Jae W. Lee

I am an Associate Professor a Professor of Computer Science and Engineering (CSE) at Seoul National University (SNU). Before joining SNU, I was an Assistant Professor in the Department of Semiconductor Systems Engineering at Sungkyunkwan University (SKKU) until August 2016.

Prior to that, I was a research associate in the Liberty Research Group at Princeton University, and a researcher and engineer at Parakinetics, Inc, tackling software challenges on multicore architectures with various compiler and run-time techniques. I also contributed to multiple successful VLSI implementation projects in the past, including Physical Uncloneable Function (PUF) (as ASIC design lead) and Raw Microprocessor at MIT. I have recently restarted ASIC prototyping of our architecture designs with my own students (like this one).

I completed my Ph.D. in Computer Science at MIT as a member of Computer Science and Artificial Intelligence Lab (CSAIL) under the guidance of Prof. Krste Asanovic (now at the University of California, Berkeley) and Prof. Arvind. Before coming to MIT, I received my M.S. from Stanford University and B.S. from Seoul National University--both in Electrical Engineering.

Publications (Journals/Conference Proceedings)

• [MICRO '24] SeungYul Lee, Jihoon Hong, Hyunseung Lee, SangLyul Cho, and Jae W. Lee, "VGA: Hardware Accelerator for Scalable Long Sequence Model Inference", 57th IEEE/ACM International Symposium on Microarchitecture (MICRO-57), Austin, TX, USA, November 2024. (To appear)
• [ICCAD '24] Hoon Shin, Rihae Park, and Jae W. Lee, "A Processing-using-Memory Architecture for Commodity DRAM Devices with Enhanced Compatibility and Reliability", 43rd IEEE/ACM International Conference on Computer-Aided Design (ICCAD), New Jersey, USA, October 2024. (To appear)
• [ECCV '24] Donghyun Lee, Yejin Lee, Jae W. Lee, and Hongil Yoon, "Frugal 3D Point Cloud Model Training via Progressive Near Point Filtering and Fused Aggregation", European Conference on Computer Vision (ECCV), Milan, Italy, September 2024. (To appear)
• [CAL '24] Dongho Yoon, Taehun Kim, Jae W. Lee, and Minsoo Rhu, "A Quantitative Analysis of State Space Model-Based Large Language Model: Study of Hungry Hungry Hippos", IEEE Computer Architecture Letters, 2024.
• [ICML '24] Yeonhong Park, Jake Hyun, SangLyul Cho, Bonggeun Sim, and Jae W. Lee, "Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs", 41st International Conference on Machine Learning (ICML), Vienna, Austria, July 2024. (To appear) - Oral Presentation (Accept Rate: 144/9473=1.5%)
• [ACM TOS '24] Donguk Kim, Jongsung Lee, Keun Soo Lim, Jun Heo, Tae Jun Ham, and Jae W. Lee, "An LSM Tree Augmented with B+ Tree on Nonvolatile Memory", ACM Transactions on Storage, 20(1), January 2024.
• [VLDB '23] Jongsung Lee, Donguk Kim, and Jae W. Lee, "WALTZ: Leveraging Zone Append to Tighten the Tail Latency of LSM Tree on ZNS SSD", 49th International Conference on Very Large Databases (VLDB) / Proc. the VLDB Endowment (PVLDB), Vancouver, Canada, August 2023.
• [APSys '23] Woohyeon Baek*, Jonghyun Bae*, Donghyun Lee, Hyunwoong Bae, Yeonhong Park, and Jae W. Lee, "Liquid: Mix-and-Match Multiple Image Formats to Balance DNN Training Pipeline", 14th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys), Seoul, South Korea, August 2023.
• [DAC '23] Hyunseung Lee, Jihoon Hong, Soosung Kim, Seung Yul Lee, and Jae W. Lee, "A Memory-Efficient Edge Inference Accelerator with XOR-based Model Compression", 60th Design Automation Conference (DAC), San Francisco, California, July 2023.
