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결과 목록

Lesson:ufs bbe26b78 + (Publication record 1: 김나연, 하승원, 안민우, 정진규, "온디바이스 환경에서 UFS 저장장치를 활용하는 거대 언어 모델 추론 기법", 2025 한국컴퓨터종합학술대회 (KCC 2025), 2025)
Lesson:mp bcoz ea8563ba + (Publication record 1: 김민준, 김동오, 안민우, 정진규, "MP-BCOZ: 멀티프로세스 응용 지원 인과관계 프로파일러", 2025 한국컴퓨터종합학술대회 (KCC 2025), 2025)
Lesson:lesson 907f0c60 + (Publication record 1: 김성윤, 하성준, 안민우, 정진규, "하이퍼스레딩 환경에서의 저장장치 입출력 폴링 태스크 배치 기법," 2019 한국컴퓨터종합학술대회 (KCC 2019), 한국정보과학회 학술 발표논문집 pp. 2070-2072, 2019 (우수상, 학부생부문))
Lesson:nvme prp zero copy 76cd53aa + (Publication record 1: 김성환, 이규선, 정진규, "NVMe PRP 오프셋을 이용한 Zero-copy 저장장치 읽기 기법," 2019 한국컴퓨터종합학술대회 (KCC 2019) , 한국정보과학회 학술발표논문집 pp. 1432-1434, 2019)
Lesson:lesson 13ed6bae + (Publication record 1: 김준, 이준원, 정진규, "서브시스템의 빠른 구동을 위한 스냅샷 구동 기법 설계 및 구현," 정보처리학회 컴퓨터 통신 및 시스템, 제 3권, 제 7호, pp. 209-218, 2014년 7월)
Lesson:dram 8d56adf1 + (Publication record 1: 노재선, 정진규, "DRAM 없는 모바일 플래시 스토리지에서의 유효 페이지 추적 기법 연구", 정보과학회논문지, vol.52, no.5, pp. 357-362, 2025 Publication record 2: 노재선, 정진규, "DRAM 없는 모바일 플래시 스토리지에서의 유효 페이지 추적 기법 연구", 2023 한국소프트웨어종합학술대회 (KSC), 2023 (최우수논문상))
Lesson:lesson 5fa267f2 + (Publication record 1: 성민철, 권세준, 정진규, "메모리 부족상황에서 앱 실행시간에 관한 연구", 한국정보과학회 동계학술발표회 논문집, 2015 (최우수상, 학부생부문))
Lesson:lesson 3f05b8ca + (Publication record 1: 신석하, 이규선, 정진규, "고성능 저장장치 환경에서의 비동기적 미리 읽기의 인터럽트 대리 처리 효용성 연구", 2017 한국소프트웨어종합학술대회 (KSC 2017), Dec. 20~22, 2017)
Lesson:bperf bcoz on cpu off cpu 3b259a81 + (Publication record 1: 안민우, 정진규. "bperf, BCOZ를 활용한 응용의 On-CPU, Off-CPU 동시 성능 프로파일링." 정보과학회지, vol. 43, no. 3, 2025, 42-49.)
Lesson:nvme bb91a49b + (Publication record 1: 우지원, 이규선, 정진규, "NVMe 다중 큐를 이용한 공정 분배 입출력 스케줄링 연구," 2019 한국컴퓨터종합학술대회 (KCC 2019) 한국정보과학회 학술발표논문집, pp. 1464- 1466, 2019)
Lesson:lesson 0960532f + (Publication record 1: 정진규, 서의성, "전력 상한 제한을 강제하는 수단으로써 동적 이전의 실효성 분석," 정보과학회논문지 시스템 및 이론, 제 39권, 제 4호, 2012년 8월)
Lesson:lesson 0bcd6499 + (Publication record 1: 정환진, 강태호, 김규석, 신영호, 정진규, "대용량 분산처리 플랫폼 공유 모델 연구," 정보과학회 컴퓨팅의 실제 논문지, 제 22권 제 11호, pp. 601-613, 2016년 11월)
Lesson:lsm tree 060db792 + (Publication record 1: 한정민, 안민우, 정진규. "LSM-Tree의 읽기 성능 개선을 위한 병렬적 필터/인덱스 접근 기법," 정보과학회 컴퓨팅의 실제 논문지, 제 29권, 제 9호, pp. 444-449, 2023년 9월)
Lesson:filter lsm tree 89fd8853 + (Publication record 1: 한정민,안민우,정진규, "병렬적인 Filter 접근 기법을 이용한 LSM-tree 읽기 성능 개선", 2022 한국소프트웨어종합학술대회 (KSC), 2022)
Lesson:rfuse modernizing userspace filesystem framework through scalable kernel userspace communication b3196db3 + (RFUSE: Modernizing Userspace Filesystem Framework through Scalable Kernel-Userspace Communication. FAST 2024.)
