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결과 목록

• Lesson:stem streaming based fpga acceleration for large scale compactions in lsm kv d204166c  + (Dongdong Tang et al., "STEM: Streaming-Based FPGA Acceleration for Large-Scale Compactions in LSM KV", ICDE 2024.)
• Lesson:a neural network accelerator for mobile application processors 72ce8850  + (Doo Young Kim, Jin Min Kim, Hakbeom Jang, Jinkyu Jeong, and Jae W. Lee, "A Neural Network Accelerator for Mobile Application Processors" IEEE Transactions on Consumer Electronics, vol. 61, no. 4, pp. 555-563, Nov. 2015)
• Lesson:a neural network accelerator for mobile application processors 72ce8850  + (Doo Young Kim, Jin Min Kim, Hakbeom Jang, Jinkyu Jeong, and Jae W. Lee, "A Neural Network Accelerator for Mobile Application Processors," IEEE Transactions on Consumer Electronics, vol. 61, no. 4, pp. 555-563, Nov. 2015)
• Lesson:shape adaptive attention negative 20260722  + (Draft PR for the bounded shape-adaptive attention study)
• Lesson:emt an os framework for new memory translation architectures 6d3356f6  + (EMT: An OS Framework for New Memory Translation Architectures. OSDI 2025.)
• Lesson:pivot-b200-20260717-native-extension-boundary-a01  + (Effective vLLM package inventory on source commit 8ca2dbb68d202a8ba8b4ae226b64d77ec3e604ca)
• Lesson:lesson 0960532f  + (Effectiveness of live migration for enforcing power caps. Journal of KIISE: System and Theory 39(4), 2012.)
• Lesson:efficient memory overcommitment for i o passthrough enabled vms via fine grained page meta data d32f4845  + (Efficient Memory Overcommitment for I/O Passthrough Enabled VMs via Fine-grained Page Meta-data Management. USENIX ATC 2023.)
• Lesson:enabling high performance and secure userspace nvm file systems with the trio architecture d59d00b6  + (Enabling High-Performance and Secure Userspace NVM File Systems with the Trio Architecture. SOSP 2023.)
• Lesson:evendb optimizing key value storage for spatial locality 7beea059  + (Eran Gilad et al., "EvenDB: Optimizing Key-Value Storage for Spatial Locality", EuroSys 2020.)
• Lesson:evendb optimizing key value storage for spatial locality 7beea059  + (Eran Gilad et al., "EvenDB: Optimizing Key-Value Storage for Spatial Locality", EuroSys 2020.)
• Lesson:energy efficient scheduling of real time tasks on multicore processors a70b387a  + (Euiseong Seo, Jinkyu Jeong, Seonyeong Park, and Joonwon Lee, "Energy Efficient Scheduling of Real-Time Tasks on Multicore Processors" IEEE Transactions on Parallel and Distributed Systems, Vol. 19, No. 11, pp. 1540-1552, November 2008)
• Lesson:catching two rabbits adaptive real time support for embedded linux ee13b80e  + (Euiseong Seo, Jinkyu Jeong, Seonyeong Park, Jinsoo Kim, and Joonwon Lee, "Catching Two Rabbits: Adaptive Real-Time Support for Embedded Linux," Software: Practice and Experience, Vol. 39, No. 5, pp. 531-550, April 2009)
• Lesson:catching two rabbits adaptive real time support for embedded linux ee13b80e  + (Euiseong Seo, Jinkyu Jeong, Seonyeong Park, Jinsoo Kim, and Joonwon Lee, "Catching Two Rabbits: Adaptive Real-Time Support for Embedded Linux" Software: Practice and Experience, Vol. 39, No. 5, pp. 531-550, April 2009)
• Lesson:energy efficient scheduling of real time tasks on multicore processors a70b387a  + (Euiseong Seo, Jinkyu Jeong, Seonyeong Park, and Joonwon Lee, "Energy Efficient Scheduling of Real-Time Tasks on Multicore Processors," IEEE Transactions on Parallel and Distributed Systems, Vol. 19, No. 11, pp. 1540-1552, November 2008)
• Lesson:evendb optimizing key value storage for spatial locality 7beea059  + (EvenDB: Optimizing Key-Value Storage for Spatial Locality. EuroSys 2020.)