• [ISCA@50 Restrospective] Lisa Wu Wills, Tae Jun Ham, Jae W. Lee, and Krste Asanovic, "RETROSPECTIVE: Genesis: A Hardware Acceleration Framework for Genomic Data Analysis", in ISCA@50 Retrospective: 1996-2020, June 2023. - Selected for inclusion in ISCA@50 25-year Retrospective 1996-2020
• [ISCA '23] Wenjing Jin, Wonsuk Jang, Haneul Park, Jongsung Lee, Soosung Kim, and Jae W. Lee, "DRAM Translation Layer: Software-Transparent DRAM Power Savings for Disaggregated Memory", 50th IEEE/ACM International Symposium on Computer Architecture (ISCA-50), Orlando, Florida, June 2023.
• [IEEE TCAS-II '23] Jongho Kim, Young H. Oh, Hyeonsik Kim, Jae W. Lee, and Jintae Kim, "A 4-bit 4.5ns-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 Transactions on Circuits and Systems--II: Express Briefs, 70(9), September 2023.
• [EuroSys '23] Gyewon Lee, Jaewoo Maeng, Jinsol Park, Jangho Seo, Haeyoon Cho, Youngseok Yang, Taegeon Um, Jongsung Lee, Jae W. Lee, and Byung-Gon Chun, "FlowKV: A Semantic-Aware Store for Large-Scale State Management of Stream Processing Engines", 18th European Conference on Computer Systems (EuroSys), Rome, Italy, May 2023.
• [AAAI '23] Yejin Lee, Donghyun Lee, JungUk Hong, Jae W. Lee, and Hongil Yoon, "Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud", 37th AAAI Conference on Artificial Intelligence, Washington, DC, February 2023. - Oral Presentation
• [ACM TECS '23] Deok-Jae Oh, Yaebin Moon, Do Kyu Ham, Tae Jun Ham, Yongjun Park, Jae W. Lee, Jung Ho Ahn, and Eojin Lee, "MaPHeA: A Framework for Lightweight Memory Hierarchy-Aware Profile-Guided Heap Allocation", ACM Transactions on Embedded Computing Systems, 22(1), January 2023.
• [IEEE TC '22] Yunho Jin*, Shine Kim*, Tae Jun Ham, Jae W. Lee, "Architecting a Flash-based Storage System for Low-cost Inference of Extreme-scale DNNs", IEEE Transactions on Computers, 71(12), December 2022.
• [ECCV '22] Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, and Jae W. Lee, "L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training", European Conference on Computer Vision (ECCV), Tel-Aviv, Israel, October 2022.
• [VLDB '22] Yeonhong Park, Sunhong Min, and Jae W. Lee, "Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching", 48th International Conference on Very Large Databases (VLDB) / Proc. the VLDB Endowment (PVLDB), Sydney, Australia, September 2022. (Talk video)
• [ESSCIRC '22] Seong Hoon Seo*, Soosung Kim*, Sung Jun Jung, Sangwoo Kwon, Hyunseung Lee, and Jae W. Lee, "A 40nm 5.6TOPS/W 239GOPS/mm² Self-Attention Processor with Sign Random Projection-based Approximation", 48th European Solid-State Circuits Conference (ESSCIRC), Milan, Italy, September 2022. (PDF slides)
• [MLSys '22] Jaeyeon Won, Jeyeon Si, Sam Son, Tae Jun Ham, and Jae W. Lee, "ULPPACK: Fast Sub-8-bit Matrix Multiply on Commodity SIMD Hardware", Fifth Conference on Machine Learning and Systems (MLSys), Santa Clara, California, April August 2022.
• [DAC '22] Hoon Shin*, Rihae Park*, Seung Yul Lee, Yeonhong Park, Hyunseung Lee, and Jae W. Lee, "Effective Zero Compression on ReRAM-based Sparse DNN Accelerators", 59th Design Automation Conference (DAC), San Francisco, California, July 2022. (PPTX slides, Talk video)
• [HPCA '22] Yejin Lee, Hyunji Choi, Sunhong Min, Hyunseung Lee, Sangwon Baek, Dawoon Jeong, Jae W. Lee, and Tae Jun Ham, "ANNA: Specialized Architecture for Approximate Nearest Neighbor Search", 28th IEEE International Symposium on High Performance Computer Architecture (HPCA), Seoul, South Korea, February April 2022. (PPTX slides, Talk video)
• [HPCA '22] Michael Jaemin Kim, Jaehyun Park, Yeonhong Park, Wanju Doh, Namhoon Kim, Tae Jun Ham, Jae W. Lee, and Jung Ho Ahn, "Mithril: Cooperative Row Hammer Protection on Commodity DRAM Leveraging Managed Refresh", 28th IEEE International Symposium on High Performance Computer Architecture (HPCA), Seoul, South Korea, February April 2022.
