속성으로 검색

이 문서는 속성과 이름이 지정된 값으로 설명된 개체를 찾기 위한 간단한 탐색 인터페이스를 제공합니다. 그 밖에 사용 가능한 검색 인터페이스에는 문서 속성 검색 및 Ask 쿼리 빌더가 있습니다.

결과 목록

• Lesson:asymmetric raid rethinking raid for ssd heterogeneity bfd97257  + (Ziyang Jiao et al., "Asymmetric RAID: Rethinking RAID for SSD Heterogeneity", HotStorage 2024.)
• Lesson:asymmetric raid rethinking raid for ssd heterogeneity bfd97257  + (Ziyang Jiao et al., "Asymmetric RAID: Rethinking RAID for SSD Heterogeneity", HotStorage 2024.)
• Lesson:the design and implementation of a capacity variant storage system 91c1817e  + (Ziyang Jiao et al., "The Design and Implementation of a Capacity-Variant Storage System", FAST 2024.)
• Lesson:the design and implementation of a capacity variant storage system 91c1817e  + (Ziyang Jiao et al., "The Design and Implementation of a Capacity-Variant Storage System", FAST 2024.)
• Lesson:compare identical source envelopes at long run boundaries 5f58511d  + (a03/a04 Qwen semantic replication check: c … a03/a04 Qwen semantic replication check: canonical JSON projection over dataset, model, tokenizer, records sorted by item_id, and belief_model with beliefs sorted by prompt_bin produced identical SHA-256 6217dd467806ba2ba160d6134dd934c6dc6c0acc2fa942e4bbf2b5d284eb66ba for both runs. Whole artifact hashes differ because backend provenance records different Git commits. provenance records different Git commits.)
• Lesson:machine validation receipts should be structurally unable to grant human acceptance 470a7c00  + (a04 machine receipt SHA-256 2c870f2169b226 … a04 machine receipt SHA-256 2c870f2169b226edfed3e41fc079ff043e37caf7b0d973977f5f6c60bff3b740 at validation commit b918024e43ea974e2d2cb6f1db9467863f6c7e76. Full verify_files+verify_commit revalidation passed. Status validated_pending_human_review; inventory_eligible=false; next gate separate_human_acceptance_attestation.ate separate_human_acceptance_attestation.)
• Lesson:separate semantic replication hashes from provenance bound artifact hashes e7ab7a4e  + (a04 passed decision SHA-256 3627583ec41aa1 … a04 passed decision SHA-256 3627583ec41aa159b7aa08818b0140d82e1296a59774cf9f61acf77e78a9a97e; source commit 99ccfb7b7f55199876191ff443fe7398db7a8e1a clean; exact journal seq0..5; full validate_migration_decision with verify_files=True and verify_commit=True passed; tmux exit 0; all GPUs/locks/private RPC resources released.GPUs/locks/private RPC resources released.)
• Lesson:research autopilot 20260723t090001z-gpu  + (algebraic-ml-compiler/RESEARCH/precision_aware_rewrite_legality_20260718_174112/theorem_v3_cuda_sm89_validation_20260722.json)
• Lesson:pivot-b200-20260717-venv-launcher-identity-a01  + (b200-2-generation-20260717-a01 decision.json and qwen/generation.log)
• Lesson:pivot-b200-20260717-zmq-ipc-path-a01  + (b200-2-generation-20260717-a02 decision.json and qwen/generation.log)
• Lesson:compare identical source envelopes at long run boundaries 5f58511d  + (b200-2-generation-20260717-a03 failed decision SHA-256 bc1bc823814e18d471233e87817328e1b1c1f742b96fcb5f061cc925ce10e0ec; both model artifacts collected; GPU0 only; all resources released)
