Jae W. Lee

127 papers A* 40A 14B 9C 3Misc 4Journal 42Unranked 15
YearRankTypeTitle / Venue / Authors
2026 — conf
GS-Scale: Unlocking Large-Scale 3D Gaussian Splatting Training via Host Offloading.
ASPLOS (2)
Donghyun Lee, Dawoon Jeong, Jae W. Lee, Hongil Yoon
2026 J jnl
MAGE: All-[MASK] Block Already Knows Where to Look in Diffusion LLM.
CoRR
Omin Kwon, Yeonjae Kim, Doyeon Kim, Minseo Kim, Yeonhong Park, Jae W. Lee
2026 A* conf
MemSOS: OS-Guided Selective Memory Mirroring.
HPCA
Junghoon Kim, Jongheon Jeong, Seokwon Moon, Seong Hoon Seo, Yeonhong Park, Jinkyu Jeong, Nam Sung Kim, Jae W. Lee
2025 J jnl
AiDE: Attention-FFN Disaggregated Execution for Cost-Effective LLM Decoding on CXL-PNM.
IEEE Comput. Archit. Lett.
Kyungsoo Kim, Omin Kwon, Yeonhong Park, Jae W. Lee
2025 A* conf
Angular Distance-Guided Neighbor Selection for Graph-Based Approximate Nearest Neighbor Search.
WWW
Sungjun Jung, Yongsang Park, Haeun Lee, Young H. Oh, Jae W. Lee
2025 B conf
CPC: Coordinated Page Cache for Serverless Computing.
PACT
Keun Soo Lim, Yunjay Hong, Jongheon Jeong, Sam Son, Donguk Kim, Yeonhong Park, Jae W. Lee, Jinkyu Jeong
2025 J jnl
DP-LLM: Runtime Model Adaptation with Dynamic Layer-wise Precision Assignment.
CoRR
Sangwoo Kwon, Seong Hoon Seo, Jae W. Lee, Yeonhong Park
2025 A* conf
DecDEC: A Systems Approach to Advancing Low-Bit LLM Quantization.
OSDI
Yeonhong Park, Jake Hyun, Hojoon Kim, Jae W. Lee
2025 A* conf
FACIL: Flexible DRAM Address Mapping for SoC-PIM Cooperative On-device LLM Inference.
HPCA
Seong Hoon Seo, Junghoon Kim, Donghyun Lee, Seonah Yoo, Seokwon Moon, Yeonhong Park, Jae W. Lee
2025 J jnl
FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction.
CoRR
Donghyun Lee, Dawoon Jeong, Jae W. Lee, Hongil Yoon
2025 A* conf
FlashTP: Fused, Sparsity-Aware Tensor Product for Machine Learning Interatomic Potentials.
ICML
Seung Yul Lee, Hojoon Kim, Yutack Park, Dawoon Jeong, Seungwu Han, Yeonhong Park, Jae W. Lee
2025 J jnl
GS-Scale: Unlocking Large-Scale 3D Gaussian Splatting Training via Host Offloading.
CoRR
Donghyun Lee, Dawoon Jeong, Jae W. Lee, Hongil Yoon
2025 A* conf
GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance.
ICML
Jinuk Kim, Marwa El Halabi, Wonpyo Park, Clemens J. S. Schaefer, Deokjae Lee, Yeonhong Park, Jae W. Lee, Hyun Oh Song
2025 J jnl
GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance.
CoRR
Jinuk Kim, Marwa El Halabi, Wonpyo Park, Clemens JS Schaefer, Deokjae Lee, Yeonhong Park, Jae W. Lee, Hyun Oh Song
2025 A conf
InstANNS: Scalable Approximate Nearest Neighbor Search via Cost-Efficient In-Storage Processing.
CIKM
Bonggeun Sim, Yushin Kim, Minseo Kim, Yeonhong Park, Jae W. Lee
2025 J jnl
KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction.
