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• Lesson:kvaccel a novel write accelerator for lsm tree based kv stores with host ssd collaboration 968f5966  + (KVACCEL: A Novel Write Accelerator for LSM-Tree-Based KV Stores with Host-SSD Collaboration. IPDPS 2025.)
• Lesson:kvcache cache in the wild characterizing and optimizing kvcache cache at a large cloud provider 0b39b53c  + (KVCache Cache in the Wild: Characterizing and Optimizing KVCache Cache at a Large Cloud Provider. USENIX ATC 2025.)
• Lesson:kangaroo caching billions of tiny objects on flash 90226bd8  + (Kangaroo: Caching Billions of Tiny Objects on Flash. SOSP 2021.)
• Lesson:klotski efficient mixture of expert inference via expert aware multi batch pipeline bae4ea7b  + (Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline. ASPLOS 2025.)
• 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:legoos a disseminated distributed os for hardware resource disaggregation d71e3e68  + (LegoOS: A Disseminated, Distributed OS for Hardware Resource Disaggregation. OSDI 2018.)
• 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:lithos an operating system for efficient machine learning on gpus 76d95512  + (LithOS: An Operating System for Efficient Machine Learning on GPUs. SOSP 2025.)
• 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:managing memory tiers with cxl in virtualized environments 357c7cc7  + (Managing Memory Tiers with CXL in Virtualized Environments. OSDI 2024.)
• 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: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: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: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:technical review a performance stable numa management scheme for linux based hpc systems e846c351  + (Official article and author manuscript: https://doi.org/10.1109/ACCESS.2021.3069991)
• Lesson:omnicache collaborative caching for near storage accelerators 303fe963  + (OmniCache: Collaborative Caching for Near-storage Accelerators. FAST 2024.)
• Lesson:on performance stability in lsm based storage systems e473bf0c  + (On Performance Stability in LSM-based Storage Systems. PVLDB 2019.)
• Lesson:optimizing file systems on heterogeneous memory by integrating dram cache with virtual memory ma aaa7aa17  + (Optimizing File Systems on Heterogeneous Memory by Integrating DRAM Cache with Virtual Memory Management. FAST 2024.)
• Lesson:orca a distributed serving system for transformer based generative models 6bd2fa60  + (Orca: A Distributed Serving System for Transformer-Based Generative Models. OSDI 2022.)

• Lesson:overcoming the memory wall with cxl enabled ssds ef2155d6  + (Overcoming the Memory Wall with CXL-Enabled SSDs. USENIX ATC 2023.)

• Lesson:pact a criticality first design for tiered memory 20db3445  + (PACT: A Criticality-First Design for Tiered Memory. ASPLOS 2026.)
• Lesson:papi exploiting dynamic parallelism in large language model decoding with a processing in memory 5f9f53cc  + (PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System. ASPLOS 2025.)
• Lesson:pet proactive demotion for efficient tiered memory management e2185da3  + (PET: Proactive Demotion for Efficient Tiered Memory Management. EuroSys 2025.)
• Lesson:pit optimization of dynamic sparse deep learning models via permutation invariant transformation 48509ad0  + (PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation. SOSP 2023.)
• Lesson:pmr fast application response via parallel memory reclaim on mobile devices 4c59e491  + (PMR: Fast Application Response via Parallel Memory Reclaim on Mobile Devices. USENIX ATC 2025.)
• Lesson:pod attention unlocking full prefill decode overlap for faster llm inference caae5b3e  + (POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference. ASPLOS 2025.)
• Lesson:pvm efficient shadow paging for deploying secure containers in cloud native environment 7fee6654  + (PVM: Efficient Shadow Paging for Deploying Secure Containers in Cloud-native Environment. SOSP 2023.)
• Lesson:pacar improved buffered i o locality on numa systems with page cache replication adc0c538  + (PaCaR: Improved Buffered I/O Locality on NUMA Systems with Page Cache Replication. EuroSys 2026.)
