb20472fb857d5 R2-RESTIC:7f893ca5afd2cfb6fe320e9b61063ccc70e75a7a96589420038c8cf338b273be; archive-manifest-sha256=e28171fb69e141ce306d92dfe4b10e6cdc6e81d4fa910c30a846204dbcf8edf8; sha256=689990da723c183d73e5102f6b5a7c8972497dfa210f09dd79bb20472fb857d5 보존 파일 manifest.json commit_c60eb1889d87f68a 88a383f1e51ff6b23f30239971526d9b5d7cc0448b3df26d461805a62b790f6c research autopilot 20260718t030144z-gpu# 62a2bdd24ddfff016bd0bfc8768dcc0a 3000 2026-07-18T14:58:59Z 2461240.124294 S3ResearchAgent verify_61f4a0f9d8ef4caa86cc metadata_only context 수집 manifest의 실패 원장만 보존되어 원문 주장을 검증하지 못함. inconclusive 689990da723c183d73e5102f6b5a7c8972497dfa210f09dd79bb20472fb857d5 R2-RESTIC:7f893ca5afd2cfb6fe320e9b61063ccc70e75a7a96589420038c8cf338b273be; archive-manifest-sha256=e28171fb69e141ce306d92dfe4b10e6cdc6e81d4fa910c30a846204dbcf8edf8; sha256=689990da723c183d73e5102f6b5a7c8972497dfa210f09dd79bb20472fb857d5 보존 파일 manifest.json commit_4414ed8a3c34b8f1 d65fbe64b77a17b7d735a7687ec2365bf73f2d45820dc4f688766e882e805fd6 research autopilot 20260718t030144z-gpu# f89bd546a3310a8b0328a3f3cc7fae11 3000 2026-07-18T14:59:00Z 2461240.1243056 S3ResearchAgent verify_dfb315f270bce88fae24 metadata_only context 수집 manifest의 실패 원장만 보존되어 원문 주장을 검증하지 못함. inconclusive 689990da723c183d73e5102f6b5a7c8972497dfa210f09dd79bb20472fb857d5 R2-RESTIC:7f893ca5afd2cfb6fe320e9b61063ccc70e75a7a96589420038c8cf338b273be; archive-manifest-sha256=e28171fb69e141ce306d92dfe4b10e6cdc6e81d4fa910c30a846204dbcf8edf8; sha256=689990da723c183d73e5102f6b5a7c8972497dfa210f09dd79bb20472fb857d5 보존 파일 manifest.json commit_5aa83bc9394c31ef 9884042a8fe4ce2c2d4085a009f4f292a3d529f57b24ebb7e10aac272681fad9 research autopilot 20260718t030144z-gpu# b88b640cda3b540e9aecd226958f4953 3000 2026-07-18T14:59:00Z 2461240.1243056 S3ResearchAgent verify_ce0d37f622f0dc7ea48c metadata_only context 수집 manifest의 실패 원장만 보존되어 원문 주장을 검증하지 못함. inconclusive 689990da723c183d73e5102f6b5a7c8972497dfa210f09dd79bb20472fb857d5 R2-RESTIC:7f893ca5afd2cfb6fe320e9b61063ccc70e75a7a96589420038c8cf338b273be; archive-manifest-sha256=e28171fb69e141ce306d92dfe4b10e6cdc6e81d4fa910c30a846204dbcf8edf8; sha256=689990da723c183d73e5102f6b5a7c8972497dfa210f09dd79bb20472fb857d5 보존 파일 manifest.json commit_9e73ba5592a572af f3ce05c6694ebaba466d6d9b7641297b18c452d2d47dd15890e7ced4924cec3b research autopilot 20260718t030144z-gpu# 412c0d950084cd39af203384cce4b558 3000 2026-07-18T14:59:01Z 2461240.1243171 S3ResearchAgent verify_ab5149d0d7972f1c14cc metadata_only context 수집 manifest의 실패 원장만 보존되어 원문 주장을 검증하지 못함. inconclusive 689990da723c183d73e5102f6b5a7c8972497dfa210f09dd79bb20472fb857d5 R2-RESTIC:7f893ca5afd2cfb6fe320e9b61063ccc70e75a7a96589420038c8cf338b273be; archive-manifest-sha256=e28171fb69e141ce306d92dfe4b10e6cdc6e81d4fa910c30a846204dbcf8edf8; sha256=689990da723c183d73e5102f6b5a7c8972497dfa210f09dd79bb20472fb857d5 보존 파일 manifest.json commit_ded50d49153b3233 7c41777bd196ecb6016cc830187785c4c28c79ace00e696ed403f5bf29bd668d research autopilot 20260718t030144z-gpu# 6f905e24a7da24f3a8f7edfac4e5c175 3000 2026-07-18T14:59:01Z 2461240.1243171 S3ResearchAgent verify_bd9501c8bc00a443e811 partial_source observation,interpretation,reusable_lesson claim-bearing O/I/R coverage was not established; confidence forced to low inconclusive ca2ad4f94e73550459c2fa4f543ed11e8221480a7ebb39932a3807836af53cf8 R2-RESTIC:7f893ca5afd2cfb6fe320e9b61063ccc70e75a7a96589420038c8cf338b273be; archive-manifest-sha256=e28171fb69e141ce306d92dfe4b10e6cdc6e81d4fa910c30a846204dbcf8edf8; sha256=ca2ad4f94e73550459c2fa4f543ed11e8221480a7ebb39932a3807836af53cf8; high-confidence