CoRR
Jang-Hyun Kim, Jinuk Kim, Sangwoo Kwon, Jae W. Lee, Sangdoo Yun, Hyun Oh Song
2025 J jnl
NestedFP: High-Performance, Memory-Efficient Dual-Precision Floating Point Support for LLMs.
CoRR
Haeun Lee, Omin Kwon, Yeonhong Park, Jae W. Lee
2025 Misc conf
SkipLSM: Fast Retrieval of Hot Key-Value Pairs on LSM Tree.
SAC
Jongsung Lee, Sam Son, Jonghyun Bae, Yunho Jin, Tae Jun Ham, Jae W. Lee
2025 Misc conf
Transparent Smartphone Memory Expansion.
SAC
Gyusun Lee, Jinyong Park, Jae W. Lee, Jinkyu Jeong
2024 A conf
A Processing-using-Memory Architecture for Commodity DRAM Devices with Enhanced Compatibility and Reliability.
ICCAD
Hoon Shin, Rihae Park, Jae W. Lee
2024 J jnl
A Quantitative Analysis of State Space Model-Based Large Language Model: Study of Hungry Hungry Hippos.
IEEE Comput. Archit. Lett.
Dongho Yoon, Taehun Kim, Jae W. Lee, Minsoo Rhu
2024 J jnl
An LSM Tree Augmented with B
ACM Trans. Storage
Donguk Kim, Jongsung Lee, Keun Soo Lim, Jun Heo, Tae Jun Ham, Jae W. Lee
2024 A* conf
Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs.
ICML
Yeonhong Park, Jake Hyun, SangLyul Cho, Bonggeun Sim, Jae W. Lee
2024 J jnl
Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs.
CoRR
Yeonhong Park, Jake Hyun, SangLyul Cho, Bonggeun Sim, Jae W. Lee
2024 — conf
Frugal 3D Point Cloud Model Training via Progressive Near Point Filtering and Fused Aggregation.
ECCV (66)
Donghyun Lee, Yejin Lee, Jae W. Lee, Hongil Yoon
2024 C ed.
Proceedings of the 2024 ACM SIGPLAN International Symposium on Memory Management, ISMM 2024, Copenhagen, Denmark, 25 June 2024
ISMM
Michael D. Bond, Jae W. Lee, Hannes Payer
2024 J jnl
Pushing the Envelope of Low-Bit LLM via Dynamic Error Compensation.
CoRR
Yeonhong Park, Jake Hyun, Hojoon Kim, Jae W. Lee
2024 — conf
ReLUifying Smooth Functions: Low-Cost Knowledge Distillation to Obtain High-Performance ReLU Networks.
ACCV (8)
Soosung Kim, Yeonhong Park, Hyunseung Lee, Sungchan Yi, Jae W. Lee
2024 A* conf
VGA: Hardware Accelerator for Scalable Long Sequence Model Inference.
MICRO
Seung Yul Lee, Hyunseung Lee, Jihoon Hong, SangLyul Cho, Jae W. Lee
2023 J jnl
A 4-bit 4.5-ns-Latency Pseudo-ReRAM Computing-In-Memory Macro With Self Error-Correcting DTC-Based WL Drivers and 6-bit CDAC-Less Column ADCs Having Ultra-Narrow Pitch.
IEEE Trans. Circuits Syst. II Express Briefs
Jongho Kim, Young H. Oh, Hyeonsik Kim, Jae W. Lee, Jintae Kim
2023 A* conf
A Memory-Efficient Edge Inference Accelerator with XOR-based Model Compression.
DAC
Hyunseung Lee, Jihoon Hong, Soosung Kim, Seung Yul Lee, Jae W. Lee
2023 A* conf
DRAM Translation Layer: Software-Transparent DRAM Power Savings for Disaggregated Memory.