• [ACM TECS '22] Dongsuk Shin, Hakbeom Jang, Kiseok Oh, and Jae W. Lee, "An Energy-Efficient DRAM Cache Architecture for Mobile Platforms with PCM-based Main Memory", ACM Transactions on Embedded Computing Systems, 21(1), January 2022.
• [ATC '21] Sam Son, Seung Yul Lee, Yunho Jin, Jonghyun Bae, Jinkyu Jeong, Tae Jun Ham, Jae W. Lee, and Hongil Yoon, "ASAP: Fast Mobile Application Switch via Adaptive Prepaging", USENIX Annual Technical Conference (ATC), Virtual Event, July 2021. (PDF slides, Talk video)
• [ISCA '21] Tae Jun Ham*, Yejin Lee*, Seong Hoon Seo, Soosung Kim, Hyunji Choi, Sung Jun Jung, and Jae W. Lee, "ELSA: Hardware-Software Co-design for Efficient, Lightweight Self-Attention Mechanism in Neural Networks", 48th IEEE/ACM International Symposium on Computer Architecture (ISCA-48), Valencia, Spain, June 2021. (PPTX slides, Talk video)
• [ISCA '21] Jun Heo, Seung Yul Lee, Sunhong Min, Yeonhong Park, Sung Jun Jung, Tae Jun Ham, and Jae W. Lee, "BOSS: Bandwidth-Optimized Search Accelerator for Storage-Class Memory", 48th IEEE/ACM International Symposium on Computer Architecture (ISCA-48), Valencia, Spain, June 2021.
• [IEEE Micro '21] Tae Jun Ham, David Bruns-Smith, Brendan Sweeney, Yejin Lee, Seong Hoon Seo, U Gyeong Song, Young H. Oh, Krste Asanovic, Jae W. Lee, and Lisa Wu Wills, "Accelerating Genomic Data Analytics with Composable Hardware Acceleration Framework", IEEE Micro, May/June 2021. - Special Issue on Top Picks from the 2020 Computer Architecture Conferences
• [LCTES '21] Deok-Jae Oh, Yaebin Moon, Eojin Lee, Tae Jun. Ham, Yongjun Park, Jae W. Lee, and Jung Ho Ahn, "MaPHeA: A Lightweight Memory Hierarchy-aware Profile-guided Heap Allocation Framework", 22nd ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), Virtual Event, June 2021.
• [ASPLOS '21] Yejin Lee, Seong Hoon Seo, Hyunji Choi, Hyoung Uk Sul, Soosung Kim, Jae W. Lee, and Tae Jun Ham, "MERCI: Efficient Embedding Reduction on Commodity Hardware via Sub-Query Memoization", 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Detroit, Michigan, April 2021. (2-page abstract, PDF slides, Talk video)
• [FAST '21] Shine Kim*, Yunho Jin*, Gina Sohn, Jonghyun Bae, Tae Jun Ham, and Jae W. Lee, "Behemoth: A Flash-centric Training Accelerator for Extreme-scale DNNs", 19th USENIX Conference on File and Storage Technologies (FAST), Santa Clara, California, February 2021. (PDF slides)
• [FAST '21] Jonghyun Bae, Jongsung Lee, Yunho Jin, Sam Son, Shine Kim, Hakbeom Jang, Tae Jun Ham, and Jae W. Lee, "FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks", 19th USENIX Conference on File and Storage Technologies (FAST), Santa Clara, California, February 2021. (PDF slides)
• [HPCA '21] Young H. Oh, Seonghak Kim, Yunho Jin, Sam Son, Jonghyun Bae, Jongsung Lee, Yeonhong Park, Dong Uk Kim, Tae Jun Ham, and Jae W. Lee, "Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-Wise Scheduling", 27th IEEE International Symposium on High Performance Computer Architecture (HPCA), Seoul, South Korea, February 2021.
• [IEEE Access '21] Jongho Kim, Beomkyu Seo, Young H. Oh, Jung-Hoon Chun, Jae W. Lee, and Jintae Kim, "An 8-bit Ring-Amplifier based Mixed-Signal MAC Circuit with Full Digital Interface and Variable Accumulation Length", IEEE Access, Vol. 9, 2021.
