24 citations · 49 across the 5 of their papers we have counts for
5 papers
Solid-state transcapacitor, a new gain element for logic, memory and interconnects
Amrita Mathuriya, Roza Kotlyar, Neal Reynolds +9
Today's transistors dictate the voltage and charge scales for both logic and memory. While AI systems are recognized to be limited by memory energy, the dominant share of the energ…
CosmoFlow: Using Deep Learning to Learn the Universe at Scale
Amrita Mathuriya, Deborah Bard, Peter Mendygral +14
Deep learning is a promising tool to determine the physical model that describes our universe. To handle the considerable computational cost of this problem, we present CosmoFlow:…
Scaling GRPC Tensorflow on 512 nodes of Cori Supercomputer
Amrita Mathuriya, Thorsten Kurth, Vivek Rane +5
We explore scaling of the standard distributed Tensorflow with GRPC primitives on up to 512 Intel Xeon Phi (KNL) nodes of Cori supercomputer with synchronous stochastic gradient de…
Embracing a new era of highly efficient and productive quantum Monte Carlo simulations
Amrita Mathuriya, Ye Luo, Raymond C. Clay +3
QMCPACK has enabled cutting-edge materials research on supercomputers for over a decade. It scales nearly ideally but has low single-node efficiency due to the physics-based abstra…
Optimization and parallelization of B-spline based orbital evaluations in QMC on multi/many-core shared memory processors
Amrita Mathuriya, Ye Luo, Anouar Benali +2
B-spline based orbital representations are widely used in Quantum Monte Carlo (QMC) simulations of solids, historically taking as much as 50% of the total run time. Random accesses…