• Lesson:polymorphic error correction 25fcf9e1  + (Evgeny Manzhosov et al., "Polymorphic Error Correction", MICRO 2024.)
• Lesson:polymorphic error correction 25fcf9e1  + (Evgeny Manzhosov et al., "Polymorphic Error Correction", MICRO 2024.)
• Lesson:exoflow a universal workflow system for exactly once dags d9d62c90  + (ExoFlow: A Universal Workflow System for Exactly-Once DAGs. OSDI 2023.)
• Lesson:research autopilot 20260720t030001z gpu  + (Exploratory MLIR occupancy artifact; rectangular/tiled target not measured)
• Lesson:exploring the asynchrony of slow memory filesystem with easyio 0952deee  + (Exploring the Asynchrony of Slow Memory Filesystem with EasyIO. EuroSys 2024.)
• Lesson:extmem enabling application aware virtual memory management for data intensive applications 8a6dc0e4  + (ExtMem: Enabling Application-Aware Virtual Memory Management for Data-Intensive Applications. USENIX ATC 2024.)
• Lesson:extending applications safely and efficiently 7a5f9f65  + (Extending Applications Safely and Efficiently. OSDI 2025.)
• Lesson:understanding and mitigating covert and side channel vulnerabilities introduced by rowhammer def 0e272653  + (F. Nisa Bostanci; Oguzhan Canpolat; Ataberk Olgun; Ismail Emir Yüksel; Konstantinos Kanellopoulos; Mohammad Sadrosadati; Abdull. Understanding and Mitigating Covert Channel and Side Channel Vulnerabilities Introduced by RowHammer Defenses. MICRO, 2025.)
• Lesson:understanding and mitigating covert and side channel vulnerabilities introduced by rowhammer def 0e272653  + (F. Nisa Bostanci; Oguzhan Canpolat; Ataberk Olgun; Ismail Emir Yüksel; Konstantinos Kanellopoulos; Mohammad Sadrosadati; Abdull.... Understanding and Mitigating Covert Channel and Side Channel Vulnerabilities Introduced by RowHammer Defenses. MICRO, 2025.)

• Lesson:fifo queues are all you need for cache eviction ebc30306  + (FIFO Queues are All You Need for Cache Eviction. SOSP 2023.)

• Lesson:fifo queues are all you need for cache eviction ebc30306  + (FIFO queues are all you need for cache eviction. Juncheng Yang et al., "FIFO Queues Are All You Need for Cache Eviction", SOSP 2023.)
• Lesson:faasmem improving memory efficiency of serverless computing with memory pool architecture b6ab9eec  + (FaaSMem: Improving Memory Efficiency of Serverless Computing with Memory Pool Architecture. ASPLOS 2024.)
• Lesson:nvme bb91a49b  + (Fair-distribution I/O scheduling with NVMe multi-queues. KCC 2019, 1464-1466.)
• Lesson:fast trapless kernel probes everywhere 781e739b  + (Fast (Trapless) Kernel Probes Everywhere. USENIX ATC 2024.)
• Lesson:fast core scheduling with userspace process abstraction d1ea9f62  + (Fast Core Scheduling with Userspace Process Abstraction. SOSP 2024.)
• Lesson:fast on device llm inference with npus deecd917  + (Fast On-device LLM Inference with NPUs. ASPLOS 2025.)
• Lesson:fast flexible and practical kernel extensions 9eb8897f  + (Fast, Flexible, and Practical Kernel Extensions. SOSP 2024.)
• Lesson:fetchbpf customizable prefetching policies in linux with ebpf 9756cb90  + (FetchBPF: Customizable Prefetching Policies in Linux with eBPF. USENIX ATC 2024.)