• [ICCAD '20] Yeonhong Park, Seung Yul Lee, Hoon Shin, Jun Heo, Tae Jun Ham, and Jae W. Lee, "Unlocking Wordline-level Parallelism for Fast Inference on RRAM-based DNN Accelerator", 39th IEEE/ACM International Conference on Computer-Aided Design (ICCAD), San Diego, California, November 2020. (PPTX slides, Talk video)
• [MICRO '20] Yeonhong Park, Woosuk Kwon, Eojin Lee, Tae Jun Ham, Jung Ho Ahn, and Jae W. Lee, "Graphene: Strong yet Lightweight Row Hammer Protection", 53rd IEEE/ACM International Symposium on Microarchitecture (MICRO-53), Athens, Greece, October 2020. (PPTX slides, Talk video) - Selected for inclusion in IEEE Micro - Special Issue on Top Picks from the 2020 Computer Architecture Conferences (Honorable Mention)
• [ISCA '20] Jaeyoung Jang, Sung Jun Jung, Sunmin Jeong, Jun Heo, Hoon Shin, Tae Jun Ham, and Jae W. Lee, "A Specialized Architecture for Object Serialization with Applications to Big Data Analytics", 47th IEEE/ACM International Symposium on Computer Architecture (ISCA-47), Valencia, Spain, May 2020. (PPTX slides, Talk video)
• [ISCA '20] 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", 47th IEEE/ACM International Symposium on Computer Architecture (ISCA-47), Valencia, Spain, May 2020. (PDF slides, Talk video)
• [ISCA '20] Tae Jun Ham, David Bruns-Smith, Brendan Sweeney, Yejin Lee, Seong Hoon Seo, U Gyeong Song, Young H. Oh, Krste Asanovic, Jae W. Lee, and Lisa Wu Wills, "Genesis: A Hardware Acceleration Framework for Genomic Data Analysis", 47th IEEE/ACM International Symposium on Computer Architecture (ISCA-47), Valencia, Spain, May 2020. (PDF slides, Talk video) - Selected for inclusion in IEEE Micro - Special Issue on Top Picks from the 2020 Computer Architecture Conferences and ISCA@50 25-year Retrospective 1996-2020
• [ASPLOS '20] Jun Heo, Jaeyeon Won, Yejin Lee, Shivam Bharuka, Jaeyoung Jang, Tae Jun Ham, and Jae W. Lee, "IIU: Specialized Architecture for Inverted Index Search", 25th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Lausanne, Switzerland, March 2020. (PPTX slides, Talk video)
• [HPCA '20] Tae Jun Ham, Seonghak Kim, and Sung Jun Jung, Young H. Oh, Yeonhong Park, Yoon Ho Song, Junghoon Park, Sanghee Lee, Kyoung Park, Jae W. Lee, and Deog-Kyoon Jeong, "A^3: Accelerating Neural Network Attention Mechanism with Approximation", 26th IEEE International Symposium on High Performance Computer Architecture (HPCA), San Diego, California, February 2020. (Chip demo video)
• [MICRO '19] Jaeyoung Jang, Jun Heo, Yejin Lee, Jaeyeon Won, Seonghak Kim, Sung Jun Jung, Hakbeom Jang, Tae Jun Ham, and Jae W. Lee, "Charon: Specialized Near-Memory Processing Architecture for Clearing Dead Objects in Memory", 52nd IEEE/ACM International Symposium on Microarchitecture (MICRO-52), Columbus, Ohio, October 2019. (PPTX slides)
• [IEEE Micro '19] Jonghyun Bae, Hakbeom Jang, Jeonghun Gong, Wenjing Jin, Shine Kim, Jaeyoung Jang, Tae Jun Ham, Jinkyu Jeong, and Jae W. Lee, "SSDStreamer: Specializing I/O Stack for Large-Scale Machine Learning", IEEE Micro, September/October 2019.
• [PACT '19] Jongwook Chung, Yuhwan Ro, Joonsung Kim, Jaehyung Ahn, Jangwoo Kim, Johh Kim, Jae W. Lee, and Jung Ho Ahn, "Enforcing Last-Level Cache Partitioning through Memory Virtual Channels", IEEE International Conference on Parallel Architectures and Compilation Techniques (PACT-28), Seattle, Washington, September 2019.