Lesson:rl watchdog a fast and predictable ssd liveness watchdog on storage systems a9a43b61 + (RL-Watchdog: A Fast and Predictable SSD Liveness Watchdog on Storage Systems. USENIX ATC 2024.)
Lesson:research autopilot 20260719t150001z + (Reference shape seq_len=16,d=1024,r=16,k=1 … Reference shape seq_len=16,d=1024,r=16,k=1024, fp32, single-thread, torch 2.13, CPU L3=32 MiB; models fit on N<=256, scored on far tail N=320..768; Second knee empirically at N 504->512 (Y/L3 0.984->1.000), jump ~1.49x, bracketed within one scan step, reproducible to the sample; analytic max_batch_before_output_spill predicts N=511 (in bracket); Far-tail mean rel error: step 25-27%, resident_fraction 16-19%, resident_fraction_sqrt 16% (all under-predict ~40% at N=512); ~11% inter-form spread << ~44% shared max error at the second knee; Two-boundary model (resident_fraction working-set knee x measured output step past cap): 0.8% mean / 2.0% max far-tail error; experiments/resolve_transition_form.py + committed transition_form_cpu.json + tests/test_transition_form.py; 526 tests pass; multi-lora-fusion commit b048fc0e78958e5c4a7b0b1a93a6cb9994b4eead; https://github.com/mrcha033/multi-lora-fusion/pull/1ead; https://github.com/mrcha033/multi-lora-fusion/pull/1)
Lesson:rubix randomized line to row mapping for low overhead rowhammer mitigations 4d122313 + (Rubix: Randomized Line-to-Row Mapping for Low-Overhead Rowhammer Mitigations. ASPLOS 2024.)
Lesson:perseus a fail slow detection framework for cloud storage system 4e24f100 + (Ruiming Lu et al., "Perseus: A Fail-Slow Detection Framework for Cloud Storage Systemss", FAST 2023. Source: https://www.usenix.org/conference/fast23/presentation/lu Verification basis: official_abstract. Canonical evidence ID: canonical-paper-v2-4e24f100)
Lesson:research autopilot 20260718t030144z-gpu + (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.)
Lesson:silk preventing latency spikes in log structured merge key value stores 8576916f + (SILK: Preventing Latency Spikes in Log-Structured Merge Key-Value Stores. USENIX ATC 2019.)
Lesson:stem streaming based fpga acceleration for large scale compactions in lsm kv d204166c + (STEM: Streaming-Based FPGA Acceleration for Large-Scale Compactions in LSM KV. ICDE 2024.)
Lesson:sti turbocharge nlp inference at the edge via elastic pipelining 99bb4c50 + (STI: Turbocharge NLP Inference at the Edge via Elastic Pipelining. ASPLOS 2023.)
Lesson:swam revisiting swap and oomk for improving application responsiveness on mobile devices 79b3b8a3 + (SWAM: Revisiting Swap and OOMK for Improving Application Responsiveness on Mobile Devices. MobiCom 2023.)
Lesson:scalaafa constructing user space all flash array engine with holistic designs 396837bd + (ScalaAFA: Constructing User-Space All-Flash Array Engine with Holistic Designs. USENIX ATC 2024.)

Lesson:scalable address spaces using concurrent interval skiplist d1f1b9c0 + (Scalable Address Spaces using Concurrent Interval Skiplist. SOSP 2025.)

Lesson:scalable billion point approximate nearest neighbor search using smartssds 3c4169e5 + (Scalable Billion-point Approximate Nearest Neighbor Search Using SmartSSDs. USENIX ATC 2024.)
Lesson:scalable far memory balancing faults and evictions edcf1536 + (Scalable Far Memory: Balancing Faults and Evictions. SOSP 2025.)
Lesson:scale and flexibility in distribution of hot content a83ac58f + (Scale and Flexibility in Distribution of Hot Content. OSDI 2022.)
Lesson:scalecache a scalable page cache for multiple solid state drives 60b5c227 + (ScaleCache: A Scalable Page Cache for Multiple Solid-State Drives. EuroSys 2024.)
Lesson:scaleswap a scalable os swap system for all flash swap arrays 4041bd54 + (ScaleSwap: A Scalable OS Swap System for All-Flash Swap Arrays. FAST 2026.)
Lesson:scalio scaling up dpu based jbof key value store with nvme of target offload 8db39764 + (Scalio: Scaling up DPU-based JBOF Key-value Store with NVMe-oF Target Offload. OSDI 2025.)