ISCA
Wenjing Jin, Wonsuk Jang, Haneul Park, Jongsung Lee, Soosung Kim, Jae W. Lee
2023 A conf
FlowKV: A Semantic-Aware Store for Large-Scale State Management of Stream Processing Engines.
EuroSys
Gyewon Lee, Jaewoo Maeng, Jinsol Park, Jangho Seo, Haeyoon Cho, Youngseok Yang, Taegeon Um, Jongsung Lee, Jae W. Lee, Byung-Gon Chun
2023 — conf
Liquid: Mix-and-Match Multiple Image Formats to Balance DNN Training Pipeline.
APSys
Woohyeon Baek, Jonghyun Bae, Donghyun Lee, Hyunwoong Bae, Yeonhong Park, Jae W. Lee
2023 J jnl
MaPHeA: A Framework for Lightweight Memory Hierarchy-aware Profile-guided Heap Allocation.
ACM Trans. Embed. Comput. Syst.
Deok-Jae Oh, Yaebin Moon, Do Kyu Ham, Tae Jun Ham, Yongjun Park, Jae W. Lee, Jung Ho Ahn, Eojin Lee
2023 A* conf
Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud.
AAAI
Yejin Lee, Donghyun Lee, Junguk Hong, Jae W. Lee, Hongil Yoon
2023 J jnl
Special Issue on Top Picks From the 2022 Computer Architecture Conferences.
IEEE Micro
Christopher Batten, Jae W. Lee
2023 J jnl
WALTZ: Leveraging Zone Append to Tighten the Tail Latency of LSM Tree on ZNS SSD.
Proc. VLDB Endow.
Jongsung Lee, Dong Uk Kim, Jae W. Lee
2022 — conf
A 40nm 5.6TOPS/W 239GOPS/mm
ESSCIRC
Seong Hoon Seo, Soosung Kim, Sung Jun Jung, Sangwoo Kwon, Hyunseung Lee, Jae W. Lee
2022 — conf
A Hardware Automated Domain-Specific Flash Memory System for Emerging Applications.
ICEIC
Shine Kim, Jae W. Lee
2022 A* conf
ANNA: Specialized Architecture for Approximate Nearest Neighbor Search.
HPCA
Yejin Lee, Hyunji Choi, Sunhong Min, Hyunseung Lee, Sangwon Beak, Dawoon Jeong, Jae W. Lee, Tae Jun Ham
2022 J jnl
An Energy-Efficient DRAM Cache Architecture for Mobile Platforms With PCM-Based Main Memory.
ACM Trans. Embed. Comput. Syst.
Dongsuk Shin, Hakbeom Jang, Kiseok Oh, Jae W. Lee
2022 J jnl
Architecting a Flash-Based Storage System for Low-Cost Inference of Extreme-Scale DNNs.
IEEE Trans. Computers
Yunho Jin, Shine Kim, Tae Jun Ham, Jae W. Lee
2022 A* conf
Effective zero compression on ReRAM-based sparse DNN accelerators.
DAC
Hoon Shin, Rihae Park, Seung Yul Lee, Yeonhong Park, Hyunseung Lee, Jae W. Lee
2022 J jnl
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching.
CoRR
Yeonhong Park, Sunhong Min, Jae W. Lee
2022 J jnl
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching.
Proc. VLDB Endow.
Yeonhong Park, Sunhong Min, Jae W. Lee
2022 A ed.
IEEE/ACM International Symposium on Code Generation and Optimization, CGO 2022, Seoul, Korea, Republic of, April 2-6, 2022
CGO
Jae W. Lee, Sebastian Hack, Tatiana Shpeisman
2022 — conf
L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training.
ECCV (11)
Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, Jae W. Lee
2022 J jnl
L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training.
CoRR
Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, Jae W. Lee
2022 J jnl
Layerweaver+: A QoS-Aware Layer-Wise DNN Scheduler for Multi-Tenant Neural Processing Units.
IEICE Trans. Inf. Syst.