• [ATC '19] Shine Kim, Jonghyun Bae, Hakbeom Jang, Wenjing Jin, Jeonghun Gong, Seungyeon Lee, Tae Jun Ham, and Jae W. Lee, "Practical Erase Suspension for Modern Low-latency SSDs", USENIX Annual Technical Conference (ATC), Seattle, Washington, July 2019. (PDF slides)
• [ATC '19] Gyusun Lee, Seokha Shin, Wonsuk Song, Tae Jun Ham, Jae W. Lee, and Jinkyu Jeong, "Asynchronous I/O Stack: A Low-latency Kernel I/O Stack for Ultra-Low Latency SSDs", USENIX Annual Technical Conference (ATC), Seattle, Washington, July 2019. (PDF slides)
• [PACT '18] Young H. Oh*, Quan Quan*, Daeyeon Kim, Seonghak Kim, Jun Heo, Jaeyoung Jang, Sung Jun Jung, and Jae W. Lee, "A Portable, Automatic Data Quantizer for Deep Neural Networks", IEEE International Conference on Parallel Architectures and Compilation Techniques (PACT-27), Limassol, Cyprus, November 2018.
• [BigData '17] Jonghyun Bae*, Hakbeom Jang*, Wenjing Jin, Jun Heo, Jaeyoung Jang, Joo-Young Hwang, Sangyeun Cho, and Jae W. Lee, "Jointly Optimizing Task Granularity and Concurrency for In-Memory MapReduce Frameworks", IEEE International Conference on Big Data (BigData), Boston, MA, December 2017. (PPTX slides)
• [ASPLOS '17] Channoh Kim, Jaehyeok Kim, Sungmin Kim, Dooyoung Kim, Namho Kim, Gitae Na, Young H. Oh, Hyeon Gyu Cho, and Jae W. Lee, "Typed Architectures: Architectural Support for Lightweight Scripting", 22nd ACM Architectural Support for Programming Languages and Operating Systems (ASPLOS), Xi'an, China, April 2017. (PPTX slides) - Selected for ASPLOS Highlights session
• [ASPLOS '17] Wonjun Song, Gwangsun Kim, Hyungjoon Jung, Jongwook Chung, Jung Ho Ahn, Jae W. Lee, and John Kim, "History-based Arbitration for Fairness in Processor-Interconnect of NUMA Servers", 22nd ACM Architectural Support for Programming Languages and Operating Systems (ASPLOS), Xi'an, China, April 2017.
• [HPCA '17] Jung Ho Ahn, Young Hoon Son, Yuhwan Ro, Hyunyoon Cho, Daejin Jung, Eojin Lee, and Jae W. Lee, "SOUP-N-SALAD: Allocation-oblivious Access Latency Reduction with Asymmetric DRAM Microarchitectures", 23rd IEEE International Symposium on High-Performance Computer Architecture (HPCA-23), Austin, Texas, February 2017.
• [CAL '17] Wonjun Song, Hyung-Joon Jung, Jung Ho Ahn, Jae W. Lee, and John Kim, "Evaluation of Performance Unfairness in NUMA System Architecture", IEEE Computer Architecture Letters, 16(1), 2017.
• [CAL '17] Young Hoon Son, Hyunyoon Cho, Yuhwan Ro, Jae W. Lee, and Jung Ho Ahn, "SALAD: Achieving Symmetric Access Latency with Asymmetric DRAM Architecture", IEEE Computer Architecture Letters, 16(1), 2017.
• [ELEX '17] Yongjun Lee, Yunkeuk Kim, Jinkyu Jeong, and Jae W. Lee, "DRAM Architecture for Efficient Data Lifetime Management", IEICE Electronics Express (ELEX), 14(10), 2017.
• [ICCE '16] Jun Heo, Seungjin Woo, Hakbeom Jang, Kyungyeon Yang, and Jae W. Lee, "Improving JavaScript Performance via Efficient In-memory Bytecode Caching", IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), Seoul, Korea, October 2016.
