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• Lesson:utopia fast and efficient address translation via hybrid restrictive flexible virtual to physica 796873cf  + (Konstantinos Kanellopoulos et al., "Utopia: Fast and Efficient Address Translation via Hybrid Restrictive & Flexible Virtual-to-Physical Address Mappings", MICRO 2023.)
• Lesson:kosmo efficient online miss ratio curve generation for eviction policy evaluation 96a524ff  + (Kosmo: Efficient Online Miss Ratio Curve Generation for Eviction Policy Evaluation. FAST 2024.)
• Lesson:fast flexible and practical kernel extensions 9eb8897f  + (Kumar Kartikeya Dwivedi et al., "Fast, Flexible, and Practical Kernel Extensions", SOSP 2024.)
• Lesson:fast flexible and practical kernel extensions 9eb8897f  + (Kumar Kartikeya Dwivedi et al., "Fast, Flexible, and Practical Kernel Extensions", SOSP 2024.)
• Lesson:rfuse modernizing userspace filesystem framework through scalable kernel userspace communication b3196db3  + (Kyu-Jin Cho et al., "RFUSE: Modernizing Userspace Filesystem Framework through Scalable Kernel-Userspace Communication", FAST 2024.)
• Lesson:rfuse modernizing userspace filesystem framework through scalable kernel userspace communication b3196db3  + (Kyu-Jin Cho et al., "RFUSE: Modernizing Userspace Filesystem Framework through Scalable Kernel-Userspace Communication", FAST 2024.)
• Lesson:research autopilot 20260718t030144z-gpu  + (L40S GPU 3 CUDA BSR dispatch benchmark artifact, SHA-256 46e66a48712b1134d8451b0166d237ee96da8eb61e7f1bf27bd786fa2ede3c72)
• Lesson:research autopilot 20260718t030144z-gpu  + (L40S GPU 3 FNO 3M crossover benchmark artifact, SHA-256 9042fd79fc0c38c25b8ee8bc917ec184ff2b66363fd8307e5d55019636882228)
• Lesson:research autopilot 20260718t030144z-gpu  + (L40S GPU 3 Triton rebase benchmark artifact, SHA-256 4c32759593d478f9e149da4241cb9a40c04af0d79a5bb3de649270ebe8e21f94)
• Lesson:research autopilot 20260718t030144z-gpu  + (L40S GPU 3 bf16 RoPE throughput benchmark artifact, SHA-256 dbc772c1857ef68d73737c3d7f01640f18360de553522edfa4d380a23d0a3aab)
• Lesson:research autopilot 20260718t030144z-gpu  + (L40S GPU 3 multi-LoRA calibration benchmark artifact, SHA-256 e7e05dfe21a502d42ced386e01a782bcba8a62ce283a7e9a9f9dc63e67d1dac9)
• 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.)