Young H. Oh, Yunho Jin, Tae Jun Ham, Jae W. Lee
2022 A* conf
Mithril: Cooperative Row Hammer Protection on Commodity DRAM Leveraging Managed Refresh.
HPCA
Michael Jaemin Kim, Jaehyun Park, Yeonhong Park, Wanju Doh, Namhoon Kim, Tae Jun Ham, Jae W. Lee, Jung Ho Ahn
2022 — conf
ULPPACK: Fast Sub-8-bit Matrix Multiply on Commodity SIMD Hardware.
MLSys
Jaeyeon Won, Jeyeon Si, Sam Son, Tae Jun Ham, Jae W. Lee
2021 — conf
ASAP: Fast Mobile Application Switch via Adaptive Prepaging.
USENIX ATC
Sam Son, Seung Yul Lee, Yunho Jin, Jonghyun Bae, Jinkyu Jeong, Tae Jun Ham, Jae W. Lee, Hongil Yoon
2021 J jnl
Accelerating Genomic Data Analytics With Composable Hardware Acceleration Framework.
IEEE Micro
Tae Jun Ham, Yejin Lee, Seong Hoon Seo, U. Gyeong Song, Jae W. Lee, David Bruns-Smith, Brendan Sweeney, Krste Asanovic, Young H. Oh, Lisa Wu Wills
2021 J jnl
An 8-bit Ring-Amplifier Based Mixed-Signal MAC Circuit With Full Digital Interface and Variable Accumulation Length.
IEEE Access
Jongho Kim, Beomkyu Seo, Young H. Oh, Jung-Hoon Chun, Jae W. Lee, Jintae Kim
2021 A* conf
BOSS: Bandwidth-Optimized Search Accelerator for Storage-Class Memory.
ISCA
Jun Heo, Seung Yul Lee, Sunhong Min, Yeonhong Park, Sungjun Jung, Tae Jun Ham, Jae W. Lee
2021 A conf
Behemoth: A Flash-centric Training Accelerator for Extreme-scale DNNs.
FAST
Shine Kim, Yunho Jin, Gina Sohn, Jonghyun Bae, Tae Jun Ham, Jae W. Lee
2021 A* conf
ELSA: Hardware-Software Co-design for Efficient, Lightweight Self-Attention Mechanism in Neural Networks.
ISCA
Tae Jun Ham, Yejin Lee, Seong Hoon Seo, Soosung Kim, Hyunji Choi, Sung Jun Jung, Jae W. Lee
2021 A conf
FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks.
FAST
Jonghyun Bae, Jongsung Lee, Yunho Jin, Sam Son, Shine Kim, Hakbeom Jang, Tae Jun Ham, Jae W. Lee
2021 A ed.
IEEE/ACM International Symposium on Code Generation and Optimization, CGO 2021, Seoul, South Korea, February 27 - March 3, 2021
CGO
Jae W. Lee, Mary Lou Soffa, Ayal Zaks
2021 A* conf
Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-Wise Scheduling.
HPCA
Young H. Oh, Seonghak Kim, Yunho Jin, Sam Son, Jonghyun Bae, Jongsung Lee, Yeonhong Park, Dong Uk Kim, Tae Jun Ham, Jae W. Lee
2021 A* conf
MERCI: efficient embedding reduction on commodity hardware via sub-query memoization.
ASPLOS
Yejin Lee, Seong Hoon Seo, Hyunji Choi, Hyoung Uk Sul, Soosung Kim, Jae W. Lee, Tae Jun Ham
2021 B conf
MaPHeA: a lightweight memory hierarchy-aware profile-guided heap allocation framework.
LCTES
Deok-Jae Oh, Yaebin Moon, Eojin Lee, Tae Jun Ham, Yongjun Park, Jae W. Lee, Jung Ho Ahn
2021 A conf
Message from the General Chair.