• Lesson:research autopilot 20260720t030001z gpu  + (boundary_ordering_cuda.json artifact from L40S GPU3 run)
• Lesson:dlora dynamically orchestrating requests and adapters for lora llm serving 3827bfa3  + (dLoRA: Dynamically Orchestrating Requests and Adapters for LoRA LLM Serving. OSDI 2024.)
• Lesson:research autopilot 20260723t030001z  + (docs/evidence/diversifier_track_ablation_transfer_v3.json: 4 cells all 1-lineage [seed_defensive_cash], two_lineage=False, supported=False)
• Lesson:research autopilot 20260721t090001z  + (docs/evidence/divsweep_pool_v3_leaderboard.csv (v3 pool, 3 gate-passers unchanged from v2))
• Lesson:dwkv failed run fail closed  + (experiments/archive/FAILED_RUNS.md; experiments/archive/pre_seed_fix/README.md; tests/legacy/test_sharegpt_harness.py)
• Lesson:dwkv metric mismatch  + (experiments/archive/SOTA_RUN_FINDINGS.md:230-359; research/archive/PROGRESS_PRE_PIVOT.md)
• Lesson:dwkv kv saturation unproven  + (experiments/archive/SOTA_RUN_FINDINGS.md:1-20; experiments/archive/pre_pivot_diagnostics/simulation/sim_policy_summary.md:35-42; scripts/legacy/dwkv/dwkv_diagnostics.py)
• Lesson:dwkv collinear slo confound  + (experiments/archive/pre_pivot_diagnostics/simulation/sim_policy_summary.md; research/archive/PROGRESS_PRE_PIVOT.md; experiments/archive/SOTA_RUN_FINDINGS.md)
• Lesson:dwkv prompt seed bug  + (experiments/archive/pre_seed_fix/README.md; research/archive/PROGRESS_PRE_PIVOT.md; scripts/legacy/dwkv/run_online_experiment.py:212-321)
• Lesson:research autopilot 20260721t210001z  + (experiments/diversifier_outer_window_folds.py replayed on divsweep_pool_v3; deterministic (seed 20260721), reproduces docs/evidence/diversifier_outer_window_folds_v3.json byte-for-byte)
• Lesson:research autopilot 20260722t090001z  + (experiments/predict_working_set_knee.py (run_stability, --repeats) and committed receipt experiments/results/working_set_knee_cpu.json (experiment_id working_set_knee_predictor_v2_stability))
• Lesson:pivot-b200-20260717-portability-preflight-a01  + (experiments/protocols/final_v1.json sha256 … experiments/protocols/final_v1.json sha256=528c4a83e8dac516ab6898f9b73b652c348c14d9eb5c8a2eea1e965e50949c10; scripts/pivot_calibration/generation.py sha256=edbb06672e00f08c5501410168739b8997109600e98c6ac387b29ac528d44ff8; scripts/pivot_experiment/run_plan.py sha256=4331d3de24ca909048a414cb51b98f512351406c65626d54ad419bd4f2b9e0f4; scripts/pivot_experiment/cell_worker.py sha256=4cfeaf7ce6569763d900c9760a26ca54c7cdbba8207879f53147465ba8c14867760a26ca54c7cdbba8207879f53147465ba8c14867)
• Lesson:research autopilot 20260721t030001z  + (experiments/results/spill_resolving_power_v1.json: one reload-law-identifying family (rect-k32-j128), counter_divergence_ratio=4.0, timing_divergence_pp=39.33, primary_falsifiable_if_challenger_true=true; other three families divergence 0pp)
• Lesson:pivot-b200-20260717-portability-preflight-a01  + (experiments/runs/unreviewed/prerequisites/b200_2_model_manifest_preflight_v1.json sha256=cfa1b963e72ec934374357703eba0f46f6fe3309204ee5ee8298385cfc8d92fa)

