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ORCID6th MLHPC / 1st AI4S@SC 2020: Atlanta, GA, USA
- 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, and 1st Workshop on Artificial Intelligence and Machine Learning for Scientific Applications MLHPC/AI4S 2020, Atlanta, GA, USA, November 12, 2020. IEEE 2020, ISBN 978-1-6654-2291-8
MLHPC 2020
- Soumyadip Ghosh
, Vijay Gupta:
EventGraD: Event-Triggered Communication in Parallel Stochastic Gradient Descent. 1-8 - Jovita Lukasik, Margret Keuper, Maneesh Singh, Julian Yarkony:
A Benders Decomposition Approach to Correlation Clustering. 9-16 - Seyedeh Mahdieh Ghazimirsaeed, Quentin Anthony, Aamir Shafi, Hari Subramoni, Dhabaleswar K. D. K. Panda:
Accelerating GPU-based Machine Learning in Python using MPI Library: A Case Study with MVAPICH2-GDR. 17-28 - Guojing Cong, Tianyi Liu:
Accelerate Distributed Stochastic Descent for Nonconvex Optimization with Momentum. 29-39 - Justin M. Wozniak, Hyun Seung Yoo, Jamaludin Mohd-Yusof, Bogdan Nicolae, Nicholson T. Collier, Jonathan Ozik, Thomas S. Brettin, Rick Stevens:
High-bypass Learning: Automated Detection of Tumor Cells That Significantly Impact Drug Response. 40-49 - Sergio Botelho, Ameya Joshi, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian:
Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models. 50-63
AI4S 2020
- Stefano Markidis, Ivy Bo Peng, Artur Podobas, Itthinat Jongsuebchoke, Gabriel Bengtsson, Pawel Andrzej Herman:
Automatic Particle Trajectory Classification in Plasma Simulations. 64-71 - Xiumin Shang, Lin Ye, Jing Zhang, Jingping Yang, Jianping Xu, Qin Lyu, Ruisheng Diao:
Reinforcement Learning-Based Solution to Power Grid Planning and Operation Under Uncertainties. 72-79 - Shanti Bhushan, Greg W. Burgreen, Joshua L. Bowman, Ian D. Dettwiller, Wesley Brewer:
Predictions of Steady and Unsteady Flows using Machine-learned Surrogate Models. 80-87 - Ziling Wu, Tekin Bicer, Zhengchun Liu, Vincent De Andrade, Yunhui Zhu, Ian T. Foster:
Deep Learning-based Low-dose Tomography Reconstruction with Hybrid-dose Measurements. 88-95 - Yuxin Yang, Ben Gremillion, Xitong Zhang, Youzuo Lin, Brendt Wohlberg, Qiang Guan:
How Good Is Your Scientific Data Generative Model? 96-102
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