196 citations · 296 across the 12 of their papers we have counts for
5 papers · 1 filter
Software for Sparse Tensor Decomposition on Emerging Computing Architectures
Eric Phipps, Tamara G. Kolda
In this paper, we develop software for decomposing sparse tensors that is portable to and performant on a variety of multicore, manycore, and GPU computing architectures. The resul…
Embedded Ensemble Propagation for Improving Performance, Portability and Scalability of Uncertainty Quantification on Emerging Computational Architectures
E. Phipps, M. D'Elia, H. C. Edwards +3
Quantifying simulation uncertainties is a critical component of rigorous predictive simulation. A key component of this is forward propagation of uncertainties in simulation input…
Automating embedded analysis capabilities and managing software complexity in multiphysics simulation part II: application to partial differential equations
Roger P. Pawlowski, Eric T. Phipps, Andrew G. Salinger +3
A template-based generic programming approach was presented in a previous paper that separates the development effort of programming a physical model from that of computing additio…
Efficient Expression Templates for Operator Overloading-based Automatic Differentiation
Eric Phipps, Roger Pawlowski
Expression templates are a well-known set of techniques for improving the efficiency of operator overloading-based forward mode automatic differentiation schemes in the C++ program…
Automating embedded analysis capabilities and managing software complexity in multiphysics simulation part I: template-based generic programming
Roger P. Pawlowski, Eric T. Phipps, Andrew G. Salinger
An approach for incorporating embedded simulation and analysis capabilities in complex simulation codes through template-based generic programming is presented. This approach relie…