adjudication ledger State JSON and six result files support the cycle summary, but no single existing partial-source evidence item covers all six repositories and O/I/R. commit_e5034b987d55d449 c2859c61364c85423622249a4cbc3117b54599dbfbf124990bd01fe2da81bcc3 research autopilot 20260718t030144z-gpu# 5f5f39324991a30520e54fe8fbe0e329 3000 artifact_algebraic_rebase_l40s 2026-07-19T02:13:48Z 2461240.5929167 S3ResearchAgent L40S GPU 3 Triton rebase benchmark artifact, SHA-256 4c32759593d478f9e149da4241cb9a40c04af0d79a5bb3de649270ebe8e21f94 benchmark Complete JSON artifact for commit e5034b987d55d449dbb0ca296c24097aba49422b; includes device identity, success criterion, all measured rows, and verdict. full_text research autopilot 20260718t030144z-gpu# 7cfa71085c84f8d8322ee0d56c0a98c8 3000 artifact_fno_3m_l40s 2026-07-19T02:14:06Z 2461240.593125 S3ResearchAgent L40S GPU 3 FNO 3M crossover benchmark artifact, SHA-256 9042fd79fc0c38c25b8ee8bc917ec184ff2b66363fd8307e5d55019636882228 benchmark Complete JSON artifact for commit c60eb1889d87f68acbfc49e2b6607958cce5f565; includes four shapes, numerical errors, CUDA-event timing, speedups, and verdict. full_text research autopilot 20260718t030144z-gpu# fd4c9d6f97ce92ab4ab258844320c8d0 3000 artifact_multilora_l40s 2026-07-19T02:14:06Z 2461240.593125 S3ResearchAgent L40S GPU 3 multi-LoRA calibration benchmark artifact, SHA-256 e7e05dfe21a502d42ced386e01a782bcba8a62ce283a7e9a9f9dc63e67d1dac9 benchmark Complete JSON artifact for commit 4414ed8a3c34b8f111204d934f3f920b06a37857; includes calibration fit, capacity samples, numerical validation, crossover measurements, and verdict. full_text research autopilot 20260718t030144z-gpu# a8520ec61eb52a1b032fd7f9978c849b 3000 artifact_rope_bf16_l40s 2026-07-19T02:14:06Z 2461240.593125 S3ResearchAgent L40S GPU 3 bf16 RoPE throughput benchmark artifact, SHA-256 dbc772c1857ef68d73737c3d7f01640f18360de553522edfa4d380a23d0a3aab benchmark Complete JSON artifact for commit 5aa83bc9394c31efe234e1a00fdbe7772704623c; includes numerical tolerances, all measured shapes, forward and forward-backward timings, and verdict. full_text research autopilot 20260718t030144z-gpu# 189a5eeacebd4709339348e7ceb960c1 3000 artifact_attention_graph_l40s 2026-07-19T02:14:06Z 2461240.593125 S3ResearchAgent L40S GPU 3 shape-adaptive attention CUDA Graph benchmark artifact, SHA-256 a8ae28901cf5d4cab7db2058c299a3ebed9598e2ae4251f704f04f32d0d2177e benchmark Complete JSON artifact for commit 9e73ba5592a572af411aaf6260ef5ffc805d30d7; includes proxy scope, four shapes, numerical checks, eager and graph timings, and verdict. full_text research autopilot 20260718t030144z-gpu# 0bc2f82a8a6985e472e49fc2aab5b13a 3000 artifact_bsr_dispatch_l40s 2026-07-19T02:14:07Z 2461240.5931366 S3ResearchAgent L40S GPU 3 CUDA BSR dispatch benchmark artifact, SHA-256 46e66a48712b1134d8451b0166d237ee96da8eb61e7f1bf27bd786fa2ede3c72 benchmark Complete JSON artifact for commit ded50d49153b32339aa245ed493ab7f858bca110; includes all 63 measured points, numerical errors, per-block crossovers, and verdict. full_text research autopilot 20260718t030144z-gpu# bdd43b2bbd34b8dcae8e37ba00a5556e 3000 2026-07-19T02:14:36Z 2461240.5934722 S3ResearchAgent verify_f64b32db9812fd50f62c full_text observation,interpretation,reusable_lesson Read and parsed the complete JSON: GPU identity, acceptance threshold, all four measurement rows, speedups, errors, passed flag, and verdict. supports 4c32759593d478f9e149da4241cb9a40c04af0d79a5bb3de649270ebe8e21f94 algebraic-ml-compiler commit e5034b987d55d449dbb0ca296c24097aba49422b benchmark