James King
Cited by
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Dynamic sparse-matrix allocation on GPUs
J King, T Gilray, RM Kirby, M Might
High Performance Computing: 31st International Conference, ISC High …, 2016
Smoothness-increasing accuracy-conserving filters for discontinuous Galerkin solutions over unstructured triangular meshes
H Mirzaee, J King, JK Ryan, RM Kirby
SIAM Journal on Scientific Computing 35 (1), A212-A230, 2013
Smoothness-increasing accuracy-conserving (SIAC) filtering for discontinuous Galerkin solutions: improved errors versus higher-order accuracy
J King, H Mirzaee, JK Ryan, RM Kirby
Journal of Scientific Computing 53 (1), 129-149, 2012
Exploiting batch processing on streaming architectures to solve 2D elliptic finite element problems: a Hybridized Discontinuous Galerkin (HDG) case study
J King, S Yakovlev, Z Fu, RM Kirby, SJ Sherwin
Journal of Scientific Computing 60, 457-482, 2014
Partitioning 0-CFA for the GPU
T Gilray, J King, M Might
Proceedings of the 23rd International Workshop on Functional and (Constraint …, 2014
Dynamic-CSR: A format for dynamic sparse-matrix updates
J King, T Gilray, RM Kirby, M Might
Proc. 31st Int. Conf. High Perform. Comput, 61-80, 2016
A scalable, efficient scheme for evaluation of stencil computations over unstructured meshes
J King, RM Kirby
Proceedings of the International Conference on High Performance Computing …, 2013
A high-performance multi-element processing framework on GPUs
LK Ha, J King, Z Fu, RM Kirby
SCI Technical Report UUSCI-2013-005, SCI Institute, University of Utah, 2013
Reducing irregularities in control flow and memory access on graphics processing unit architectures
JS King
The University of Utah, 2017
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