Sangkug Lym

Reducing Activation Recomputation in Large Transformer Models

Vijay Anand Korthikanti, Jared Casper, Sangkug Lym et al. · arXiv (Cornell University) · 2022 · 52 citations · Full text

Llm Fine-tuning, Engineering, Machine Learning +17

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

Siavash Zangeneh, Stephen Pruett, Sangkug Lym et al. · 2020 · 42 citations

Artificial Intelligence, Large Ai Model, Convolutional Neural Network +15

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

Sangkug Lym, Donghyuk Lee, Mike O’Connor et al. · 2019 · 37 citations · Full text

Gpu Performance Model, Gpu Architecture, Engineering +15

Near Data Acceleration with Concurrent Host Access

Benjamin Y. Cho, Yongkee Kwon, Sangkug Lym et al. · 2020 · 35 citations

Cluster Computing, Engineering, Computer Architecture +18

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

Seong-Lyong Gong, Jung Rae Kim, Sangkug Lym et al. · 2018 · 33 citations

Engineering, Dram Row, Computer Architecture +16