• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 17 matches

• 2023
• 
  Vijay Anand Korthikanti, Jared Casper, Sangkug Lym, Lawrence McAfee, Michael Andersch, Mohammad Shoeybi, Bryan Catanzaro:
  Reducing Activation Recomputation in Large Transformer Models. MLSys 2023
• 2022
• 
  Vijay Korthikanti, Jared Casper, Sangkug Lym, Lawrence McAfee, Michael Andersch, Mohammad Shoeybi, Bryan Catanzaro:
  Reducing Activation Recomputation in Large Transformer Models. CoRR abs/2205.05198 (2022)
• 2020
• 
  Benjamin Y. Cho, Yongkee Kwon, Sangkug Lym, Mattan Erez:
  Near Data Acceleration with Concurrent Host Access. ISCA 2020: 818-831
• 
  Siavash Zangeneh, Stephen Pruett, Sangkug Lym, Yale N. Patt:
  BranchNet: A Convolutional Neural Network to Predict Hard-To-Predict Branches. MICRO 2020: 118-130
• 
  Sangkug Lym, Mattan Erez:
  FlexSA: Flexible Systolic Array Architecture for Efficient Pruned DNN Model Training. CoRR abs/2004.13027 (2020)
• 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: 293-303
• 
  Sangkug Lym, Armand Behroozi, Wei Wen, Ge Li, Yongkee Kwon, Mattan Erez:
  Mini-batch Serialization: CNN Training with Inter-layer Data Reuse. SysML 2019
• 
  Sangkug Lym, Esha Choukse, Siavash Zangeneh, Wei Wen, Sujay Sanghavi, Mattan Erez:
  PruneTrain: fast neural network training by dynamic sparse model reconfiguration. SC 2019: 36:1-36:13
• 
  Sangkug Lym, Esha Choukse, Siavash Zangeneh, Wei Wen, Mattan Erez, Sujay Shanghavi:
  PruneTrain: Gradual Structured Pruning from Scratch for Faster Neural Network Training. CoRR abs/1901.09290 (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 abs/1904.01691 (2019)
• 
  Benjamin Y. Cho, Yongkee Kwon, Sangkug Lym, Mattan Erez:
  CHoNDA: Near Data Acceleration with Concurrent Host Access. CoRR abs/1908.06362 (2019)
• 2018
• 
  Chun-Kai Chang, Sangkug Lym, Nicholas Kelly, Michael B. Sullivan, Mattan Erez:
  Hamartia: A Fast and Accurate Error Injection Framework. DSN Workshops 2018: 101-108
• 
  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: 683-695
• 
  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: 670-682
• 
  Chun-Kai Chang, Sangkug Lym, Nicholas Kelly, Michael B. Sullivan, Mattan Erez:
  Evaluating and accelerating high-fidelity error injection for HPC. SC 2018: 45:1-45:13
• 
  Sangkug Lym, Armand Behroozi, Wei Wen, Ge Li, Yongkee Kwon, Mattan Erez:
  Mini-batch Serialization: CNN Training with Inter-layer Data Reuse. CoRR abs/1810.00307 (2018)
• 2016
• 
  Jungrae Kim, Michael B. Sullivan, Sangkug Lym, Mattan Erez:
  All-Inclusive ECC: Thorough End-to-End Protection for Reliable Computer Memory. ISCA 2016: 622-633