• [PACT '16] Jialu Huang, Prakash Prabhu, Thomas B. Jablin, Soumyadeep Ghosh, Sotiris Apostolakis, Jae W. Lee, and David I. August, "Speculatively Exploiting Cross-Invocation Parallelism", 25th IEEE International Conference on Parallel Architectures and Compilation Techniques (PACT-25), Haifa, Israel, September 2016.
• [ISCA '16] Channoh Kim, Sungmin Kim, Hyeon Gyu Cho, Dooyoung Kim, Jaehyeok Kim, Young H. Oh, Hakbeom Jang, and Jae W. Lee, "Short-Circuit Dispatch: Accelerating Virtual Machine Interpreters on Embedded Processors", 43rd IEEE/ACM International Symposium on Computer Architecture (ISCA-43), Seoul, Korea, June 2016. (PPTX slides)
• [IEEE TPDS '16] Jae Young Jang, Hao Wang, Euijin Kwon, Jae W. Lee, and Nam Sung Kim, "Workload-Aware Optimal Power Allocation on Single-Chip Heterogeneous Processors", IEEE Transactions on Parallel and Distributed Systems, 27(6), June 2016.
• [HPCA '16] Hakbeom Jang, Yongjun Lee, Jongwon Kim, Youngsok Kim, Jangwoo Kim, Jinkyu Jeong, and Jae W. Lee, "Efficient Footprint Caching for Tagless DRAM Caches", 22nd IEEE International Symposium on High-Performance Computer Architecture (HPCA-22), Barcelona, Spain, March 2016.
• [SparkSummit '16] Jonghyun Bae, Sangoh Jeong, Wenjing Jin, and Jae W. Lee, "ggplot2.SparkR: Rebooting ggplot2 for Scalable Big Data Visualization", Spark Summit East, New York City, New York, February 2016.
• [FAST-Poster '16] Kyungho Shin, Hyeon Gyu Cho, Donghwan Jeong, and Jae W. Lee, "ROSA: A Read-optimized Hybrid SSD Architecture", 14th USENIX Conference on File and Storage Technologies (FAST), Santa Clara, California, February 2016.
• [IEEE D&T '16] Donghwan Jeong, Young H. Oh, Yongjun Park, and Jae W. Lee, "An eDRAM-Based Approximate Register File for GPUs", IEEE Design & Test, 33(1), February 2016.
• [IEEE TCE '15] 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, 61(4), November 2015.
• [ISCA '15] Yongjun Lee, Jongwon Kim, Hakbeom Jang, Hyunggyun Yang, Jangwoo Kim, Jinkyu Jeong, and Jae W. Lee, "A Fully Associative, Tagless DRAM Cache", 42nd IEEE/ACM International Symposium on Computer Architecture (ISCA-42), Portland, Oregon, June 2015. (PPTX slides) - Cited 100+ times
• [PPoPP-Poster '15] Xianglan Piao, Channoh Kim, Younghwan Oh, Huiying Li, Jin Cheon Kim, Hanjun Kim, and Jae W. Lee, "JAWS: A JavaScript Framework for Adaptive CPU-GPU Work Sharing", 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), San Francisco, California, February 2015. (Also appeared in ACM SIGPLAN Notices, 50(8), August 2015.)
• [SC '14] Young Hoon Son, Seongil O, Hyunggyun Yang, Daejin Jung, Jung Ho Ahn, John Kim, Jangwoo Kim, and Jae W. Lee, "Microbank: Architecting Through-Silicon Interposer-Based Main-Memory Systems", IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis (SC), New Orleans, Louisiana, November 2014.
• [CCS '14] Won Jun Song, John Kim, Jae W. Lee, and Dennis Abts, "Security Vulnerability in Processor-Interconnect Router Design", 21st ACM Conference on Computer and Communications Security (CCS), Scottsdale, Arizona, November 2014.
• [ISLPED '14] Kyungsang Cho, Yongjun Lee, Younghwan Oh, Gyoo-Cheol Hwang, and Jae W. Lee, "eDRAM-Based Tiered-Reliability Memory with Applications to Low-Power Frame Buffers", IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), La Jolla, California, August 2014.
• [ISLPED '14] Wonjun Lee, Channoh Kim, and Jae W. Lee, "QPR.js: A Runtime Framework for QoS-Aware Power Optimization for Parallel JavaScript Programs", IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), La Jolla, California, August 2014.