• Lesson:paella low latency model serving with software defined gpu scheduling 47b175ce  + (Paella: Low-latency Model Serving with Software-defined GPU Scheduling. SOSP 2023.)
• Lesson:pivot-b200-20260717-tmux-argument-boundary-a01  + (Pane command-not-found at 2026-07-17; no global lock owner, no run directory, and zero B200 compute processes.)
• Lesson:partial failure resilient memory management system for cxl based distributed shared memory 48948c1d  + (Partial Failure Resilient Memory Management System for (CXL-based) Distributed Shared Memory. SOSP 2023.)
• Lesson:pegasus tolerating skewed workloads in distributed storage with in network coherence directories a4e8c8ec  + (Pegasus: Tolerating Skewed Workloads in Distributed Storage with In-Network Coherence Directories. OSDI 2020.)
• Lesson:phasedrr read reclaim scheduling without page level access counting 69578f95  + (PhasedRR: Read Reclaim Scheduling without Page-level Access Counting. MSST 2024.)
• Lesson:polymorphic error correction 25fcf9e1  + (Polymorphic Error Correction. MICRO 2024.)
• Lesson:predicting future system reliability with a component level dram fault model 1f248bb6  + (Predicting Future-System Reliability with a Component-Level DRAM Fault Model. MICRO 2023.)
• Lesson:prism optimizing key value store for modern heterogeneous storage devices 7e879d0a  + (Prism: Optimizing Key-Value Store for Modern Heterogeneous Storage Devices. ASPLOS 2023.)
• Lesson:pruneoff offloading lsm read path pruning in disaggregated key value stores f03d7e8e  + (PruneOff: Offloading LSM Read-Path Pruning in Disaggregated Key-Value Stores.)
• Lesson:improving application launch performance in smartphones using recurrent neural network 8cfcaeb5  + (Publication record 1: Andre Luiz Nunes Mar … Publication record 1: Andre Luiz Nunes Martins, Cesar A. V. Duarte, Jinkyu Jeong, "Improving Application Launch Performance in Smartphones Using Recurrent Neural Network," in Proceedings of the 2018 International Conference on Machine Learning Technologies (ICMLT 2018), Jinan, China, May 26-28, 2018.CMLT 2018), Jinan, China, May 26-28, 2018.)
• Lesson:efficient function call tracing with link time binary rewriting for ce devices 0fd13b41  + (Publication record 1: Bon-Keun Seo, Jinkyu Jeong, Joonwon Lee, and Euiseong Seo, "Efficient Function Call Tracing with Link-Time Binary Rewriting for CE Devices," IEEE Transactions on Consumer Electronics, vol. 59, no. 4, pp. 892-900, Nov. 2013)
• Lesson:a neural network accelerator for mobile application processors 72ce8850  + (Publication record 1: 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:catching two rabbits adaptive real time support for embedded linux ee13b80e  + (Publication record 1: 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  + (Publication record 1: Euiseong Seo, Jinkyu … Publication record 1: 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. 19, No. 11, pp. 1540-1552, November 2008)
• Lesson:nap natural app processing for predictive user contexts in mobile smartphones a3c20a54  + (Publication record 1: 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:a case for hardware based demand paging bdf187f5  + (Publication record 1: Gyusun Lee*, Wenjing … Publication record 1: Gyusun Lee*, Wenjing Jin*, Wonsuk Song, Jeonghun Gong, Jonghyun Bae, Tae Jun Ham, Jae W. Lee, and Jinkyu Jeong, "A Case for Hardware-based Demand Paging," in Proceedings of the 47th IEEE/ACM International Symposium on Computer Architecture (ISCA'20), Valencia, Spain, May 30-June 3, 2020. slides, video (* equally contributed)slides, video (* equally contributed))
• Lesson:transparent smartphone memory expansion 5ad5fd6a  + (Publication record 1: Gyusun Lee, Jinyong Park, Jae W. Lee, Jinkyu Jeong, "Transparent Smartphone Memory Expansion," in Proceedings of the The 40th ACM/SIGAPP Symposium On Applied Computing, March 31 - April 4, 2025)