• Lesson:pivot-b200-20260717-immutable-runtime-a01  + (git commit 038c9cd00c25fc83678d4d698f8780bfc5d96369)

• Lesson:pivot-b200-20260717-portable-pipeline-hash-a01  + (git commit 038c9cd00c25fc83678d4d698f8780bfc5d96369; scripts/pivot_calibration/common.py::pipeline_code_sha256)
• Lesson:pivot-b200-20260717-native-extension-boundary-a01  + (git commit 8ca2dbb68d202a8ba8b4ae226b64d77ec3e604ca; scripts/pivot_experiment/b200_migration_generation.py::_native_extension_sha256)
• Lesson:compare identical source envelopes at long run boundaries 5f58511d  + (git commit 99ccfb7b7 with source-envelope regression; 285 scripts tests passed and changed-file pre-commit passed)
• Lesson:bind only vllm rpc sockets to a short private path 4bf9d75f  + (git commit dd81c5ff9 and local test receipts: 34 focused passes, 283 full scripts passes, changed-file pre-commit pass)
• Lesson:pivot-b200-20260717-venv-launcher-identity-a01  + (git commit fd7f9bdb5817c497996b6c44c233010a743cdb74)
• Lesson:research autopilot 20260726t090001z  + (leave_one_shape_out on results/l40s_gpu3_bsr_dispatch.json (63 pts, 3 folds): parametric +2.6%/fs=0, nearest_lookup +22.2%/fs=9, exact-lookup=always_dense +15.0%, atlas +86.5%)
• Lesson:pivot-b200-20260717-portability-preflight-a01  + (research/EXPERIMENT_PROTOCOL_V1.md sha256=f0c5c62efbb57fa05e52786f814595b2a2812249cfa5a7ffff584f15e1ba793b; research/CALIBRATION_PIPELINE_V1.md sha256=25c0dc3642478b41936306c7dbbef9a0fb80f4f08e705d116325acf1eb17d194)
• Lesson:dwkv legacy patch not repro  + (research/archive/dwkv_v0.21.0.patch.RETRACTED.md; research/archive/README.md; scripts/legacy/dwkv/README.md; research/archive/dwkv_v0.21.0.patch)
• Lesson:dwkv doomed chase domino  + (scripts/legacy/dwkv/simulate_dwkv_policies.py:248-268; experiments/archive/SOTA_RUN_FINDINGS.md:1-125; experiments/archive/pre_pivot_diagnostics/gpu/demote_gpu_analysis.txt)
• Lesson:dwkv score code contract  + (scripts/legacy/dwkv/simulate_dwkv_policies.py:248-319; vllm/v1/core/sched/request_queue.py:461-552; tests/v1/core/test_dwkv_request_queue.py:65-126)
• Lesson:research autopilot 20260722t210001z  + (src/chirp_rate_gate_benchmark.py; results_rate_gate.json (334 s CPU, seeds 310..319 disjoint from all prior blocks))
• Lesson:research autopilot 20260719t210001z  + (src/lowering_policy.py: closed forms for instructions (4KJ vs 3KJ+J), FLOPs (8KJ−2K vs 6KJ−K+J), and MAXLIVE (2J+2 vs 3J+2), each checked against real scheduled instruction streams at all 100 grid shapes)
• Lesson:research autopilot 20260721t150001z  + (src/two_resource_gap.py self-test: 4,000 synthetic instances (n=6..12) + frozen 4-item contract counterexample, 0 structure/gap/round-down violations)
• Lesson:research autopilot 20260719t090001z  + (torch 2.13.0 CPU, best-of-9×50: FNO R = 1.2/1.3/1.5/1.7/2.6 across (B,Cin,Cout,M) from (32,32,32,16) to (4,512,512,32); k_bound 0.41→0.88, all <1)
• Lesson:research autopilot 20260720t030001z gpu  + (transition_form_cuda.json artifact from L40S GPU3 run)
• Lesson:vfpio a virtual i o abstraction for fpga accelerated i o devices dcc63d73  + (vFPIO: A Virtual I/O Abstraction for FPGA-accelerated I/O Devices. USENIX ATC 2024.)
• Lesson:gpu c88d9a4d  + (권상윤·안민우·정진규, 「인과관계 프로파일링의 가상 최적화를 이용한 GPU 커널 성능 향상 예측」, 한국소프트웨어종합학술대회(KSC), 2022.)
• Lesson:lsm tree a7410f58  + (김가을·안민우·고동현·정진규, 「LSM-Tree 기반 키-값 저장소에서 대용량 데이터 로딩 기법 성능 분석」, 한국컴퓨터종합학술대회(KCC), 2025.)
• Lesson:ufs bbe26b78  + (김나연·하승원·안민우·정진규, 「온디바이스 환경에서 UFS 저장장치를 활용하는 거대 언어 모델 추론 기법」, 한국컴퓨터종합학술대회(KCC), 2025.)
• Lesson:mp bcoz ea8563ba  + (김민준·김동오·안민우·정진규, 「MP-BCOZ: 멀티프로세스 응용 지원 인과관계 프로파일러」, 한국컴퓨터종합학술대회(KCC), 2025.)
• Lesson:lesson 907f0c60  + (김성윤·하성준·안민우·정진규, 「하이퍼스레딩 환경에서의 저장장치 입출력 폴링 태스크 배치 기법」, 한국컴퓨터종합학술대회(KCC), 2070–2072, 2019; 학부생부문 우수상.)
• Lesson:nvme prp zero copy 76cd53aa  + (김성환·이규선·정진규, 「NVMe PRP 오프셋을 이용한 Zero-copy 저장장치 읽기 기법」, 한국컴퓨터종합학술대회(KCC), 1432–1434, 2019.)
• Lesson:lesson 13ed6bae  + (김준·이준원·정진규, 「서브시스템의 빠른 구동을 위한 스냅샷 구동 기법 설계 및 구현」, 정보처리학회 컴퓨터 통신 및 시스템 3(7), 209–218, 2014.)
• Lesson:dram 8d56adf1  + (노재선·정진규, 「DRAM 없는 모바일 플래시 스토리지에서의 유효 페이지 추적 기법 연구」, 정보과학회논문지 52(5), 357–362, 2025; KSC 2023 최우수논문상.)
• Lesson:lesson 5fa267f2  + (성민철·권세준·정진규, 「메모리 부족상황에서 앱 실행시간에 관한 연구」, 한국정보과학회 동계학술발표회 논문집, 2015; 학부생부문 최우수상.)