Publications
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Filters: Author is Jack Dongarra [Clear All Filters]
Implementation of the C++ API for Batch BLAS,”
SLATE Working Notes, no. 07, ICL-UT-18-04: Innovative Computing Laboratory, University of Tennessee, June 2018.
(1.07 MB)
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Impacts of Multi-GPU MPI Collective Communications on Large FFT Computation,”
Workshop on Exascale MPI (ExaMPI) at SC19, Denver, CO, November 2019.
(1.6 MB)
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The Impact of Multicore on Math Software,”
PARA 2006, Umea, Sweden, June 2006.
(223.53 KB)
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The Impact of Multicore on Computational Science Software,”
CTWatch Quarterly, vol. 3, issue 1, February 2007.
“Hydrodynamic Computation with Hybrid Programming on CPU-GPU Clusters,”
University of Tennessee Computer Science Technical Report, no. ut-cs-13-714, July 2013.
(866.68 KB)
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A Hybridization Methodology for High-Performance Linear Algebra Software for GPUs,”
in GPU Computing Gems, Jade Edition, vol. 2: Elsevier, pp. 473-484, 00 2011.
“Hybrid Multicore Cholesky Factorization with Multiple GPU Accelerators,”
IEEE Transaction on Parallel and Distributed Systems (submitted), March 2010.
(3.75 MB)
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hipMAGMA v2.0
: Zenodo, July 2020.
DOI: 10.5281/zenodo.3928667
hipMAGMA v1.0
: Zenodo, March 2020.
DOI: 10.5281/zenodo.3908549
High-Performance Tensor Contractions for GPUs,”
International Conference on Computational Science (ICCS'16), San Diego, CA, June 2016.
(2.36 MB)
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High-performance Matrix-matrix Multiplications of Very Small Matrices,”
22nd International European Conference on Parallel and Distributed Computing (Euro-Par'16), Grenoble, France, Springer International Publishing, August 2016.
“High-Performance High-Resolution Semi-Lagrangian Tracer Transport on a Sphere,”
Journal of Computational Physics, vol. 230, issue 17, pp. 6778-6799, July 2011.
DOI: 10.1016/j.jcp.2011.05.008
(1.68 MB)
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High-performance Cholesky Factorization for GPU-only Execution,”
Proceedings of the General Purpose GPUs (GPGPU-10), Austin, TX, ACM, February 2017.
DOI: 10.1145/3038228.3038237
(872.18 KB)
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High-Order Finite Element Method using Standard and Device-Level Batch GEMM on GPUs,”
2020 IEEE/ACM 11th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA): IEEE, November 2020.
(1.3 MB)
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Highly Scalable Self-Healing Algorithms for High Performance Scientific Computing,”
IEEE Transactions on Computers, vol. 58, issue 11, pp. 1512-1524, November 2009.
DOI: 10.1109/TC.2009.42
(1.81 MB)
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High Performance Bidiagonal Reduction using Tile Algorithms on Homogeneous Multicore Architectures,”
University of Tennessee Computer Science Technical Report, UT-CS-11-673, (also Lawn 247), May 2011.
(424.93 KB)
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