![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
Tae Jun Ham
Person information
- affiliation: Seoul National University, Korea
Refine list
![note](https://dblp1.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Books and Theses
- 2018
- [b1]Tae Jun Ham:
Data Access Optimization in Accelerator-Oriented Heterogeneous Architecture through Decoupling and Memory Hierarchy Specialization. Princeton University, USA, 2018
Journal Articles
- 2024
- [j9]Donguk Kim
, Jongsung Lee
, Keun Soo Lim
, Jun Heo
, Tae Jun Ham
, Jae W. Lee
:
An LSM Tree Augmented with B+ Tree on Nonvolatile Memory. ACM Trans. Storage 20(1): 4:1-4:24 (2024) - 2023
- [j8]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): 2:1-2:28 (2023) - 2022
- [j7]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. 105-D(2): 427-431 (2022) - [j6]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): 3153-3164 (2022) - 2021
- [j5]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): 42-49 (2021) - 2019
- [j4]Hakbeom Jang, Jonghyun Bae, Tae Jun Ham, Jae W. Lee:
Eager Memory Management for In-Memory Data Analytics. IEICE Trans. Inf. Syst. 102-D(3): 632-636 (2019) - [j3]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): 73-81 (2019) - [j2]Tae Jun Ham
, Juan L. Aragón
, Margaret Martonosi:
Efficient Data Supply for Parallel Heterogeneous Architectures. ACM Trans. Archit. Code Optim. 16(2): 9:1-9:23 (2019) - 2017
- [j1]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): 16:1-16:27 (2017)
Conference and Workshop Papers
- 2022
- [c26]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: 171-188 - [c25]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: 169-183 - [c24]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: 1156-1169 - [c23]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 - 2021
- [c22]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: 302-313 - [c21]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: 371-385 - [c20]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: 387-401 - [c19]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: 584-597 - [c18]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: 279-291 - [c17]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: 692-705 - [c16]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: 24-36 - [c15]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 ATC 2021: 365-380 - 2020
- [c14]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: 1233-1245 - [c13]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:
A3: Accelerating Attention Mechanisms in Neural Networks with Approximation. HPCA 2020: 328-341 - [c12]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: 103:1-103:9 - [c11]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: 254-267 - [c10]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: 322-334 - [c9]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: 1103-1116 - [c8]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: 136-148 - [c7]Yeonhong Park, Woosuk Kwon, Eojin Lee, Tae Jun Ham, Jung Ho Ahn
, Jae W. Lee:
Graphene: Strong yet Lightweight Row Hammer Protection. MICRO 2020: 1-13 - 2019
- [c6]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: 726-739 - [c5]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 ATC 2019: 603-616 - [c4]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 ATC 2019: 813-820 - 2016
- [c3]Tae Jun Ham, Lisa Wu
, Narayanan Sundaram, Nadathur Satish, Margaret Martonosi:
Graphicionado: A high-performance and energy-efficient accelerator for graph analytics. MICRO 2016: 56:1-56:13 - 2015
- [c2]Tae Jun Ham, Juan L. Aragón
, Margaret Martonosi:
DeSC: decoupled supply-compute communication management for heterogeneous architectures. MICRO 2015: 191-203 - 2013
- [c1]Tae Jun Ham, Bharath K. Chelepalli, Neng Xue, Benjamin C. Lee:
Disintegrated control for energy-efficient and heterogeneous memory systems. HPCA 2013: 424-435
Informal and Other Publications
- 2022
- [i4]Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, Jae W. Lee:
L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training. CoRR abs/2208.08711 (2022) - 2021
- [i3]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 abs/2108.06703 (2021) - 2020
- [i2]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:
A3: Accelerating Attention Mechanisms in Neural Networks with Approximation. CoRR abs/2002.10941 (2020) - [i1]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 abs/2004.07415 (2020)
Coauthor Index
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-20 22:57 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint