Tae Jun Ham

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 37

Top Topics

Approximate Nearest Neighbor Search

Top Venues

Publications

Donguk Kim, Jongsung Lee, Keun Soo Lim, Jun Heo, Tae Jun Ham, Jae W. Lee
Tree on Nonvolatile Memory. ACM Trans. Storage 20 (1) (2024)
Deok-Jae Oh, Yaebin Moon, Do Kyu Ham, Tae Jun Ham, Yongjun Park, Jae W. Lee, Jung Ho Ahn, Eojin Lee
MaPHeA: A Framework for Lightweight Memory Hierarchy-aware Profile-guided Heap Allocation. ACM Trans. Embed. Comput. Syst. 22 (1) (2023)
Jaeyeon Won, Jeyeon Si, Sam Son, Tae Jun Ham, Jae W. Lee
ULPPACK: Fast Sub-8-bit Matrix Multiply on Commodity SIMD Hardware. MLSys (2022)
Yejin Lee, Hyunji Choi, Sunhong Min, Hyunseung Lee, Sangwon Beak, Dawoon Jeong, Jae W. Lee, Tae Jun Ham
ANNA: Specialized Architecture for Approximate Nearest Neighbor Search. HPCA (2022)
Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, Jae W. Lee
L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training. CoRR (2022)
Young H. Oh, Yunho Jin, Tae Jun Ham, Jae W. Lee
Layerweaver+: A QoS-Aware Layer-Wise DNN Scheduler for Multi-Tenant Neural Processing Units. IEICE Trans. Inf. Syst. (2) (2022)
Michael Jaemin Kim, Jaehyun Park, Yeonhong Park, Wanju Doh, Namhoon Kim, Tae Jun Ham, Jae W. Lee, Jung Ho Ahn
Mithril: Cooperative Row Hammer Protection on Commodity DRAM Leveraging Managed Refresh. HPCA (2022)
Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, Jae W. Lee
L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training. ECCV (11) (2022)
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 Trans. Computers 71 (12) (2022)
Jonghyun Bae, Jongsung Lee, Yunho Jin, Sam Son, Shine Kim, Hakbeom Jang, Tae Jun Ham, Jae W. Lee
FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks. FAST (2021)
Sam Son, Seung Yul Lee, Yunho Jin, Jonghyun Bae, Jinkyu Jeong, Tae Jun Ham, Jae W. Lee, Hongil Yoon
ASAP: Fast Mobile Application Switch via Adaptive Prepaging. USENIX Annual Technical Conference (2021)
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
Accelerating Genomic Data Analytics With Composable Hardware Acceleration Framework. IEEE Micro 41 (3) (2021)
Tae Jun Ham, Yejin Lee, Seong Hoon Seo, Soosung Kim, Hyunji Choi, Sung Jun Jung, Jae W. Lee
ELSA: Hardware-Software Co-design for Efficient, Lightweight Self-Attention Mechanism in Neural Networks. ISCA (2021)
Michael Jaemin Kim, Jaehyun Park, Yeonhong Park, Wanju Doh, Namhoon Kim, Tae Jun Ham, Jae W. Lee, Jung Ho Ahn
Mithril: Cooperative Row Hammer Protection on Commodity DRAM Leveraging Managed Refresh. CoRR (2021)
Shine Kim, Yunho Jin, Gina Sohn, Jonghyun Bae, Tae Jun Ham, Jae W. Lee
Behemoth: A Flash-centric Training Accelerator for Extreme-scale DNNs. FAST (2021)
Yejin Lee, Seong Hoon Seo, Hyunji Choi, Hyoung Uk Sul, Soosung Kim, Jae W. Lee, Tae Jun Ham
MERCI: efficient embedding reduction on commodity hardware via sub-query memoization. ASPLOS (2021)
Young H. Oh, Seonghak Kim, Yunho Jin, Sam Son, Jonghyun Bae, Jongsung Lee, Yeonhong Park, Dong Uk Kim, Tae Jun Ham, Jae W. Lee
Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-Wise Scheduling. HPCA (2021)
Jun Heo, Seung Yul Lee, Sunhong Min, Yeonhong Park, Sungjun Jung, Tae Jun Ham, Jae W. Lee
BOSS: Bandwidth-Optimized Search Accelerator for Storage-Class Memory. ISCA (2021)
Deok-Jae Oh, Yaebin Moon, Eojin Lee, Tae Jun Ham, Yongjun Park, Jae W. Lee, Jung Ho Ahn
MaPHeA: a lightweight memory hierarchy-aware profile-guided heap allocation framework. LCTES (2021)
