MLHPC@SC

Keyphrases

Publications

2021

IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, MLHPC@SC 2021, St. Louis, MO, USA, November 15, 2021 MLHPC@SC (2021)
Wesley Brewer, Daniel Martínez, Mathew Boyer, Dylan Jude, Andy Wissink, Ben Parsons, Junqi Yin, Valentine Anantharaj
Production Deployment of Machine-Learned Rotorcraft Surrogate Models on HPC. MLHPC@SC (2021)
Michael R. Wyatt II, Valen Yamamoto, Zoë Tosi, Ian Karlin, Brian Van Essen
Is Disaggregation possible for HPC Cognitive Simulation? MLHPC@SC (2021)
Vincent Dumont, Casey Garner, Anuradha Trivedi, Chelsea Jones, Vidya Ganapati, Juliane Mueller, Talita Perciano, Mariam Kiran, Marc Day
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization. MLHPC@SC (2021)
Gaurav Verma, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Barbara M. Chapman
HPCFAIR: Enabling FAIR AI for HPC Applications. MLHPC@SC (2021)
Chunhua Liao, Pei-Hung Lin, Gaurav Verma, Tristan Vanderbruggen, Murali Emani, Zifan Nan, Xipeng Shen
HPC Ontology: Towards a Unified Ontology for Managing Training Datasets and AI Models for High-Performance Computing. MLHPC@SC (2021)
Logan T. Ward, Ganesh Sivaraman, J. Gregory Pauloski, Yadu N. Babuji, Ryan Chard, Naveen Dandu, Paul C. Redfern, Rajeev S. Assary, Kyle Chard, Larry A. Curtiss, Rajeev Thakur, Ian T. Foster
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing. MLHPC@SC (2021)
Mu Gao, Peik Lund-Andersen, Alex Morehead, Sajid Mahmud, Chen Chen, Xiao Chen, Nabin Giri, Raj S. Roy, Farhan Quadir, T. Chad Effler, Ryan Prout, Subil Abraham, Wael R. Elwasif, Nicholas Quentin Haas, Jeffrey Skolnick, Jianlin Cheng, Ada Sedova
High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function. MLHPC@SC (2021)
Sarunya Pumma, Abhinav Vishnu
Semantic-Aware Lossless Data Compression for Deep Learning Recommendation Model (DLRM). MLHPC@SC (2021)
Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin
MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. MLHPC@SC (2021)

2019

2017

2016

2015