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결과 목록

Lesson:research autopilot 20260718t030144z-gpu + (L40S GPU 3 shape-adaptive attention CUDA Graph benchmark artifact, SHA-256 a8ae28901cf5d4cab7db2058c299a3ebed9598e2ae4251f704f04f32d0d2177e)
Lesson:shape adaptive attention negative 20260722 + (L40S controlled portfolio and CUDA Graph b … L40S controlled portfolio and CUDA Graph benchmark artifacts reviewed from shape-adaptive-attention; portfolio source bundle SHA-256 1185339433cb5312deb006650f883b5553232029355787dd37d9991b572fa1c6 and graph artifact SHA-256 a8ae28901cf5d4cab7db2058c299a3ebed9598e2ae4251f704f04f32d0d2177e58c299a3ebed9598e2ae4251f704f04f32d0d2177e)
Lesson:lsm tree a7410f58 + (LSM-Tree bulk data loading performance analysis. KCC 2025.)
Lesson:characterizing mobile soc for accelerating heterogeneous llm inference 6b900bb7 + (Le Chen; Dahu Feng; Erhu Feng; Yingrui Wang; Rong Zhao; Yubin Xia; Pinjie Xu; Haibo Chen. Characterizing Mobile SoC for Accelerating Heterogeneous LLM Inference. SOSP, 2025.)
Lesson:characterizing mobile soc for accelerating heterogeneous llm inference 6b900bb7 + (Le Chen; Dahu Feng; Erhu Feng; Yingrui Wang; Rong Zhao; Yubin Xia; Pinjie Xu; Haibo Chen. Characterizing Mobile SoC for Accelerating Heterogeneous LLM Inference. SOSP, 2025.)
Lesson:legoos a disseminated distributed os for hardware resource disaggregation d71e3e68 + (LegoOS: A Disseminated, Distributed OS for Hardware Resource Disaggregation. OSDI 2018.)
Lesson:phasedrr read reclaim scheduling without page level access counting 69578f95 + (Li Cai et al., "PhasedRR: Read Reclaim Scheduling without Page-level Access Counting", MSST 2024.)
Lesson:phasedrr read reclaim scheduling without page level access counting 69578f95 + (Li Cai et al., "PhasedRR: Read Reclaim Scheduling without Page-level Access Counting", MSST 2024.)
Lesson:light dedup a light weight inline deduplication framework for non volatile memory file systems 000ae22e + (Light-Dedup: A Light-weight Inline Deduplication Framework for Non-Volatile Memory File Systems. USENIX ATC 2023.)
Lesson:nomad non exclusive memory tiering via transactional page migration 3990fa86 + (Lingfeng Xiang et al., "NOMAD: Non-Exclusive Memory Tiering via Transactional Page Migration", OSDI 2024.)
Lesson:nomad non exclusive memory tiering via transactional page migration 3990fa86 + (Lingfeng Xiang et al., "Nomad: Non-Exclusive Memory Tiering via Transactional Page Migration", OSDI 2024.)
Lesson:lithos an operating system for efficient machine learning on gpus 76d95512 + (LithOS: An Operating System for Efficient Machine Learning on GPUs. SOSP 2025 workshop 2025.)
Lesson:sti turbocharge nlp inference at the edge via elastic pipelining 99bb4c50 + (Liwei Guo et al., "STI: Turbocharge NLP Inference at the Edge via Elastic Pipelining", ASPLOS 2023.)
Lesson:sti turbocharge nlp inference at the edge via elastic pipelining 99bb4c50 + (Liwei Guo et al., "STI: Turbocharge NLP Inference at the Edge via Elastic Pipelining", ASPLOS 2023.)
Lesson:loom efficient capture and querying of high frequency telemetry bbcbd611 + (Loom: Efficient Capture and Querying of High-Frequency Telemetry.)
Lesson:m5 mastering page migration and memory management for cxl based tiered memory systems 4e752168 + (M5: Mastering Page Migration and Memory Management for CXL-based Tiered Memory Systems. ASPLOS 2025.)