CGO
Jae W. Lee
2021 J jnl
Mithril: Cooperative Row Hammer Protection on Commodity DRAM Leveraging Managed Refresh.
CoRR
Michael Jaemin Kim, Jaehyun Park, Yeonhong Park, Wanju Doh, Namhoon Kim, Tae Jun Ham, Jae W. Lee, Jung Ho Ahn
2020 A* conf
A
HPCA
Tae Jun Ham, Sungjun Jung, Seonghak Kim, Young H. Oh, Yeonhong Park, Yoonho Song, Jung-Hun Park, Sanghee Lee, Kyoung Park, Jae W. Lee, Deog-Kyoon Jeong
2020 J jnl
A
CoRR
Tae Jun Ham, Sungjun Jung, Seonghak Kim, Young H. Oh, Yeonhong Park, Yoonho Song, Jung-Hun Park, Sanghee Lee, Kyoung Park, Jae W. Lee, Deog-Kyoon Jeong
2020 A* conf
A Case for Hardware-Based Demand Paging.
ISCA
Gyusun Lee, Wenjing Jin, Wonsuk Song, Jeonghun Gong, Jonghyun Bae, Tae Jun Ham, Jae W. Lee, Jinkyu Jeong
2020 A* conf
A Specialized Architecture for Object Serialization with Applications to Big Data Analytics.
ISCA
Jaeyoung Jang, Sungjun Jung, Sunmin Jeong, Jun Heo, Hoon Shin, Tae Jun Ham, Jae W. Lee
2020 A* conf
Genesis: A Hardware Acceleration Framework for Genomic Data Analysis.
ISCA
Tae Jun Ham, David Bruns-Smith, Brendan Sweeney, Yejin Lee, Seong Hoon Seo, U. Gyeong Song, Young H. Oh, Krste Asanovic, Jae W. Lee, Lisa Wu Wills
2020 A* conf
Graphene: Strong yet Lightweight Row Hammer Protection.
MICRO
Yeonhong Park, Woosuk Kwon, Eojin Lee, Tae Jun Ham, Jung Ho Ahn, Jae W. Lee
2020 A* conf
IIU: Specialized Architecture for Inverted Index Search.
ASPLOS
Jun Heo, Jaeyeon Won, Yejin Lee, Shivam Bharuka, Jaeyoung Jang, Tae Jun Ham, Jae W. Lee
2020 A conf
Unlocking Wordline-level Parallelism for Fast Inference on RRAM-based DNN Accelerator.
ICCAD
Yeonhong Park, Seung Yul Lee, Hoon Shin, Jun Heo, Tae Jun Ham, Jae W. Lee
2019 — conf
Asynchronous I/O Stack: A Low-latency Kernel I/O Stack for Ultra-Low Latency SSDs.
USENIX ATC
Gyusun Lee, Seokha Shin, Wonsuk Song, Tae Jun Ham, Jae W. Lee, Jinkyu Jeong
2019 A* conf
Charon: Specialized Near-Memory Processing Architecture for Clearing Dead Objects in Memory.
MICRO
Jaeyoung Jang, Jun Heo, Yejin Lee, Jaeyeon Won, Seonghak Kim, Sungjun Jung, Hakbeom Jang, Tae Jun Ham, Jae W. Lee
2019 J jnl
Eager Memory Management for In-Memory Data Analytics.
IEICE Trans. Inf. Syst.
Hakbeom Jang, Jonghyun Bae, Tae Jun Ham, Jae W. Lee
2019 B conf
Enforcing Last-Level Cache Partitioning through Memory Virtual Channels.
PACT
Jongwook Chung, Yuhwan Ro, Joonsung Kim, Jaehyung Ahn, Jangwoo Kim, John Kim, Jae W. Lee, Jung Ho Ahn
2019 — conf
Practical Erase Suspension for Modern Low-latency SSDs.
