Sangkug Lym - RankMe

18 papers A* 5A 2B 1Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scalable Training of Mixture-of-Experts Models with Megatron Core. CoRR Zijie Yan, Hongxiao Bai, Xin Yao, Dennis Liu, Tong Liu, Hongbin Liu, Pingtian Li, Evan Wu, Shiqing Fan, Li Tao, Robin Zhang, Yuzhong Wang, Shifang Xu, Jack Chang, Xuwen Chen, Kunlun Li, Yan Bai, Gao Deng, Nan Zheng, Vijay Anand Korthikanti, Abhinav Khattar, Ethan He, Soham Govande, Sangkug Lym, Zhongbo Zhu, Qi Zhang, Haochen Yuan, Xiaowei Ren, Deyu Fu, Tailai Ma, Shunkang Zhang, Jiang Shao, Ray Wang, Vasudevan Rengasamy, Rachit Garg, Santosh Bhavani, Xipeng Li, Chandler Zhou, David Wu, Yingcan Wei, Ashwath Aithal, Michael Andersch, Mohammad Shoeybi, Jiajie Yao, June Yang
2023	—	`conf`	Reducing Activation Recomputation in Large Transformer Models. MLSys Vijay Anand Korthikanti, Jared Casper, Sangkug Lym, Lawrence McAfee, Michael Andersch, Mohammad Shoeybi, Bryan Catanzaro
2022	J	`jnl`	Reducing Activation Recomputation in Large Transformer Models. CoRR Vijay Korthikanti, Jared Casper, Sangkug Lym, Lawrence McAfee, Michael Andersch, Mohammad Shoeybi, Bryan Catanzaro
2020	A*	`conf`	BranchNet: A Convolutional Neural Network to Predict Hard-To-Predict Branches. MICRO Siavash Zangeneh, Stephen Pruett, Sangkug Lym, Yale N. Patt
2020	J	`jnl`	FlexSA: Flexible Systolic Array Architecture for Efficient Pruned DNN Model Training. CoRR Sangkug Lym, Mattan Erez
2020	A*	`conf`	Near Data Acceleration with Concurrent Host Access. ISCA Benjamin Y. Cho, Yongkee Kwon, Sangkug Lym, Mattan Erez
2019	J	`jnl`	CHoNDA: Near Data Acceleration with Concurrent Host Access. CoRR Benjamin Y. Cho, Yongkee Kwon, Sangkug Lym, Mattan Erez
2019	B	`conf`	DeLTA: GPU Performance Model for Deep Learning Applications with In-Depth Memory System Traffic Analysis. ISPASS Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez
2019	J	`jnl`	DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis. CoRR Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez
2019	—	`conf`	Mini-batch Serialization: CNN Training with Inter-layer Data Reuse. SysML Sangkug Lym, Armand Behroozi, Wei Wen, Ge Li, Yongkee Kwon, Mattan Erez
2019	J	`jnl`	PruneTrain: Gradual Structured Pruning from Scratch for Faster Neural Network Training. CoRR Sangkug Lym, Esha Choukse, Siavash Zangeneh, Wei Wen, Mattan Erez, Sujay Shanghavi
2019	A	`conf`	PruneTrain: fast neural network training by dynamic sparse model reconfiguration. SC Sangkug Lym, Esha Choukse, Siavash Zangeneh, Wei Wen, Sujay Sanghavi, Mattan Erez
2018	A*	`conf`	DUO: Exposing On-Chip Redundancy to Rank-Level ECC for High Reliability. HPCA Seong-Lyong Gong, Jungrae Kim, Sangkug Lym, Michael B. Sullivan, Howard David, Mattan Erez
2018	A*	`conf`	ERUCA: Efficient DRAM Resource Utilization and Resource Conflict Avoidance for Memory System Parallelism. HPCA Sangkug Lym, Heonjae Ha, Yongkee Kwon, Chun-Kai Chang, Jungrae Kim, Mattan Erez
2018	A	`conf`	Evaluating and accelerating high-fidelity error injection for HPC. SC Chun-Kai Chang, Sangkug Lym, Nicholas Kelly, Michael B. Sullivan, Mattan Erez
2018	—	`conf`	Hamartia: A Fast and Accurate Error Injection Framework. DSN Workshops Chun-Kai Chang, Sangkug Lym, Nicholas Kelly, Michael B. Sullivan, Mattan Erez
2018	J	`jnl`	Mini-batch Serialization: CNN Training with Inter-layer Data Reuse. CoRR Sangkug Lym, Armand Behroozi, Wei Wen, Ge Li, Yongkee Kwon, Mattan Erez
2016	A*	`conf`	All-Inclusive ECC: Thorough End-to-End Protection for Reliable Computer Memory. ISCA Jungrae Kim, Michael B. Sullivan, Sangkug Lym, Mattan Erez