Lesson:moat securely mitigating rowhammer with per row activation counters 6e5ed0e1 + (MOAT: Securely Mitigating Rowhammer with Per-Row Activation Counters. ASPLOS 2025.)
Lesson:mp bcoz ea8563ba + (MP-BCOZ multi-process causal profiler. KCC 2025.)
Lesson:managing memory tiers with cxl in virtualized environments 357c7cc7 + (Managing Memory Tiers with CXL in Virtualized Environments. OSDI 2024.)
Lesson:tectonic shift a composite storage fabric for large scale ml training 38266738 + (Mark Zhao et al., "Tectonic-Shift: A Composite Storage Fabric for Large-Scale ML Training", USENIX ATC 2023.)
Lesson:tectonic shift a composite storage fabric for large scale ml training 38266738 + (Mark Zhao et al., "Tectonic-Shift: A Composite Storage Fabric for Large-Scale ML Training", USENIX ATC 2023.)
Lesson:midas minimizing write amplification in log structured systems through adaptive group number and 1cac80b9 + (MiDAS: Minimizing Write Amplification in Log-Structured Systems through Adaptive Group Number and Size Configuration. FAST 2024.)
Lesson:towards efficient flash caches with emerging nvme flexible data placement ssds 8683a6eb + (Michael Allison et al., "FDP: Flexible Data Placement for Flash Caches", EuroSys 2025.)
Lesson:towards efficient flash caches with emerging nvme flexible data placement ssds 8683a6eb + (Michael Allison et al., "Towards Efficient Flash Caches with Emerging NVMe Flexible Data Placement SSDs", EuroSys 2025.)
Lesson:tiered memory management access latency is the key aaf24437 + (Midhul Vuppalapati et al., "Tiered Memory Management: Access Latency is the Key!", SOSP 2024.)
Lesson:tiered memory management access latency is the key aaf24437 + (Midhul Vuppalapati et al., "Tiered Memory Management: Access Latency is the Key!", SOSP 2024.)

Lesson:avoiding read stalls on flash storage 34c6809a + (Mijin An et al., "Avoiding Read Stalls on Flash Storage", SIGMOD 2022.)
Lesson:avoiding read stalls on flash storage 34c6809a + (Mijin An et al., "Avoiding Read Stalls on Flash Storage", SIGMOD 2022.)

Lesson:minflow high performance and cost efficient data passing for i o intensive stateful serverless a 886ce161 + (MinFlow: High-performance and Cost-efficient Data Passing for I/O-intensive Stateful Serverless Analytics. FAST 2024.)
Lesson:following the data not the function rethinking function orchestration in serverless computing 5edeca75 + (Minchen Yu et al., "Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing", NSDI 2023.)
Lesson:following the data not the function rethinking function orchestration in serverless computing 5edeca75 + (Minchen Yu et al., "Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing", NSDI 2023.)
Lesson:partial failure resilient memory management system for cxl based distributed shared memory 48948c1d + (Mingxing Zhang et al., "Partial Failure Resilient Memory Management System for (CXL-based) Distributed Shared Memory", SOSP 2023.)
Lesson:partial failure resilient memory management system for cxl based distributed shared memory 48948c1d + (Mingxing Zhang et al., "Partial Failure Resilient Memory Management System for (CXL-based) Distributed Shared Memory", SOSP 2023.)
Lesson:scoz a systemwide causal profiler for multicore systems 7b5e72e2 + (Minwoo Ahn, Donghyun Kim, Taekeun Nam, Jinkyu Jeong, "SCOZ: A System‐wide Causal Profiler for Multicore Systems" Software: Practice and Experience, vol. 51, issue 5, pp. 1043-1058, May 2021, doi:10.1002/spe.2930)
Lesson:scoz a systemwide causal profiler for multicore systems 7b5e72e2 + (Minwoo Ahn, Donghyun Kim, Taekeun Nam, Jinkyu Jeong, "SCOZ: A System‐wide Causal Profiler for Multicore Systems," Software: Practice and Experience, vol. 51, issue 5, pp. 1043-1058, May 2021, doi:10.1002/spe.2930)
Lesson:identifying on off cpu bottlenecks together with blocked samples 1f04444a + (Minwoo Ahn, Jeongmin Han, Youngjin Kwon, Jinkyu Jeong, "Identifying On-/Off-CPU Bottlenecks Together with Blocked Samples" in Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI '24), July 2024)
Lesson:identifying on off cpu bottlenecks together with blocked samples 1f04444a + (Minwoo Ahn, Jeongmin Han, Youngjin Kwon, Jinkyu Jeong, "Identifying On-/Off-CPU Bottlenecks Together with Blocked Samples," in Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI '24), July 2024)
Lesson:mitigating application resource overload with targeted task cancellation 90270bf8 + (Mitigating Application Resource Overload with Targeted Task Cancellation. SOSP 2025.)
