Amrita Mathuriya

Prediction of secondary structures for large RNA molecules

Amrita Mathuriya, 2009 .

Embracing a New Era of Highly Efficient and Productive Quantum Monte Carlo Simulations

Jeongnim Kim, Ye Luo, Amrita Mathuriya, 2017, SC17: International Conference for High Performance Computing, Networking, Storage and Analysis.

OpenMP® Runtime Instrumentation for Optimization

Gengbin Zheng, Jeongnim Kim, Maria Garzaran, 2017, IWOMP.

Optimization and Parallelization of B-Spline Based Orbital Evaluations in QMC on Multi/Many-Core Shared Memory Processors

Jeongnim Kim, Ye Luo, Amrita Mathuriya, 2017, 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

CosmoFlow: Using Deep Learning to Learn the Universe at Scale

Prabhat, Jason Sewall, Deborah Bard, 2018, SC18: International Conference for High Performance Computing, Networking, Storage and Analysis.

GTfold: a scalable multicore code for RNA secondary structure prediction

David A. Bader, Christine E. Heitsch, Stephen C. Harvey, 2009, SAC '09.

Scaling GRPC Tensorflow on 512 nodes of Cori Supercomputer pdf

Prabhat, Victor W. Lee, Thorsten Kurth, 2017, ArXiv.

TensorFlow at Scale: Performance and productivity analysis of distributed training with Horovod, MLSL, and Cray PE ML

Thorsten Kurth, Peter Mendygral, Amrita Mathuriya, 2018, Concurr. Comput. Pract. Exp..