• [UseR!-Poster '14] ChungHa Sung, JongHyun Bae, SangGi Hong, TaeJoon Song, Jae W. Lee, and Junghoon Lee, "RIGHT: An HTML Canvas and JavaScript-based Interactive Data Visualization Package for Linked Graphics", The R User Conference, Los Angeles, California, July 2014.
• [IEEE TC '14] Gwangsun Kim, Michael M. Lee, John Kim, Jae W. Lee, Dennis Abts, and Michael Marty, "Low-overhead Network-on-Chip Support for Location-oblivious Task Placement", IEEE Transactions on Computers, 63(6), June 2014.
• [WWW-Poster '14] Xianglan Piao, Channoh Kim, Younghwan Oh, Hanjun Kim, and Jae W. Lee, "Efficient CPU-GPU Work Sharing for Data-Parallel JavaScript Workloads", 23rd International World Wide Web Conference (WWW 2014), Seoul, Korea, April 2014.
• [ISCA '13] Young Hoon Son, Seongil O, Yuhwan Ro, Jae W. Lee, and Jung Ho Ahn, "Reducing Memory Access Latency with Asymmetric DRAM Bank Organizations", 40th IEEE/ACM International Symposium on Computer Architecture (ISCA-40), Tel-Aviv, Israel, June 2013. - Cited 100+ times
• [LCTES '13] Hakbeom Jang, Channoh Kim, and Jae W. Lee, "Practical Speculative Parallelization of Variable-Length Decompression Algorithms", 14th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), Seattle, Washington, June 2013. (Also appeared in ACM SIGPLAN Notices, 48(5), May 2013.)
• [ASPLOS '13] Taewook Oh, Hanjun Kim, Nick P. Johnson, Jae W. Lee, and David I. August, "Practical Automatic Loop Specialization", 18th ACM Architectural Support for Programming Languages and Operating Systems (ASPLOS), Houston, Texas, March 2013. (Also appeared in ACM SIGPLAN Notices, 48(4), April 2013.)
• [JPDC '12] Jae W. Lee, Man Cheuk Ng, and Krste Asanovic, "Globally-Synchronized Frames for Guaranteed Quality-of-Service in On-Chip Networks", Journal of Parallel and Distributed Computing (JPDC), 72(11), Elsevier: New York, November 2012.
• [CASES '12] Arun Raman, Jae W. Lee, and David I. August, "From Sequential Programming to Flexible Parallel Execution", 15th IEEE/ACM International Conference on Compilers and Synthesis for Embedded Systems (CASES), Tampere, Finland, October 2012.
• [PLDI '12] Arun Raman, Ayal Zaks, Jae W. Lee, and David I. August, "Parcae: A System for Flexible Parallel Execution", 33rd ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), Beijing, China, June 2012. (Also appeared in ACM SIGPLAN Notices, 47(6), June 2012.) - Winner, HiPEAC Paper Award
• [CGO '12] Yun Zhang, Soumyadeep Ghosh, Jialu Huang, Jae W. Lee, Scott Mahlke, and David I. August, "Runtime Asynchronous Fault Tolerance via Speculation", 10th IEEE/ACM International Symposium on Code Generation and Optimization (CGO), San Jose, California, March 2012.
• [CGO '12] Hanjun Kim, Nick P. Johnson, Jae W. Lee, Scott A. Mahlke, and David I. August, "Automatic Speculative DOALL for Clusters", 10th IEEE/ACM International Symposium on Code Generation and Optimization (CGO), San Jose, California, March 2012.
• [IJPP '12] Yun Zhang, Jae W. Lee, Nick P. Johnson, and David I. August, "DAFT: Decoupled Acyclic Fault Tolerance", International Journal of Parallel Programming, 40(1), Springer: New York, February 2012.
• [PLDI '11] Arun Raman, Hanjun Kim, Taewook Oh, Jae W. Lee, and David I. August, "Parallelism Orchestration using DoPE: the Degree of Parallelism Executive", 32nd ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), San Jose, California, June 2011. (Also appeared in ACM SIGPLAN Notices, 46(6), June 2011.)
