Tae Jun Ham
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
11
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | Reliable and Cost-Effective Exploratory Data Analysis via Graph-Guided RAG. | Mossad Helali, Yutai Luo, Tae Jun Ham, Jim Plotts, Ashwin Chaugule, Jichuan Chang, Parthasarathy Ranganathan, Essam Mansour |
| 2025 | SAC | SkipLSM: Fast Retrieval of Hot Key-Value Pairs on LSM Tree. | Jongsung Lee, Sam Son, Jonghyun Bae, Yunho Jin, Tae Jun Ham, Jae W. Lee |
| 2022 | ECCV | L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training. | Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, Jae W. Lee |
| 2022 | HPCA | Mithril: Cooperative Row Hammer Protection on Commodity DRAM Leveraging Managed Refresh. | Michael Jaemin Kim, Jaehyun Park, Yeonhong Park, Wanju Doh, Namhoon Kim, Tae Jun Ham, Jae W. Lee, Jung Ho Ahn |
| 2022 | HPCA | ANNA: Specialized Architecture for Approximate Nearest Neighbor Search. | Yejin Lee, Hyunji Choi, Sunhong Min, Hyunseung Lee, Sangwon Beak, Dawoon Jeong, Jae W. Lee, Tae Jun Ham |
| 2021 | ASPLOS | MERCI: efficient embedding reduction on commodity hardware via sub-query memoization. | Yejin Lee, Seong Hoon Seo, Hyunji Choi, Hyoung Uk Sul, Soosung Kim, Jae W. Lee, Tae Jun Ham |
| 2021 | FAST | FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks. | Jonghyun Bae, Jongsung Lee, Yunho Jin, Sam Son, Shine Kim, Hakbeom Jang, Tae Jun Ham, Jae W. Lee |
| 2021 | FAST | Behemoth: A Flash-centric Training Accelerator for Extreme-scale DNNs. | Shine Kim, Yunho Jin, Gina Sohn, Jonghyun Bae, Tae Jun Ham, Jae W. Lee |
| 2021 | HPCA | Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-Wise Scheduling. | 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 | ISCA | BOSS: Bandwidth-Optimized Search Accelerator for Storage-Class Memory. | Jun Heo, Seung Yul Lee, Sunhong Min, Yeonhong Park, Sungjun Jung, Tae Jun Ham, Jae W. Lee |
| 2021 | ISCA | ELSA: Hardware-Software Co-design for Efficient, Lightweight Self-Attention Mechanism in Neural Networks. | Tae Jun Ham, Yejin Lee, Seong Hoon Seo, Soosung Kim, Hyunji Choi, Sung Jun Jung, Jae W. Lee |
| 2021 | USENIX | ASAP: Fast Mobile Application Switch via Adaptive Prepaging. | Sam Son, Seung Yul Lee, Yunho Jin, Jonghyun Bae, Jinkyu Jeong, Tae Jun Ham, Jae W. Lee, Hongil Yoon |
| 2020 | ASPLOS | IIU: Specialized Architecture for Inverted Index Search. | Jun Heo, Jaeyeon Won, Yejin Lee, Shivam Bharuka, Jaeyoung Jang, Tae Jun Ham, Jae W. Lee |
| 2020 | HPCA | A | 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 | ICCAD | Unlocking Wordline-level Parallelism for Fast Inference on RRAM-based DNN Accelerator. | Yeonhong Park, Seung Yul Lee, Hoon Shin, Jun Heo, Tae Jun Ham, Jae W. Lee |
| 2020 | ISCA | Genesis: A Hardware Acceleration Framework for Genomic Data Analysis. | 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 | ISCA | A Specialized Architecture for Object Serialization with Applications to Big Data Analytics. | Jaeyoung Jang, Sungjun Jung, Sunmin Jeong, Jun Heo, Hoon Shin, Tae Jun Ham, Jae W. Lee |
| 2020 | ISCA | A Case for Hardware-Based Demand Paging. | Gyusun Lee, Wenjing Jin, Wonsuk Song, Jeonghun Gong, Jonghyun Bae, Tae Jun Ham, Jae W. Lee, Jinkyu Jeong |
| 2020 | ISPASS | MosaicSim: A Lightweight, Modular Simulator for Heterogeneous Systems. | Opeoluwa Matthews, Aninda Manocha, Davide Giri, Marcelo Orenes-Vera, Esin Tureci, Tyler Sorensen, Tae Jun Ham, Juan L. Aragn, Luca P. Carloni, Margaret Martonosi |
| 2020 | MICRO | Graphene: Strong yet Lightweight Row Hammer Protection. | Yeonhong Park, Woosuk Kwon, Eojin Lee, Tae Jun Ham, Jung Ho Ahn, Jae W. Lee |
| 2019 | MICRO | Charon: Specialized Near-Memory Processing Architecture for Clearing Dead Objects in Memory. | Jaeyoung Jang, Jun Heo, Yejin Lee, Jaeyeon Won, Seonghak Kim, Sungjun Jung, Hakbeom Jang, Tae Jun Ham, Jae W. Lee |
| 2019 | USENIX | Practical Erase Suspension for Modern Low-latency SSDs. | Shine Kim, Jonghyun Bae, Hakbeom Jang, Wenjing Jin, Jeonghun Gong, SeungYeon Lee, Tae Jun Ham, Jae W. Lee |
| 2019 | USENIX | Asynchronous I/O Stack: A Low-latency Kernel I/O Stack for Ultra-Low Latency SSDs. | Gyusun Lee, Seokha Shin, Wonsuk Song, Tae Jun Ham, Jae W. Lee, Jinkyu Jeong |
| 2016 | MICRO | Graphicionado: A high-performance and energy-efficient accelerator for graph analytics. | Tae Jun Ham, Lisa Wu, Narayanan Sundaram, Nadathur Satish, Margaret Martonosi |
| 2015 | MICRO | DeSC: decoupled supply-compute communication management for heterogeneous architectures. | Tae Jun Ham, Juan L. Aragn, Margaret Martonosi |
| 2013 | HPCA | Disintegrated control for energy-efficient and heterogeneous memory systems. | Tae Jun Ham, Bharath K. Chelepalli, Neng Xue, Benjamin C. Lee |