| 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 | 40 | 2013 |
| Dynamic sparse-matrix allocation on GPUs J King, T Gilray, RM Kirby, M Might High Performance Computing: 31st International Conference, ISC High …, 2016 | 37 | 2016 |
| 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 | 34 | 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 | 10 | 2014 |
| Partitioning 0-CFA for the GPU T Gilray, J King, M Might Proceedings of the 23rd International Workshop on Functional and (Constraint …, 2014 | 5 | 2014 |
| Dynamic-CSR: A format for dynamic sparse-matrix updates J King, T Gilray, RM Kirby, M Might Springer-Verlag 9697, 61-80, 2016 | 3 | 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 | 2 | 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 | 2 | 2013 |
| Reducing irregularities in control flow and memory access on graphics processing unit architectures JS King The University of Utah, 2017 | | 2017 |
Robert M. Kirby OR R.M. KirbySchool of Computing, University of UtahE-mail megerősítve itt: cs.utah.edu
