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ORCIDMing-Hung Chen
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2020 – today
- 2025
[c30]Apoorve Mohan
, Robert Walkup, Bengi Karacali, Ming-Hung Chen, Abdullah Kayi, Liran Schour, Shweta Salaria, Sophia Wen, I-Hsin Chung, Abdul Alim, Constantinos Evangelinos, Lixiang Luo, Marc Dombrowa, Laurent Schares, Ali Sydney, Pavlos Maniotis, Sandhya Koteshwara, Brent Tang, Joel Belog, Rei Odaira, Vasily Tarasov, Eran Gampel, Drew Thorstensen, Talia Gershon, Seetharami Seelam:
Vela: A Virtualized LLM Training System with GPU Direct RoCE. ASPLOS (2) 2025: 1348-1364- [c29]Yan-Mei Tang, Wei-Fang Sun, Hsu-Tzu Ting, Ming-Hung Chen, I-Hsin Chung, Jerry Chou:
PCIe Bandwidth-Aware Scheduling for Multi-Instance GPUs. HPC Asia 2025: 43-51 - [c28]Chuan-Ming Ou, Yong-Xuan Huang, Ming-Hung Chen, I-Hsin Chung, Jerry Chou:
Fast Malicious Packets Inspection Framework Using Converged Accelerator. HPC Asia 2025: 153-161 - [i4]Hsu-Tzu Ting, Jerry Chou, Ming-Hung Chen, I-Hsin Chung:
An Online Fragmentation-Aware Scheduler for Managing GPU-Sharing Workloads on Multi-Instance GPUs. CoRR abs/2512.16099 (2025) - 2024
- [j8]Jia-Wei Chang, Ming-Hung Chen, Hao-Shang Ma, Hao-Lan Liu:
Human movement science-informed multi-task spatio temporal graph convolutional networks for fitness action recognition and evaluation. Appl. Soft Comput. 164: 111963 (2024) - [c27]Hsu-Tzu Ting, Jerry Chou, Ming-Hung Chen, I-Hsin Chung, Huaiyang Pan:
KubeComp: A Resource-centric Composable Container Orchestrator for GPU Pooling. UCC 2024: 27-36 - [i3]Talia Gershon, Seetharami Seelam, Brian Belgodere, Milton Bonilla, Lan Hoang, Danny Barnett, I-Hsin Chung, Apoorve Mohan, Ming-Hung Chen, Lixiang Luo, Robert Walkup, Constantinos Evangelinos, Shweta Salaria, Marc Dombrowa, Yoonho Park, Apo Kayi, Liran Schour, Alim Alim, Ali Sydney, Pavlos Maniotis, Laurent Schares, Bernard Metzler, Bengi Karacali-Akyamac, Sophia Wen, Tatsuhiro Chiba, Sunyanan Choochotkaew, Takeshi Yoshimura, Claudia Misale, Tonia Elengikal, Kevin O. Connor, Zhuoran Liu, Richard Molina, Lars Schneidenbach, James Caden, Christopher Laibinis, Carlos Fonseca, Vasily Tarasov, Swaminathan Sundararaman, Frank B. Schmuck, Scott Guthridge, Jeremy Cohn, Marc Eshel, Paul Muench, Runyu Liu, William Pointer, Drew Wyskida, Bob Krull, Ray Rose, Brent Wolfe, William Cornejo, John Walter, Colm Malone, Clifford Perucci, Frank Franco, Nigel Hinds, Bob Calio, Pavel Druyan, Robert Kilduff, John Kienle, Connor McStay, Andrew Figueroa, Matthew Connolly, Edie Fost, Gina Roma, Jake Fonseca, Ido Levy, Michele Payne, Ryan Schenkel, Amir Malki, Lion Schneider, Aniruddha Narkhede, Shekeba Moshref, Alexandra Kisin, Olga Dodin, Bill Rippon, Henry Wrieth, John Ganci, Johnny Colino, Donna Habeger-Rose, Rakesh Pandey, Aditya Gidh, Aditya Gaur, Dennis Patterson, Samsuddin Salmani, Rambilas Varma, Rumana Rumana, Shubham Sharma, Mayank Mishra, Rameswar Panda, Aditya Prasad, Matt Stallone, Gaoyuan Zhang, Yikang Shen, David Cox, Ruchir Puri, Dakshi Agrawal, Drew Thorstensen, Joel Belog, Brent Tang:
The infrastructure powering IBM's Gen AI model development. CoRR abs/2407.05467 (2024) - 2023
- [c26]Laurent Schares, Asser N. Tantawi, Pavlos Maniotis, Ming-Hung Chen, Claudia Misale, Seetharami Seelam, Hao Yu:
Chic-sched: a HPC Placement-Group Scheduler on Hierarchical Topologies with Constraints. IPDPS 2023: 424-434 - 2022
- [c25]Chia-Ting Hung, Jerry Chou, Ming-Hung Chen, I-Hsin Chung:
A Locality-aware Cooperative Distributed Memory Caching for Parallel Data Analytic Applications. IPDPS Workshops 2022: 1111-1117 - [c24]Daniel W. Bliss, Tutu Ajayi, Ali Akoglu, Ilkin Aliyev, Toygun Basaklar, Leul Belayneh, David T. Blaauw, John S. Brunhaver, Chaitali Chakrabarti, Liangliang Chang, Kuan-Yu Chen, Ming-Hung Chen, Xing Chen, Alex R. Chiriyath, Alhad Daftardar, Ronald G. Dreslinski, Arindam Dutta, Allen-Jasmin Farcas, Yukang Fu, A. Alper Goksoy, Xin He, Md Sahil Hassan,