• [MICRO '10] Hanjun Kim, Arun Raman, Feng Liu, Jae W. Lee, and David I. August, "Scalable Speculative Parallelization on Commodity Clusters", 43rd IEEE/ACM International Symposium on Microarchitecture (MICRO-43), Atlanta, Georgia, December 2010. - Highest ranked paper in double-blind review process
• [MICRO '10] Michael M. Lee, John Kim, Dennis Abts, Mike Marty, and Jae W. Lee, "Probabilistic Distance-based Arbitration: Providing Equality of Service for Many-core CMPs", 43rd IEEE/ACM International Symposium on Microarchitecture (MICRO-43), Atlanta, Georgia, December 2010.
• [PACT '10] Yun Zhang, Jae W. Lee, Nick P. Johnson, and David I. August, "DAFT: Decoupled Acyclic Fault Tolerance", 19th IEEE International Conference on Parallel Architectures and Compilation Techniques (PACT-19), Vienna, Austria, September 2010. - Cited 100+ times; Selected by the Program Committee as a "top paper" for inclusion in a special issue of IJPP
• [PACT-Poster '10] Michael M. Lee, John Kim, Dennis Abts, Mike Marty, and Jae W. Lee, "Approximating Age-Based Arbitration in On-Chip Networks", 19th IEEE International Conference on Parallel Architectures and Compilation Techniques (PACT-19), Vienna, Austria, September 2010.
• [PHD '09] Jae W. Lee, "Globally Synchronized Frames for Guaranteed Quality-of-Service in Shared Memory Systems", Ph.D Thesis, Department of Electrical Engineering and Computer Science (EECS), Massachusetts Institute of Technology, September 2009.
• [ISCA '08] Jae W. Lee, Man Cheuk Ng, and Krste Asanovic, "Globally-Synchronized Frames for Guaranteed Quality-of-Service in On-Chip Networks", 35th IEEE/ACM International Symposium on Computer Architecture (ISCA-35), Beijing, China, June 2008. - Cited 200+ times
• [ICCD '07] Jae W. Lee, Myron King, and Krste Asanovic, "Continual Hashing for Efficient Fine-Grain State Inconsistency Detection", IEEE International Conference on Computer Design (ICCD-2007), Lake Tahoe, CA, October 2007.
• [RTAS '06] Jae W. Lee and Krste Asanovic, "METERG: Measurement-Based End-to-End Performance Estimation Technique in QoS-Capable Multiprocessors", 12th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2006), San Jose, CA, April 2006.
• [TVLSI '05] Daihyun Lim, Jae W. Lee, Blaise Gassend, G. Edward Suh, Marten van Dijk, and Srinivas Devadas,"Extracting Secret Keys from Integrated Circuits", IEEE Transactions on VLSI Systems, October 2005. - Cited 1000+ times
• [ASPLOS '04] G. Edward Suh, Jae W. Lee, David Zhang and Srinivas Devadas,"Secure Program Execution via Dynamic Information Flow Tracking", 11th ACM Architectural Support for Programming Languages and Operating Systems (ASPLOS-XI), Boston, MA, October 2004. (Also appeared in ACM SIGPLAN Notices, 39(1), November 2004.) - Cited 1000+ times / Winner, ASPLOS 2014 Most Influential Paper Award
• [VLSI '04] Jae W. Lee, Daihyun Lim, Blaise Gassend, G. Edward Suh, Marten van Dijk, and Srinivas Devadas,"A Technique to Build a Secret Key in Integrated Circuits for Identification and Authentication Applications", IEEE Symposium on VLSI Circuits, Honolulu, HI, June 2004. - Cited 900+ times / Winner, Most Frequently Cited Paper Award at VLSI Symposium (2000-2009)
• [TACS '04] E. Craparo, F. Chang, J. Lee, R. Berwick, and E. Feron,"Natural Language Processing in Control of Unmanned Aerial Vehicles", Theory and Algorithms for Cooperative Systems, World Scientific, 2004.
• [IEEE Micro '02] Michael Bedford Taylor, Jason Kim, Jason Miller, David Wentzlaff, Fae Ghodrat, Ben Greenwald, Henry Hoffmann, Paul Johnson, Jae-Wook Lee, Walter Lee, Albert Ma, Arvind Saraf, Mark Seneski, Nathan Shnidman, Volker Strumpen, Matt Frank, Saman Amarasinghe and Anant Agarwal, "The Raw Microprocessor: A Computational Fabric for Software Circuits and General Purpose Programs", IEEE Micro, March/April 2002. - Cited 1300+ times


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