USENIX ATC
Shine Kim, Jonghyun Bae, Hakbeom Jang, Wenjing Jin, Jeonghun Gong, Seungyeon Lee, Tae Jun Ham, Jae W. Lee
2019 J jnl
SSDStreamer: Specializing I/O Stack for Large-Scale Machine Learning.
IEEE Micro
Jonghyun Bae, Hakbeom Jang, Jeonghun Gong, Wenjing Jin, Shine Kim, Jaeyoung Jang, Tae Jun Ham, Jinkyu Jeong, Jae W. Lee
2018 B conf
A portable, automatic data qantizer for deep neural networks.
PACT
Young H. Oh, Quan Quan, Daeyeon Kim, Seonghak Kim, Jun Heo, Sungjun Jung, Jaeyoung Jang, Jae W. Lee
2018 C conf
Bandwidth-aware DRAM page migration for heterogeneous mobile memory systems.
ICCE
Dongsuk Shin, Jae W. Lee
2018 J jnl
Erratum: Energy-efficient heterogeneous memory system for mobile platforms [IEICE Electronics Express Vol. 14 (2017) No. 24 pp. 20171002].
IEICE Electron. Express
Dongsuk Shin, Hakbeom Jang, Jae W. Lee
2017 — conf
Constructive Multi-User Interference for Symbol-Level Link Adaptation: MMSE Approach.
GLOBECOM Workshops
Yong I. Choi, Jae W. Lee, Chung Gu Kang, Minjoong Rim
2017 Misc conf
Context-Aware Memory Profiling for Speculative Parallelism.
HiPC
Changsu Kim, Juhyun Kim, Juwon Kang, Jae W. Lee, Hanjun Kim
2017 J jnl
DRAM architecture for efficient data lifetime management.
IEICE Electron. Express
Yongjun Lee, Yunkeuk Kim, Jinkyu Jeong, Jae W. Lee
2017 J jnl
Energy-efficient heterogeneous memory system for mobile platforms.
IEICE Electron. Express
Dongsuk Shin, Hakbeom Jang, Jae W. Lee
2017 J jnl
Evaluation of Performance Unfairness in NUMA System Architecture.
IEEE Comput. Archit. Lett.
WonJun Song, Hyungjoon Jung, Jung Ho Ahn, Jae W. Lee, John Kim
2017 A* conf
History-Based Arbitration for Fairness in Processor-Interconnect of NUMA Servers.
ASPLOS
WonJun Song, Gwangsun Kim, Hyungjoon Jung, Jongwook Chung, Jung Ho Ahn, Jae W. Lee, John Kim
2017 — conf
Jointly optimizing task granularity and concurrency for in-memory mapreduce frameworks.
IEEE BigData
Jonghyun Bae, Hakbeom Jang, Wenjing Jin, Jun Heo, Jaeyoung Jang, Joo Young Hwang, Sangyeun Cho, Jae W. Lee
2017 J jnl
On the Performance of Beam Division Nonorthogonal Multiple Access for FDD-Based Large-Scale Multi-User MIMO Systems.
IEEE Trans. Wirel. Commun.
Yong I. Choi, Jae W. Lee, Minjoong Rim, Chung Gu Kang
2017 J jnl
SALAD: Achieving Symmetric Access Latency with Asymmetric DRAM Architecture.
IEEE Comput. Archit. Lett.
Young Hoon Son, Hyunyoon Cho, Yuhwan Ro, Jae W. Lee, Jung Ho Ahn
2017 A* conf
SOUP-N-SALAD: Allocation-Oblivious Access Latency Reduction with Asymmetric DRAM Microarchitectures.
HPCA
Yuhwan Ro, Hyunyoon Cho, Eojin Lee, Daejin Jung, Young Hoon Son, Jung Ho Ahn, Jae W. Lee
2017 A* conf
Typed Architectures: Architectural Support for Lightweight Scripting.