• Lesson:fleetio managing multi tenant cloud storage with multi agent reinforcement learning 714ca9fb  + (FleetIO: Managing Multi-Tenant Cloud Storage with Multi-Agent Reinforcement Learning. ASPLOS 2025.)
• Lesson:flexmem adaptive page profiling and migration for tiered memory 43991e2a  + (FlexMem: Adaptive Page Profiling and Migration for Tiered Memory. USENIX ATC 2024.)
• Lesson:following the data not the function rethinking function orchestration in serverless computing 5edeca75  + (Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing. NSDI 2023.)
• Lesson:loom efficient capture and querying of high frequency telemetry bbcbd611  + (Franco Solleza; Shihang Li; William Sun; Richard Tang; Malte Schwarzkopf; Andrew Crotty; David Cohen; Nesime Tatbul; Stan Zdonik. Loom: Efficient Capture and Querying of High-Frequency Telemetry. SOSP, 2025.)
• Lesson:loom efficient capture and querying of high frequency telemetry bbcbd611  + (Franco Solleza; Shihang Li; William Sun; Richard Tang; Malte Schwarzkopf; Andrew Crotty; David Cohen; Nesime Tatbul; Stan Zdonik. Loom: Efficient Capture and Querying of High-Frequency Telemetry. SOSP, 2025.)
• Lesson:gpu c88d9a4d  + (GPU kernel speedup prediction using causal profiling virtual speedups. KSC 2022.)
• Lesson:gqa training generalized multi query transformer models from multi head checkpoints a6839ee2  + (GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints. ACL 2023.)
• Lesson:nap natural app processing for predictive user contexts in mobile smartphones a3c20a54  + (Gabriel S. Moreira, Heeseung Jo, and Jinkyu Jeong, "NAP: Natural App Processing for Predictive User Contexts in Mobile Smartphones," Applied Sciences, Vol. 10, Issue. 19, Article-No. 6657, Sep. 2020, doi:10.3390/app10196657)
• Lesson:nap natural app processing for predictive user contexts in mobile smartphones a3c20a54  + (Gabriel S. Moreira, Heeseung Jo, and Jinkyu Jeong, "NAP: Natural App Processing for Predictive User Contexts in Mobile Smartphones" Applied Sciences, Vol. 10, Issue. 19, Article-No. 6657, Sep. 2020, doi:10.3390/app10196657)
• Lesson:swam revisiting swap and oomk for improving application responsiveness on mobile devices 79b3b8a3  + (Geunsik Lim et al., "SWAM: Revisiting Swap and OOMK for Improving Application Responsiveness on Mobile Devices", MobiCom 2023.)
• Lesson:swam revisiting swap and oomk for improving application responsiveness on mobile devices 79b3b8a3  + (Geunsik Lim et al., "SWAM: Revisiting Swap and OOMK for Improving Application Responsiveness on Mobile Devices", MobiCom 2023.)
• Lesson:unfaasner latency and cost aware offloading of functions from serverless platforms bc32c3a4  + (Ghazal Sadeghian et al., "UnFaaSener: Latency and Cost Aware Offloading of Functions from Serverless Platforms", USENIX ATC 2023.)
• Lesson:unfaasner latency and cost aware offloading of functions from serverless platforms bc32c3a4  + (Ghazal Sadeghian et al., "UnFaaSener: Latency and Cost Aware Offloading of Functions from Serverless Platforms", USENIX ATC 2023.)
• Lesson:research autopilot 20260718t030144z-gpu  + (GitHub mrcha033/algebraic-ml-compiler commit e5034b987d55d449dbb0ca296c24097aba49422b)
• Lesson:research autopilot 20260723t090001z-gpu  + (GitHub mrcha033/algebraic-ml-compiler commit e5034b987d55d449dbb0ca296c24097aba49422b)
• Lesson:research autopilot 20260720t090001z  + (GitHub mrcha033/alpha-factory commit 2da70a23ca89185cdbd3f40794c29c6dbc8e03c9)
• Lesson:research autopilot 20260723t030001z  + (GitHub mrcha033/alpha-factory commit 5d8056d20c493207215a9d679f492dc81588c598)