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• 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.)
• 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.)

• Lesson:technical review improving application launch performance in smartphones using recurrent neural 47c597b7  + (Official publication source used for technical review.)
• Lesson:technical review transparent and selective real time interrupt services for performance improvem b78f264b  + (Official publication source used for technical review.)

• 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:breakhammer enhancing rowhammer mitigations by carefully throttling suspect threads 19eb947b  + (Oğuzhan Canpolat et al., "BreakHammer: Enhancing RowHammer Mitigations by Carefully Throttling Suspect Threads", MICRO 2024.)
• Lesson:breakhammer enhancing rowhammer mitigations by carefully throttling suspect threads 19eb947b  + (Oğuzhan Canpolat et al., "BreakHammer: Enabling Scalable and Low Overhead RowHammer Mitigations via Throttling Preventive Action Triggering Threads", MICRO 2024.)
• 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:filter lsm tree 89fd8853  + (Parallel filter access for LSM-Tree read performance. KSC 2022.)
• Lesson:lsm tree 060db792  + (Parallel filter/index access for LSM-Tree reads. KIISE Transactions on Computing Practices 29(9), 444-449, 2023.)
• 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:lithos an operating system for efficient machine learning on gpus 76d95512  + (Patrick H. Coppock; Brian Zhang; Eliot H. Solomon; Vasileios Kypriotis; Leon Yang; Bikash Sharma; Dan Schatzberg; Todd C. Mowry.... LithOS: An Operating System for Efficient Machine Learning on GPUs. SOSP, 2025.)
• Lesson:lithos an operating system for efficient machine learning on gpus 76d95512  + (Patrick H. Coppock; Brian Zhang; Eliot H. Solomon; Vasileios Kypriotis; Leon Yang; Bikash Sharma; Dan Schatzberg; Todd C. Mowry. LithOS: An Operating System for Efficient Machine Learning on GPUs. SOSP, 2025.)
• 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:perseus a fail slow detection framework for cloud storage system 4e24f100  + (Perseus: A Fail-Slow Detection Framework for Cloud Storage System. FAST 2023.)
• Lesson:phasedrr read reclaim scheduling without page level access counting 69578f95  + (PhasedRR: Read Reclaim Scheduling without Page-level Access Counting. MSST 2024.)