ASPLOS
Channoh Kim, Jaehyeok Kim, Sungmin Kim, Doo-young Kim, Namho Kim, Gitae Na, Young H. Oh, Hyeon-Gyu Cho, Jae W. Lee
2016 J jnl
An eDRAM-Based Approximate Register File for GPUs.
IEEE Des. Test
Donghwan Jeong, Young H. Oh, Jae W. Lee, Yongjun Park
2016 A* conf
Efficient footprint caching for Tagless DRAM Caches.
HPCA
Hakbeom Jang, Yongjun Lee, Jongwon Kim, Youngsok Kim, Jangwoo Kim, Jinkyu Jeong, Jae W. Lee
2016 A* conf
Short-Circuit Dispatch: Accelerating Virtual Machine Interpreters on Embedded Processors.
ISCA
Channoh Kim, Sungmin Kim, Hyeon-Gyu Cho, Doo-young Kim, Jaehyeok Kim, Young H. Oh, Hakbeom Jang, Jae W. Lee
2016 B conf
Speculatively Exploiting Cross-Invocation Parallelism.
PACT
Jialu Huang, Prakash Prabhu, Thomas B. Jablin, Soumyadeep Ghosh, Sotiris Apostolakis, Jae W. Lee, David I. August
2016 J jnl
Workload-Aware Optimal Power Allocation on Single-Chip Heterogeneous Processors.
IEEE Trans. Parallel Distributed Syst.
Jae Young Jang, Hao Wang, Euijin Kwon, Jae W. Lee, Nam Sung Kim
2015 A* conf
A fully associative, tagless DRAM cache.
ISCA
Yongjun Lee, Jongwon Kim, Hakbeom Jang, Hyunggyun Yang, Jangwoo Kim, Jinkyu Jeong, Jae W. Lee
2015 J jnl
A neural network accelerator for mobile application processors.
IEEE Trans. Consumer Electron.
Doo-young Kim, Jin Min Kim, Hakbeom Jang, Jinkyu Jeong, Jae W. Lee
2015 B conf
JAWS: a JavaScript framework for adaptive CPU-GPU work sharing.
PPoPP
Xianglan Piao, Channoh Kim, Younghwan Oh, Huiying Li, Jincheon Kim, Hanjun Kim, Jae W. Lee
2014 — conf
Efficient CPU-GPU work sharing for data-parallel JavaScript workloads.
WWW (Companion Volume)
Xianglan Piao, Channoh Kim, Younghwan Oh, Hanjun Kim, Jae W. Lee
2014 J jnl
Low-Overhead Network-on-Chip Support for Location-Oblivious Task Placement.
IEEE Trans. Computers
Gwangsun Kim, Michael Mihn-Jong Lee, John Kim, Jae W. Lee, Dennis Abts, Michael R. Marty
2014 A conf
Microbank: Architecting Through-Silicon Interposer-Based Main Memory Systems.
SC
Young Hoon Son, Seongil O, Hyunggyun Yang, Daejin Jung, Jung Ho Ahn, John Kim, Jangwoo Kim, Jae W. Lee
2014 A conf
QPR.js: a runtime framework for QoS-aware power optimization for parallel JavaScript programs.
ISLPED
Wonjun Lee, Channoh Kim, Houp Song, Jae W. Lee
2014 A* conf
Security Vulnerability in Processor-Interconnect Router Design.
CCS
WonJun Song, John Kim, Jae W. Lee, Dennis Abts
2014 A conf
eDRAM-based tiered-reliability memory with applications to low-power frame buffers.
ISLPED
Kyungsang Cho, Yongjun Lee, Young H. Oh, Gyoo-Cheol Hwang, Jae W. Lee
2013 A* conf
Practical automatic loop specialization.
ASPLOS
Taewook Oh, Hanjun Kim, Nick P. Johnson, Jae W. Lee, David I. August
2013 B conf
Practical speculative parallelization of variable-length decompression algorithms.
