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2020 – today
- 2024
[j6]Hyungkyu Ham
, Hyunuk Cho, Minjae Kim, Jueon Park, Jeongmin Hong, Hyojin Sung, Eunhyeok Park, Euicheol Lim, Gwangsun Kim:
Non-Invasive, Memory Access-Triggered Near-Data Processing for DNN Training Acceleration on GPUs. IEEE Access 12: 142651-142667 (2024)- [j5]Hyungkyu Ham, Wonhyuk Yang, Yunseon Shin, Okkyun Woo, Guseul Heo, Sangyeop Lee, Jongse Park, Gwangsun Kim:
ONNXim: A Fast, Cycle-Level Multi-Core NPU Simulator. IEEE Comput. Archit. Lett. 23(2): 219-222 (2024) - [c19]Guseul Heo, Sangyeop Lee, Jaehong Cho, Hyunmin Choi, Sanghyeon Lee, Hyungkyu Ham, Gwangsun Kim, Divya Mahajan, Jongse Park:
NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing. ASPLOS (3) 2024: 722-737 - [c18]Jeongmin Hong, Sungjun Cho, Geonwoo Park, Wonhyuk Yang, Young-Ho Gong, Gwangsun Kim:
Bandwidth-Effective DRAM Cache for GPU s with Storage-Class Memory. HPCA 2024: 139-155 - [c17]Shinnung Jeong, Sungjun Cho, Yongwoo Lee, Hyunjun Park, Seonyeong Heo, Gwangsun Kim, Youngsok Kim, Hanjun Kim:
CR2: Community-aware Compressed Regular Representation for Graph Processing on a GPU. ICPP 2024: 544-554 - [c16]Hyungkyu Ham, Jeongmin Hong, Geonwoo Park, Yunseon Shin, Okkyun Woo, Wonhyuk Yang, Jinhoon Bae, Eunhyeok Park, Hyojin Sung, Euicheol Lim, Gwangsun Kim:
Low-Overhead General-Purpose Near-Data Processing in CXL Memory Expanders. MICRO 2024: 594-611 - [i4]Guseul Heo, Sangyeop Lee, Jaehong Cho, Hyunmin Choi, Sanghyeon Lee, Hyungkyu Ham, Gwangsun Kim, Divya Mahajan, Jongse Park:
NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing. CoRR abs/2403.00579 (2024) - [i3]Jeongmin Hong, Sungjun Cho, Geonwoo Park, Wonhyuk Yang, Young-Ho Gong, Gwangsun Kim:
Bandwidth-Effective DRAM Cache for GPUs with Storage-Class Memory. CoRR abs/2403.09358 (2024) - [i2]Hyungkyu Ham, Jeongmin Hong, Geonwoo Park, Yunseon Shin, Okkyun Woo, Wonhyuk Yang, Jinhoon Bae, Eunhyeok Park, Hyojin Sung, Euicheol Lim, Gwangsun Kim:
Low-overhead General-purpose Near-Data Processing in CXL Memory Expanders. CoRR abs/2404.19381 (2024) - [i1]Hyungkyu Ham, Wonhyuk Yang, Yunseon Shin, Okkyun Woo, Guseul Heo, Sangyeop Lee, Jongse Park, Gwangsun Kim:
ONNXim: A Fast, Cycle-level Multi-core NPU Simulator. CoRR abs/2406.08051 (2024) - 2022
- [j4]Jeongmin Hong, Sungjun Cho, Gwangsun Kim:
Overcoming Memory Capacity Wall of GPUs With Heterogeneous Memory Stack. IEEE Comput. Archit. Lett. 21(2): 61-64 (2022) - [c15]Hans Kasan, Gwangsun Kim, Yung Yi, John Kim:
Dynamic global adaptive routing in high-radix networks. ISCA 2022: 771-783 - 2021
- [j3]Hyungkyu Ham, Hyunuk Cho, Minjae Kim, Jueon Park, Jeongmin Hong, Hyojin Sung, Eunhyeok Park, Euicheol Lim, Gwangsun Kim:
Near-Data Processing in Memory Expander for DNN Acceleration on GPUs. IEEE Comput. Archit. Lett. 20(2): 171-174 (2021)
2010 – 2019
- 2018
- [c14]Gwangsun Kim, Hayoung Choi, John Kim:
TCEP: Traffic Consolidation for Energy-Proportional High-Radix Networks. ISCA 2018: 712-725 - 2017
- [c13]WonJun Song, Gwangsun Kim, Hyungjoon Jung, Jongwook Chung, Jung Ho Ahn, Jae W. Lee, John Kim:
History-Based Arbitration for Fairness in Processor-Interconnect of NUMA Servers. ASPLOS 2017: 765-777 - [c12]Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh:
Toward standardized near-data processing with unrestricted data placement for GPUs. SC 2017: 24 - 2016
- [j2]Hanjoon Kim, Gwangsun Kim, Hwasoo Yeo, John Kim, Seung Ryoul Maeng:
Design and Analysis of Hybrid Flow Control for Hierarchical Ring Network-on-Chip. IEEE Trans. Computers 65(2): 480-494 (2016) - [c11]Byungchul Hong, Gwangsun Kim, Jung Ho Ahn, Yongkee Kwon, Hongsik Kim, John Kim:
Accelerating Linked-list Traversal Through Near-Data Processing. PACT 2016: 113-124 - [c10]Gwangsun Kim, Jiyun Jeong, John Kim, Mark Stephenson:
Automatically Exploiting Implicit Pipeline Parallelism from Multiple Dependent Kernels for GPUs. PACT 2016: 341-352 - [c9]Minseok Lee, Gwangsun Kim, John Kim, Woong Seo, Yeon-Gon Cho, Soojung Ryu:
iPAWS: Instruction-issue pattern-based adaptive warp scheduling for GPGPUs. HPCA 2016: 370-381 - [c8]Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler:
Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems. ISCA 2016: 204-216 - [c7]Gwangsun Kim, Changhyun Kim, Jiyun Jeong, Mike Parker, John Kim:
Contention-based congestion management in large-scale networks. MICRO 2016: 30:1-30:13 - 2015
- [c6]Jongmin Won, Gwangsun Kim, John Kim, Ted Jiang, Mike Parker, Steve Scott:
Overcoming far-end congestion in large-scale networks. HPCA 2015: 415-427 - 2014
- [j1]Gwangsun Kim, Michael Mihn-Jong Lee, John Kim, Jae W. Lee, Dennis Abts, Michael R. Marty:
Low-Overhead Network-on-Chip Support for Location-Oblivious Task Placement. IEEE Trans. Computers 63(6): 1487-1500 (2014) - [c5]Hanjoon Kim, Gwangsun Kim, Seungryoul Maeng, Hwasoo Yeo, John Kim:
Transportation-network-inspired network-on-chip. HPCA 2014: 332-343 - [c4]Gwangsun Kim, Minseok Lee, Jiyun Jeong, John Kim:
Multi-GPU System Design with Memory Networks. MICRO 2014: 484-495 - 2013
- [c3]Gwangsun Kim, John Kim, Jung Ho Ahn, Jaeha Kim:
Memory-centric system interconnect design with Hybrid Memory Cubes. PACT 2013: 145-155 - 2012
- [c2]Hanjoon Kim, Gwangsun Kim, John Kim:
Scalable on-chip network in power constrained manycore processors. IGCC 2012: 1-2 - 2011
- [c1]Gwangsun Kim, John Kim, Sungjoo Yoo:
FlexiBuffer: reducing leakage power in on-chip network routers. DAC 2011: 936-941
Coauthor Index
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