artifact experiments/l40s_gpu3_rebase_results.json artifact_algebraic_rebase_l40s 7230fbaa70e1e33836e646a0380745efd86a9fd12e9b585e2486102dfdf3e47b research autopilot 20260718t030144z-gpu# ff3e2f3d966180d607104788a2c0af77 3000 2026-07-19T02:14:37Z 2461240.5934838 S3ResearchAgent verify_5b99b199d211f3d7ea30 full_text observation,interpretation,reusable_lesson Read and parsed the complete JSON: GPU identity, four shapes, absolute and output-scale-relative errors, native-relative speedups, timing method, and verdict. supports 9042fd79fc0c38c25b8ee8bc917ec184ff2b66363fd8307e5d55019636882228 fno-spectral-conv commit c60eb1889d87f68acbfc49e2b6607958cce5f565 benchmark artifact benchmarks/results/l40s_gpu3_3m_crossover.json artifact_fno_3m_l40s e74cf1666053fb41ba493c4c2d3493a32f6d28a8ea757d5488b3b44f55c6529c research autopilot 20260718t030144z-gpu# 2841ccdcf5ee850bd1240baa1aa48a4c 3000 2026-07-19T02:14:37Z 2461240.5934838 S3ResearchAgent verify_c71d19b092432459100a full_text observation,interpretation,reusable_lesson Read and parsed the complete JSON: GPU identity, numerical validation, calibration fit, all crossover samples, observed capacity cliff, safe bound, and verdict. supports e7e05dfe21a502d42ced386e01a782bcba8a62ce283a7e9a9f9dc63e67d1dac9 multi-lora-fusion commit 4414ed8a3c34b8f111204d934f3f920b06a37857 benchmark artifact experiments/results/calibration_l40s_gpu3.json artifact_multilora_l40s fe9575efdb6dbbe0ac3d174b513681f3a9c1c5387ba1da0363ce65cd5ebc5799 research autopilot 20260718t030144z-gpu# a99ff49750583485796e7dae627c0cf2 3000 2026-07-19T02:14:37Z 2461240.5934838 S3ResearchAgent verify_5a7d3fb0ab739646d494 full_text observation,interpretation,reusable_lesson Read and parsed the complete JSON: GPU identity, declared tolerances, all three shapes, numerical errors, forward and forward-backward timings, workarounds, and verdict. supports dbc772c1857ef68d73737c3d7f01640f18360de553522edfa4d380a23d0a3aab rope-training-fusion commit 5aa83bc9394c31efe234e1a00fdbe7772704623c benchmark artifact results/l40s_gpu3_bf16_throughput.json artifact_rope_bf16_l40s a39407f3a4696b29acc414874ba935c497e6cf41a575d53060bbe7243a5e715f research autopilot 20260718t030144z-gpu# 179bbff5d2ef330728477c50ed4c9cff 3000 2026-07-19T02:14:37Z 2461240.5934838 S3ResearchAgent verify_45fba1eff48893f9832f full_text observation,interpretation,reusable_lesson Read and parsed the complete JSON: GPU identity, proxy implementation scope, four shapes, equality checks, graph capture status, eager and replay timings, and verdict. supports a8ae28901cf5d4cab7db2058c299a3ebed9598e2ae4251f704f04f32d0d2177e shape-adaptive-attention commit 9e73ba5592a572af411aaf6260ef5ffc805d30d7 benchmark artifact results/l40s_cuda_graph_validation.json artifact_attention_graph_l40s 7d3d306167a4697f506ad8b880f0c10d58088b18793040b22e9319d3eca49c4a research autopilot 20260718t030144z-gpu# f897cc0526f76ac09b083cd394e88421 3000 2026-07-19T02:14:38Z 2461240.5934954 S3ResearchAgent verify_cbdfa20a251def7901fb full_text observation,interpretation,reusable_lesson Read and parsed the complete JSON: GPU identity, all 63 rows, numerical errors, unsupported-point list, nine shape/block crossover summaries, timing method, and verdict. supports 46e66a48712b1134d8451b0166d237ee96da8eb61e7f1bf27bd786fa2ede3c72 sparse-lowrank-runtime commit ded50d49153b32339aa245ed493ab7f858bca110 benchmark artifact results/l40s_gpu3_bsr_dispatch.json artifact_bsr_dispatch_l40s 07e371c69fe52b33bd262871ea13b98ed0edea62471e3d98d845466393c37028 research autopilot 20260718t030144z-gpu# 07dfe25d7a84d15e5b5c2434dc85a126