LCTES
Hakbeom Jang, Channoh Kim, Jae W. Lee
2013 A* conf
Reducing memory access latency with asymmetric DRAM bank organizations.
ISCA
Young Hoon Son, Seongil O, Yuhwan Ro, Jae W. Lee, Jung Ho Ahn
2012 A conf
Automatic speculative DOALL for clusters.
CGO
Hanjun Kim, Nick P. Johnson, Jae W. Lee, Scott A. Mahlke, David I. August
2012 J jnl
DAFT: Decoupled Acyclic Fault Tolerance.
Int. J. Parallel Program.
Yun Zhang, Jae W. Lee, Nick P. Johnson, David I. August
2012 Misc conf
From sequential programming to flexible parallel execution.
CASES
Arun Raman, Jae W. Lee, David I. August
2012 J jnl
Globally Synchronized Frames for guaranteed quality-of-service in on-chip networks.
J. Parallel Distributed Comput.
Jae W. Lee, Man Cheuk Ng, Krste Asanovic
2012 A* conf
Parcae: a system for flexible parallel execution.
PLDI
Arun Raman, Ayal Zaks, Jae W. Lee, David I. August
2012 A conf
Runtime asynchronous fault tolerance via speculation.
CGO
Yun Zhang, Soumyadeep Ghosh, Jialu Huang, Jae W. Lee, Scott A. Mahlke, David I. August
2011 A* conf
Parallelism orchestration using DoPE: the degree of parallelism executive.
PLDI
Arun Raman, Hanjun Kim, Taewook Oh, Jae W. Lee, David I. August
2010 B conf
Approximating age-based arbitration in on-chip networks.
PACT
Michael Mihn-Jong Lee, John Kim, Dennis Abts, Michael R. Marty, Jae W. Lee
2010 B conf
DAFT: decoupled acyclic fault tolerance.
PACT
Yun Zhang, Jae W. Lee, Nick P. Johnson, David I. August
2010 A* conf
Probabilistic Distance-Based Arbitration: Providing Equality of Service for Many-Core CMPs.
MICRO
Michael Mihn-Jong Lee, John Kim, Dennis Abts, Michael R. Marty, Jae W. Lee
2010 A* conf
Scalable Speculative Parallelization on Commodity Clusters.
MICRO
Hanjun Kim, Arun Raman, Feng Liu, Jae W. Lee, David I. August
2008 A* conf
Globally-Synchronized Frames for Guaranteed Quality-of-Service in On-Chip Networks.
ISCA
Jae W. Lee, Man Cheuk Ng, Krste Asanovic
2007 C conf
Continual hashing for efficient fine-grain state inconsistency detection.
ICCD
Jae W. Lee, Myron King, Krste Asanovic
2006 — conf
METERG: Measurement-Based End-to-End Performance Estimation Technique in QoS-Capable Multiprocessors.
IEEE Real Time Technology and Applications Symposium
Jae W. Lee, Krste Asanovic
2005 J jnl
Extracting secret keys from integrated circuits.
IEEE Trans. Very Large Scale Integr. Syst.
Daihyun Lim, Jae W. Lee, Blaise Gassend, G. Edward Suh, Marten van Dijk, Srinivas Devadas
2004 A* conf
Secure program execution via dynamic information flow tracking.
ASPLOS
G. Edward Suh, Jae W. Lee, David Zhang, Srinivas Devadas
2002 J jnl
The Raw Microprocessor: A Computational Fabric for Software Circuits and General-Purpose Programs.
IEEE Micro
Michael B. Taylor, Jason Sungtae Kim, Jason E. Miller, David Wentzlaff, Fae Ghodrat, Ben Greenwald, Henry Hoffmann, Paul R. Johnson, Jae W. Lee, Walter Lee, Albert Ma, Arvind Saraf, Mark Seneski, Nathan Shnidman, Volker Strumpen, Matthew I. Frank, Saman P. Amarasinghe, Anant Agarwal