Jun Heo, Jaeyeon Won, Yejin Lee, Shivam Bharuka, Jaeyoung Jang, Tae Jun Ham, Jae W. Lee
IIU: Specialized Architecture for Inverted Index Search. ASPLOS (2020)
Jaeyoung Jang, Sungjun Jung, Sunmin Jeong, Jun Heo, Hoon Shin, Tae Jun Ham, Jae W. Lee
A Specialized Architecture for Object Serialization with Applications to Big Data Analytics. ISCA (2020)
Gyusun Lee, Wenjing Jin, Wonsuk Song, Jeonghun Gong, Jonghyun Bae, Tae Jun Ham, Jae W. Lee, Jinkyu Jeong
A Case for Hardware-Based Demand Paging. ISCA (2020)
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
Genesis: A Hardware Acceleration Framework for Genomic Data Analysis. ISCA (2020)
Opeoluwa Matthews, Aninda Manocha, Davide Giri, Marcelo Orenes-Vera, Esin Tureci, Tyler Sorensen, Tae Jun Ham, Juan L. Aragón, Luca P. Carloni, Margaret Martonosi
The MosaicSim Simulator (Full Technical Report). CoRR (2020)
Yeonhong Park, Seung Yul Lee, Hoon Shin, Jun Heo, Tae Jun Ham, Jae W. Lee
Unlocking Wordline-level Parallelism for Fast Inference on RRAM-based DNN Accelerator. ICCAD (2020)
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
: Accelerating Attention Mechanisms in Neural Networks with Approximation. HPCA (2020)
Yeonhong Park, Woosuk Kwon, Eojin Lee, Tae Jun Ham, Jung Ho Ahn, Jae W. Lee
Graphene: Strong yet Lightweight Row Hammer Protection. MICRO (2020)
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
: Accelerating Attention Mechanisms in Neural Networks with Approximation. CoRR (2020)
Opeoluwa Matthews, Aninda Manocha, Davide Giri, Marcelo Orenes-Vera, Esin Tureci, Tyler Sorensen, Tae Jun Ham, Juan L. Aragón, Luca P. Carloni, Margaret Martonosi
MosaicSim: A Lightweight, Modular Simulator for Heterogeneous Systems. ISPASS (2020)
Gyusun Lee, Seokha Shin, Wonsuk Song, Tae Jun Ham, Jae W. Lee, Jinkyu Jeong
Asynchronous I/O Stack: A Low-latency Kernel I/O Stack for Ultra-Low Latency SSDs. USENIX Annual Technical Conference (2019)
Tae Jun Ham, Juan L. Aragón, Margaret Martonosi
Efficient Data Supply for Parallel Heterogeneous Architectures. ACM Trans. Archit. Code Optim. 16 (2) (2019)
Jonghyun Bae, Hakbeom Jang, Jeonghun Gong, Wenjing Jin, Shine Kim, Jaeyoung Jang, Tae Jun Ham, Jinkyu Jeong, Jae W. Lee
SSDStreamer: Specializing I/O Stack for Large-Scale Machine Learning. IEEE Micro 39 (5) (2019)
Jaeyoung Jang, Jun Heo, Yejin Lee, Jaeyeon Won, Seonghak Kim, Sungjun Jung, Hakbeom Jang, Tae Jun Ham, Jae W. Lee
Charon: Specialized Near-Memory Processing Architecture for Clearing Dead Objects in Memory. MICRO (2019)
Hakbeom Jang, Jonghyun Bae, Tae Jun Ham, Jae W. Lee
Eager Memory Management for In-Memory Data Analytics. IEICE Trans. Inf. Syst. (3) (2019)
Shine Kim, Jonghyun Bae, Hakbeom Jang, Wenjing Jin, Jeonghun Gong, SeungYeon Lee, Tae Jun Ham, Jae W. Lee
Practical Erase Suspension for Modern Low-latency SSDs. USENIX Annual Technical Conference (2019)
Tae Jun Ham, Juan L. Aragón, Margaret Martonosi
Decoupling Data Supply from Computation for Latency-Tolerant Communication in Heterogeneous Architectures. ACM Trans. Archit. Code Optim. 14 (2) (2017)
Tae Jun Ham, Lisa Wu, Narayanan Sundaram, Nadathur Satish, Margaret Martonosi
Graphicionado: A high-performance and energy-efficient accelerator for graph analytics. MICRO (2016)
Tae Jun Ham, Juan L. Aragón, Margaret Martonosi
DeSC: decoupled supply-compute communication management for heterogeneous architectures. MICRO (2015)
Tae Jun Ham, Bharath K. Chelepalli, Neng Xue, Benjamin C. Lee
Disintegrated control for energy-efficient and heterogeneous memory systems. HPCA (2013)