Lesson:midas minimizing write amplification in log structured systems through adaptive group number and 1cac80b9 + (Seonggyun Oh et al., "MIDAS: Minimizing Wr … Seonggyun Oh et al., "MIDAS: Minimizing Write Amplification in Log-Structured Systems through Adaptive Group Number and Size Configuration", FAST 2024.Source: https://www.usenix.org/conference/fast24/presentation/ohVerification basis: official_abstract.Canonical evidence ID: canonical-paper-v2-1cac80b9l evidence ID: canonical-paper-v2-1cac80b9)
Lesson:serverless in the wild characterizing and optimizing the serverless workload at a large cloud pr f2fa1121 + (Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider. USENIX ATC 2020.)
Lesson:serverlessllm low latency serverless inference for large language models 69b8cd6d + (ServerlessLLM: Low-Latency Serverless Inference for Large Language Models. OSDI 2024.)
Lesson:shiftlock mitigate one sided rdma lock contention via handover a5d67e63 + (ShiftLock: Mitigate One-sided RDMA Lock Contention via Handover. FAST 2025.)
Lesson:siloz leveraging dram isolation domains to prevent inter vm rowhammer 9d15762c + (Siloz: Leveraging DRAM Isolation Domains to Prevent Inter-VM Rowhammer. SOSP 2023.)
Lesson:pivot-b200-20260717-immutable-runtime-a01 + (Source commit 038c9cd00c25fc83678d4d698f87 … Source commit 038c9cd00c25fc83678d4d698f8780bfc5d96369; package SHA-256 1ec47d04bc7a0c8ba60f0c3ee615ce0bc9d3026dcbd491c8587a7b5cd65bf781; native SHA-256 0e9b15201e3a6b57a759d138d45098d556b1298ede260dc2388e63e43f83b250; 282 offline pivot tests, 75 scheduler tests, 55 focused tests, and pre-commit passed., 55 focused tests, and pre-commit passed.)
Lesson:pivot-b200-20260717-portable-pipeline-hash-a01 + (Source commit 038c9cd00c25fc83678d4d698f8780bfc5d96369; final calibration pipeline SHA-256 e53f9fca2af42180a8b2b834987788f19e70951e6f2e9d5854e4b81abc13d82e; focused portability tests and full offline suite passed.)
Lesson:pivot-b200-20260717-native-extension-boundary-a01 + (Source commit 8ca2dbb68d202a8ba8b4ae226b64d77ec3e604ca; failure before bundle creation and GPU compute; logical modules and external target byte hashes independently inspected.)
Lesson:specinfer accelerating generative large language model serving with tree based speculative infer e609aa25 + (SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification. ASPLOS 2024.)
Lesson:speed is all you need on device acceleration of large diffusion models via gpu aware optimizatio c53959fd + (Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations. arXiv 2023.)
Lesson:usher holistic interference avoidance for resource optimized ml inference 74231fc1 + (Sudipta Saha Shubha et al., "USHER: Holist … Sudipta Saha Shubha et al., "USHER: Holistic Interference Avoidance for Resource Optimized ML Inference", OSDI 2024.Source: https://www.usenix.org/conference/osdi24/presentation/shubhaVerification basis: official_abstract.Canonical evidence ID: canonical-paper-v2-74231fc1l evidence ID: canonical-paper-v2-74231fc1)
Lesson:symbiosis the art of application and kernel cache cooperation 168e4171 + (Symbiosis: The Art of Application and Kernel Cache Cooperation. FAST 2024.)
Lesson:taming throughput latency tradeoff in llm inference with sarathi serve cf395778 + (Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve. OSDI 2024.)
Lesson:tectonic shift a composite storage fabric for large scale ml training 38266738 + (Tectonic-Shift: A Composite Storage Fabric for Large-Scale ML Training. USENIX ATC 2023.)
Lesson:telescope telemetry for gargantuan memory footprint applications 6a766ffb + (Telescope: Telemetry for Gargantuan Memory Footprint Applications. USENIX ATC 2024.)
Lesson:the cost of dynamic reasoning demystifying ai agents and test time scaling from an ai infrastruc 6d6dff58 + (The Cost of Dynamic Reasoning: Demystifying AI Agents and Test-Time Scaling from an AI Infrastructure Perspective. arXiv 2025.)
Lesson:the design and implementation of a capacity variant storage system 91c1817e + (The Design and Implementation of a Capacity-Variant Storage System. FAST 2024.)
Lesson:tierscape harnessing multiple compressed tiers to tame server memory tco 9ed9ed0d + (TierScape: Harnessing Multiple Compressed Tiers to Tame Server Memory TCO. EuroSys 2026.)
Lesson:tiered memory management beyond hotness 6ad152df + (Tiered Memory Management Beyond Hotness. OSDI 2025.)