Tae Jun Ham

According to our database, Tae Jun Ham authored at least 37 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An LSM Tree Augmented with B⁺ Tree on Nonvolatile Memory.

Donguk Kim, Jongsung Lee, Keun Soo Lim, Jun Heo, Tae Jun Ham, Jae W. Lee

ACM Trans. Storage, 2024

2023

MaPHeA: A Framework for Lightweight Memory Hierarchy-aware Profile-guided Heap Allocation.

Deok-Jae Oh, Yaebin Moon, Do Kyu Ham, Tae Jun Ham, Yongjun Park, Jae W. Lee, Jung Ho Ahn, Eojin Lee

ACM Trans. Embed. Comput. Syst., 2023

2022

Architecting a Flash-Based Storage System for Low-Cost Inference of Extreme-Scale DNNs.

Yunho Jin, Shine Kim, Tae Jun Ham, Jae W. Lee

IEEE Trans. Computers, 2022

Layerweaver+: A QoS-Aware Layer-Wise DNN Scheduler for Multi-Tenant Neural Processing Units.

Young H. Oh, Yunho Jin, Tae Jun Ham, Jae W. Lee

IEICE Trans. Inf. Syst., 2022

ULPPACK: Fast Sub-8-bit Matrix Multiply on Commodity SIMD Hardware.

Jaeyeon Won, Jeyeon Si, Sam Son, Tae Jun Ham, Jae W. Lee

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

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

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

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

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training.

Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, Jae W. Lee

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Accelerating Genomic Data Analytics With Composable Hardware Acceleration Framework.

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

IEEE Micro, 2021

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

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

MaPHeA: a lightweight memory hierarchy-aware profile-guided heap allocation framework.

Deok-Jae Oh, Yaebin Moon, Eojin Lee, Tae Jun Ham, Yongjun Park, Jae W. Lee, Jung Ho Ahn

Proceedings of the LCTES '21: 22nd ACM SIGPLAN/SIGBED International Conference on Languages, 2021

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

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

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

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

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

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

Behemoth: A Flash-centric Training Accelerator for Extreme-scale DNNs.

Shine Kim, Yunho Jin, Gina Sohn, Jonghyun Bae, Tae Jun Ham, Jae W. Lee

Proceedings of the 19th USENIX Conference on File and Storage Technologies, 2021

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

Proceedings of the 19th USENIX Conference on File and Storage Technologies, 2021

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

Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020

The MosaicSim Simulator (Full Technical Report).

Opeoluwa Matthews, Aninda Manocha, Davide Giri, Marcelo Orenes-Vera, Esin Tureci, Tyler Sorensen, Tae Jun Ham, Juan L. Aragón, Luca P. Carloni, Margaret Martonosi

CoRR, 2020

Graphene: Strong yet Lightweight Row Hammer Protection.

Yeonhong Park, Woosuk Kwon, Eojin Lee, Tae Jun Ham, Jung Ho Ahn, Jae W. Lee

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

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. Aragón, Luca P. Carloni, Margaret Martonosi

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2020

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

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

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

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

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

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

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

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

A³: Accelerating Attention Mechanisms in Neural Networks with Approximation.

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

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

IIU: Specialized Architecture for Inverted Index Search.

Jun Heo, Jaeyeon Won, Yejin Lee, Shivam Bharuka, Jaeyoung Jang, Tae Jun Ham, Jae W. Lee

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2019

Efficient Data Supply for Parallel Heterogeneous Architectures.

Tae Jun Ham, Juan L. Aragón, Margaret Martonosi

ACM Trans. Archit. Code Optim., 2019

SSDStreamer: Specializing I/O Stack for Large-Scale Machine Learning.

Jonghyun Bae, Hakbeom Jang, Jeonghun Gong, Wenjing Jin, Shine Kim, Jaeyoung Jang, Tae Jun Ham, Jinkyu Jeong, Jae W. Lee

IEEE Micro, 2019

Eager Memory Management for In-Memory Data Analytics.

Hakbeom Jang, Jonghyun Bae, Tae Jun Ham, Jae W. Lee

IEICE Trans. Inf. Syst., 2019

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

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

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

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

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

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

2018

Data Access Optimization in Accelerator-Oriented Heterogeneous Architecture through Decoupling and Memory Hierarchy Specialization

Tae Jun Ham

PhD thesis, 2018

2017

Decoupling Data Supply from Computation for Latency-Tolerant Communication in Heterogeneous Architectures.

Tae Jun Ham, Juan L. Aragón, Margaret Martonosi

ACM Trans. Archit. Code Optim., 2017

2016

Graphicionado: A high-performance and energy-efficient accelerator for graph analytics.

Tae Jun Ham, Lisa Wu, Narayanan Sundaram, Nadathur Satish, Margaret Martonosi

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

2015

DeSC: decoupled supply-compute communication management for heterogeneous architectures.

Tae Jun Ham, Juan L. Aragón, Margaret Martonosi

Proceedings of the 48th International Symposium on Microarchitecture, 2015

2013

Disintegrated control for energy-efficient and heterogeneous memory systems.

Tae Jun Ham, Bharath K. Chelepalli, Neng Xue, Benjamin C. Lee

Proceedings of the 19th IEEE International Symposium on High Performance Computer Architecture, 2013