Lesson:mitigating resource usage dependency in sorting based kv stores on hybrid storage devices via op 31cbb8ad + (Mitigating Resource Usage Dependency in Sorting-based KV Stores on Hybrid Storage Devices via Operation Decoupling. USENIX ATC 2025.)
Lesson:moe lightning high throughput moe inference on memory constrained gpus e51b6b29 + (MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs. ASPLOS 2025.)
Lesson:serverless in the wild characterizing and optimizing the serverless workload at a large cloud pr f2fa1121 + (Mohammad Shahrad et al., "Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider", USENIX ATC 2020.)
Lesson:serverless in the wild characterizing and optimizing the serverless workload at a large cloud pr f2fa1121 + (Mohammad Shahrad et al., "Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider", USENIX ATC 2020.)
Lesson:moat securely mitigating rowhammer with per row activation counters 6e5ed0e1 + (Moinuddin Qureshi et al., "MOAT: Securely Mitigating Rowhammer with Per-Row Activation Counters", ASPLOS 2025.)
Lesson:moat securely mitigating rowhammer with per row activation counters 6e5ed0e1 + (Moinuddin Qureshi et al., "MOAT: Securely Mitigating Rowhammer with Per-Row Activation Counters", ASPLOS 2025.)
Lesson:nomad non exclusive memory tiering via transactional page migration 3990fa86 + (NOMAD: Non-Exclusive Memory Tiering via Transactional Page Migration. OSDI 2024.)
Lesson:nanoflow towards optimal large language model serving throughput f0633332 + (NanoFlow: Towards Optimal Large Language Model Serving Throughput. OSDI 2025.)
Lesson:pit optimization of dynamic sparse deep learning models via permutation invariant transformation 48509ad0 + (Ningxin Zheng; Huiqiang Jiang; Quanlu Zhang; Zhenhua Han; Lingxiao Ma; Yuqing Yang; Fan Yang; Chengrui Zhang; Lili Qiu; Mao Yan. PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation. SOSP 2023, 2023.)
Lesson:pit optimization of dynamic sparse deep learning models via permutation invariant transformation 48509ad0 + (Ningxin Zheng; Huiqiang Jiang; Quanlu Zhang; Zhenhua Han; Lingxiao Ma; Yuqing Yang; Fan Yang; Chengrui Zhang; Lili Qiu; Mao Yan.... PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation. SOSP 2023, 2023.)
Lesson:technical review dram 0a5cae63 + (No and Jeong, valid-page tracking for DRAM-less mobile flash storage, Journal of KIISE 52(5), 2025.)
Lesson:not a dpu in name only unleashing rdma capable dpus in multi tenant serverless clouds with nadin 7031318c + (Not A DPU in Name Only! Unleashing RDMA-capable DPUs in Multi-Tenant Serverless Clouds with NADINO. EuroSys 2026.)
Lesson:ozz identifying kernel out of order concurrency bugs with in vivo memory access reordering 0b85f639 + (OZZ: Identifying Kernel Out-of-Order Concurrency Bugs with In-Vivo Memory Access Reordering. SOSP 2024.)
Lesson:silk preventing latency spikes in log structured merge key value stores 8576916f + (Oana Balmau; Florin Dinu; Willy Zwaenepoel; Karan Gupta; Ravishankar Chandhiramoorthi; Diego Didona. SILK: Preventing Latency Spikes in Log-Structured Merge Key-Value Stores. USENIX ATC, 2019.)