Sangkug Lym

According to our database, Sangkug Lym authored at least 14 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Reducing Activation Recomputation in Large Transformer Models.

Vijay Korthikanti, Jared Casper, Sangkug Lym, Lawrence McAfee, Michael Andersch, Mohammad Shoeybi, Bryan Catanzaro

CoRR, 2022

2020

FlexSA: Flexible Systolic Array Architecture for Efficient Pruned DNN Model Training.

Sangkug Lym, Mattan Erez

CoRR, 2020

BranchNet: A Convolutional Neural Network to Predict Hard-To-Predict Branches.

Siavash Zangeneh, Stephen Pruett, Sangkug Lym, Yale N. Patt

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

Near Data Acceleration with Concurrent Host Access.

Benjamin Y. Cho, Yongkee Kwon, Sangkug Lym, Mattan Erez

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2019

CHoNDA: Near Data Acceleration with Concurrent Host Access.

Benjamin Y. Cho, Yongkee Kwon, Sangkug Lym, Mattan Erez

CoRR, 2019

PruneTrain: Gradual Structured Pruning from Scratch for Faster Neural Network Training.

Sangkug Lym, Esha Choukse, Siavash Zangeneh, Wei Wen, Mattan Erez, Sujay Shanghavi

CoRR, 2019

PruneTrain: fast neural network training by dynamic sparse model reconfiguration.

Sangkug Lym, Esha Choukse, Siavash Zangeneh, Wei Wen, Sujay Sanghavi, Mattan Erez

Proceedings of the International Conference for High Performance Computing, 2019

Mini-batch Serialization: CNN Training with Inter-layer Data Reuse.

Sangkug Lym, Armand Behroozi, Wei Wen, Ge Li, Yongkee Kwon, Mattan Erez

Proceedings of Machine Learning and Systems 2019, 2019

DeLTA: GPU Performance Model for Deep Learning Applications with In-Depth Memory System Traffic Analysis.

Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2019

2018

Evaluating and accelerating high-fidelity error injection for HPC.

Chun-Kai Chang, Sangkug Lym, Nicholas Kelly, Michael B. Sullivan, Mattan Erez

Proceedings of the International Conference for High Performance Computing, 2018

ERUCA: Efficient DRAM Resource Utilization and Resource Conflict Avoidance for Memory System Parallelism.

Sangkug Lym, Heonjae Ha, Yongkee Kwon, Chun-Kai Chang, Jungrae Kim, Mattan Erez

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

DUO: Exposing On-Chip Redundancy to Rank-Level ECC for High Reliability.

Seong-Lyong Gong, Jungrae Kim, Sangkug Lym, Michael B. Sullivan, Howard David, Mattan Erez

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018

Hamartia: A Fast and Accurate Error Injection Framework.

Chun-Kai Chang, Sangkug Lym, Nicholas Kelly, Michael B. Sullivan, Mattan Erez

Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2018

2016

All-Inclusive ECC: Thorough End-to-End Protection for Reliable Computer Memory.

Jungrae Kim, Michael B. Sullivan, Sangkug Lym, Mattan Erez

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016