DLS@SC

Keyphrases

Publications

2020

Fourth IEEE/ACM Workshop on Deep Learning on Supercomputers, DLS@SC 2020, Atlanta, GA, USA, November 11, 2020 DLS@SC (2020)
Yunsong Wang, Charlene Yang, Steven Farrell, Yan Zhang, Thorsten Kurth, Samuel Williams
Time-Based Roofline for Deep Learning Performance Analysis. DLS@SC (2020)
Shogo Murai, Hiroaki Mikami, Masanori Koyama, Shuji Suzuki, Takuya Akiba
Online-Codistillation Meets LARS, Going beyond the Limit of Data Parallelism in Deep Learning. DLS@SC (2020)
Bita Hasheminezhad, Shahrzad Shirzad, Nanmiao Wu, Patrick Diehl, Hannes Schulz, Hartmut Kaiser
Towards a Scalable and Distributed Infrastructure for Deep Learning Applications. DLS@SC (2020)
Maxwell X. Cai, Jeroen Bédorf, Vikram A. Saletore, Valeriu Codreanu, Damian Podareanu, Adel Chaibi, Penny X. Qian
DeepGalaxy: Deducing the Properties of Galaxy Mergers from Images Using Deep Neural Networks. DLS@SC (2020)
Matthijs Jansen, Valeriu Codreanu, Ana Lucia Varbanescu
DDLBench: Towards a Scalable Benchmarking Infrastructure for Distributed Deep Learning. DLS@SC (2020)
Hamsa Shwetha Venkataram, Chris A. Mattmann, J. Scott Penberthy
TopiQAL: Topic-aware Question Answering using Scalable Domain-specific Supercomputers. DLS@SC (2020)
Alberto Acevedo, Michael Curry, Shantanu H. Joshi, Brett Leroux, Nicholas Malaya
Vandermonde Wave Function Ansatz for Improved Variational Monte Carlo. DLS@SC (2020)

2019