Publications
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Filters: Keyword is numerical linear algebra [Clear All Filters]
Design, Optimization, and Benchmarking of Dense Linear Algebra Algorithms on AMD GPUs,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-20-12: University of Tennessee, August 2020.
(476.36 KB)
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Mixed Precision LU Factorization on GPU Tensor Cores: Reducing Data Movement and Memory Footprint,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-20-13: University of Tennessee, September 2020.
(409 KB)
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Accelerating the SVD Bi-Diagonalization of a Batch of Small Matrices using GPUs,”
Journal of Computational Science, vol. 26, pp. 237–245, May 2018.
DOI: 10.1016/j.jocs.2018.01.007
(2.18 MB)
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Autotuning Batch Cholesky Factorization in CUDA with Interleaved Layout of Matrices,”
Parallel and Distributed Processing Symposium Workshops (IPDPSW), Orlando, FL, IEEE, June 2017.
DOI: 10.1109/IPDPSW.2017.18
“Batched matrix computations on hardware accelerators based on GPUs,”
International Journal of High Performance Computing Applications, February 2015.
DOI: 10.1177/1094342014567546
(2.16 MB)
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HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi,”
Scientific Programming, vol. 23, issue 1, January 2015.
DOI: 10.3233/SPR-140404
(553.94 KB)
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Optimization for Performance and Energy for Batched Matrix Computations on GPUs,”
8th Workshop on General Purpose Processing Using GPUs (GPGPU 8), San Francisco, CA, ACM, February 2015.
DOI: 10.1145/2716282.2716288
(699.5 KB)
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Towards Batched Linear Solvers on Accelerated Hardware Platforms,”
8th Workshop on General Purpose Processing Using GPUs (GPGPU 8) co-located with PPOPP 2015, San Francisco, CA, ACM, February 2015.
(403.74 KB)
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Accelerating Linear System Solutions Using Randomization Techniques,”
ACM Transactions on Mathematical Software (also LAWN 246), vol. 39, issue 2, February 2013.
DOI: 10.1145/2427023.2427025
(358.79 KB)
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Hierarchical QR Factorization Algorithms for Multi-core Cluster Systems,”
Parallel Computing, vol. 39, issue 4-5, pp. 212-232, May 2013.
(1.43 MB)
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