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2020 – today
- 2024
[c8]Divya Kiran Kadiyala, Saeed Rashidi, Taekyung Heo, Abhimanyu Bambhaniya, Tushar Krishna, Alexandros Daglis:
Leveraging Memory Expansion to Accelerate Large-Scale DL Training. ISPASS 2024: 292-294- [c7]Taekyung Heo
, Seunghyo Kang, Sanghyeon Lee, Soojin Hwang, Joongun Park, Jaehyuk Huh:
Supporting Trusted Virtual Machines with Hardware-Based Secure Remote Memory. ISMM 2024: 43-56 - 2023
- [c6]William Won, Taekyung Heo, Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna:
ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale. ISPASS 2023: 283-294 - [i4]William Won, Taekyung Heo, Saeed Rashidi, Srinivas Sridharan, Sudarshan Srinivasan, Tushar Krishna:
ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale. CoRR abs/2303.14006 (2023) - [i3]Srinivas Sridharan, Taekyung Heo, Louis Feng, Zhaodong Wang, Matt Bergeron, Wenyin Fu, Shengbao Zheng, Brian Coutinho, Saeed Rashidi, Changhai Man, Tushar Krishna:
Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces. CoRR abs/2305.14516 (2023) - 2022
- [j1]Taekyung Heo, Yang Wang, Wei Cui, Jaehyuk Huh, Lintao Zhang:
Adaptive Page Migration Policy With Huge Pages in Tiered Memory Systems. IEEE Trans. Computers 71(1): 53-68 (2022) - [i2]Divya Kiran Kadiyala, Saeed Rashidi, Taekyung Heo, Abhimanyu Rajeshkumar Bambhaniya, Tushar Krishna, Alexandros Daglis:
COMET: A Comprehensive Cluster Design Methodology for Distributed Deep Learning Training. CoRR abs/2211.16648 (2022) - 2021
- [c5]Daehyeon Baek, Soojin Hwang, Taekyung Heo, Daehoon Kim, Jaehyuk Huh:
InnerSP: A Memory Efficient Sparse Matrix Multiplication Accelerator with Locality-Aware Inner Product Processing. PACT 2021: 116-128 - [i1]Taekyung Heo, Seunghyo Kang, Sanghyeon Lee, Soojin Hwang, Jaehyuk Huh:
Hardware-assisted Trusted Memory Disaggregation for Secure Far Memory. CoRR abs/2108.11507 (2021)
2010 – 2019
- 2018
- [c4]Jeongseob Ahn, Chang Hyun Park, Taekyung Heo, Jaehyuk Huh:
Accelerating critical OS services in virtualized systems with flexible micro-sliced cores. EuroSys 2018: 29:1-29:14 - 2017
- [c3]Chang Hyun Park, Taekyung Heo, Jungi Jeong, Jaehyuk Huh:
Hybrid TLB Coalescing: Improving TLB Translation Coverage under Diverse Fragmented Memory Allocations. ISCA 2017: 444-456 - 2016
- [c2]Seikwon Kim, Shinyeong Hyun, Taekyung Heo, Daegil Im, Jaehyuk Huh:
Blind: Power saving color transform method for OLED displays. ICCE 2016: 500-501 - [c1]Chang Hyun Park, Taekyung Heo, Jaehyuk Huh:
Efficient Synonym Filtering and Scalable Delayed Translation for Hybrid Virtual Caching. ISCA 2016: 90-102
Coauthor Index
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