Sangkug Lym

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 17

Top Topics

Neural Network Training

High Reliability

Predicting Future

Resource Utilization

Top Venues

Publications

Vijay Anand Korthikanti, Jared Casper, Sangkug Lym, Lawrence McAfee, Michael Andersch, Mohammad Shoeybi, Bryan Catanzaro
Reducing Activation Recomputation in Large Transformer Models. MLSys (2023)
Vijay Korthikanti, Jared Casper, Sangkug Lym, Lawrence McAfee, Michael Andersch, Mohammad Shoeybi, Bryan Catanzaro
Reducing Activation Recomputation in Large Transformer Models. CoRR (2022)
Benjamin Y. Cho, Yongkee Kwon, Sangkug Lym, Mattan Erez
Near Data Acceleration with Concurrent Host Access. ISCA (2020)
Sangkug Lym, Mattan Erez
FlexSA: Flexible Systolic Array Architecture for Efficient Pruned DNN Model Training. CoRR (2020)
Siavash Zangeneh, Stephen Pruett, Sangkug Lym, Yale N. Patt
BranchNet: A Convolutional Neural Network to Predict Hard-To-Predict Branches. MICRO (2020)
Sangkug Lym, Esha Choukse, Siavash Zangeneh, Wei Wen, Sujay Sanghavi, Mattan Erez
PruneTrain: fast neural network training by dynamic sparse model reconfiguration. SC (2019)
Sangkug Lym, Armand Behroozi, Wei Wen, Ge Li, Yongkee Kwon, Mattan Erez
Mini-batch Serialization: CNN Training with Inter-layer Data Reuse. MLSys (2019)
Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez
DeLTA: GPU Performance Model for Deep Learning Applications with In-Depth Memory System Traffic Analysis. ISPASS (2019)
Sangkug Lym, Esha Choukse, Siavash Zangeneh, Wei Wen, Mattan Erez, Sujay Shanghavi
PruneTrain: Gradual Structured Pruning from Scratch for Faster Neural Network Training. CoRR (2019)
Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez
DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis. CoRR (2019)
Benjamin Y. Cho, Yongkee Kwon, Sangkug Lym, Mattan Erez
CHoNDA: Near Data Acceleration with Concurrent Host Access. CoRR (2019)
Sangkug Lym, Armand Behroozi, Wei Wen, Ge Li, Yongkee Kwon, Mattan Erez
Mini-batch Serialization: CNN Training with Inter-layer Data Reuse. CoRR (2018)
Sangkug Lym, Heonjae Ha, Yongkee Kwon, Chun-Kai Chang, Jungrae Kim, Mattan Erez
ERUCA: Efficient DRAM Resource Utilization and Resource Conflict Avoidance for Memory System Parallelism. HPCA (2018)
Chun-Kai Chang, Sangkug Lym, Nicholas Kelly, Michael B. Sullivan, Mattan Erez
Evaluating and accelerating high-fidelity error injection for HPC. SC (2018)
Chun-Kai Chang, Sangkug Lym, Nicholas Kelly, Michael B. Sullivan, Mattan Erez
Hamartia: A Fast and Accurate Error Injection Framework. DSN Workshops (2018)
Seong-Lyong Gong, Jungrae Kim, Sangkug Lym, Michael B. Sullivan, Howard David, Mattan Erez
DUO: Exposing On-Chip Redundancy to Rank-Level ECC for High Reliability. HPCA (2018)
Jungrae Kim, Michael B. Sullivan, Sangkug Lym, Mattan Erez
All-Inclusive ECC: Thorough End-to-End Protection for Reliable Computer Memory. ISCA (2016)