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ORCIDAmrita Mathuriya
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2010 – 2019
- 2019
[j1]Thorsten Kurth
, Mikhail Smorkalov, Peter Mendygral, Srinivas Sridharan, Amrita Mathuriya:
TensorFlow at Scale: Performance and productivity analysis of distributed training with Horovod, MLSL, and Cray PE ML. Concurr. Comput. Pract. Exp. 31(16) (2019)- 2018
- [c5]Amrita Mathuriya, Deborah Bard, Peter Mendygral, Lawrence Meadows, James Arnemann, Lei Shao, Siyu He, Tuomas Kärnä, Diana Moise, Simon J. Pennycook, Kristyn J. Maschhoff, Jason Sewall, Nalini Kumar, Shirley Ho, Michael F. Ringenburg, Prabhat, Victor W. Lee:
CosmoFlow: using deep learning to learn the universe at scale. SC 2018: 65:1-65:11 - [i4]Amrita Mathuriya, Deborah Bard, Peter Mendygral, Lawrence Meadows, James Arnemann, Lei Shao, Siyu He, Tuomas Karna, Diana Moise, Simon J. Pennycook, Kristyn J. Maschhoff, Jason Sewall, Nalini Kumar, Shirley Ho, Michael F. Ringenburg, Prabhat, Victor W. Lee:
CosmoFlow: Using Deep Learning to Learn the Universe at Scale. CoRR abs/1808.04728 (2018) - 2017
- [c4]Amrita Mathuriya, Ye Luo, Anouar Benali, Luke Shulenburger, Jeongnim Kim:
Optimization and Parallelization of B-Spline Based Orbital Evaluations in QMC on Multi/Many-Core Shared Memory Processors. IPDPS 2017: 213-223 - [c3]Taru Doodi, Jonathan Peyton, Jim Cownie, Maria Garzaran, Rubasri Kalidas, Jeongnim Kim, Amrita Mathuriya, Terry Wilmarth, Gengbin Zheng:
OpenMP® Runtime Instrumentation for Optimization. IWOMP 2017: 281-295 - [c2]Amrita Mathuriya, Ye Luo, Raymond C. Clay III, Anouar Benali, Luke Shulenburger, Jeongnim Kim:
Embracing a new era of highly efficient and productive quantum Monte Carlo simulations. SC 2017: 38 - [i3]Amrita Mathuriya, Ye Luo, Raymond C. Clay III, Anouar Benali, Luke Shulenburger, Jeongnim Kim:
Embracing a new era of highly efficient and productive quantum Monte Carlo simulations. CoRR abs/1708.02645 (2017) - [i2]Amrita Mathuriya, Thorsten Kurth, Vivek Rane, Mustafa Mustafa, Lei Shao, Debbie Bard, Prabhat, Victor W. Lee:
Scaling GRPC Tensorflow on 512 nodes of Cori Supercomputer. CoRR abs/1712.09388 (2017) - 2016
- [i1]Amrita Mathuriya, Ye Luo, Anouar Benali, Luke Shulenburger, Jeongnim Kim:
Optimization and parallelization of B-spline based orbital evaluations in QMC on multi/many-core shared memory processors. CoRR abs/1611.02665 (2016)
2000 – 2009
- 2009
- [c1]Amrita Mathuriya, David A. Bader, Christine E. Heitsch, Stephen C. Harvey:
GTfold: a scalable multicore code for RNA secondary structure prediction. SAC 2009: 981-988
Coauthor Index
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