2 citations · 4 across the 4 of their papers we have counts for
4 papers
CompAdaGrad: A Compressed, Complementary, Computationally-Efficient Adaptive Gradient Method
Nishant A. Mehta, Alistair Rendell, Anish Varghese +1
The adaptive gradient online learning method known as AdaGrad has seen widespread use in the machine learning community in stochastic and adversarial online learning problems and m…
Programming the Adapteva Epiphany 64-core Network-on-chip Coprocessor
Anish Varghese, Bob Edwards, Gaurav Mitra +1
In the construction of exascale computing systems energy efficiency and power consumption are two of the major challenges. Low-power high performance embedded systems are of increa…
Full-wave nonlinear ultrasound simulation on distributed clusters with applications in high-intensity focused ultrasound
Jiri Jaros, Alistair P. Rendell, Bradley E. Treeby
Model-based treatment planning and exposimetry for high-intensity focused ultrasound (HIFU) requires the numerical simulation of nonlinear ultrasound propagation through heterogene…
High-Performance Pseudo-Random Number Generation on Graphics Processing Units
Nimalan Nandapalan, Richard P. Brent, Lawrence M. Murray +1
This work considers the deployment of pseudo-random number generators (PRNGs) on graphics processing units (GPUs), developing an approach based on the xorgens generator to rapidly…