Publications
LAWN 294: Aasen's Symmetric Indenite Linear Solvers in LAPACK,”
LAPACK Working Note, no. LAWN 294, ICL-UT-17-13: University of Tennessee, December 2017.
(854.1 KB)
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Distributed-Memory Lattice H-Matrix Factorization,”
The International Journal of High Performance Computing Applications, vol. 33, issue 5, pp. 1046–1063, August 2019.
DOI: 10.1177/1094342019861139
(1.14 MB)
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Analyzing Performance of BiCGStab with Hierarchical Matrix on GPU Clusters,”
IEEE International Parallel and Distributed Processing Symposium (IPDPS), Vancouver, BC, Canada, IEEE, May 2018.
(1.37 MB)
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Mixed-precision orthogonalization scheme and adaptive step size for CA-GMRES on GPUs,”
VECPAR 2014 (Best Paper), Eugene, OR, June 2014.
(438.54 KB)
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Tridiagonalization of a Symmetric Dense Matrix on a GPU Cluster,”
The Third International Workshop on Accelerators and Hybrid Exascale Systems (AsHES), May 2013.
“One-Sided Dense Matrix Factorizations on a Multicore with Multiple GPU Accelerators,”
The International Conference on Computational Science (ICCS), June 2012.
“Symmetric Indefinite Linear Solver using OpenMP Task on Multicore Architectures,”
IEEE Transactions on Parallel and Distributed Systems, vol. 29, issue 8, pp. 1879–1892, August 2018.
DOI: 10.1109/TPDS.2018.2808964
(2.88 MB)
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An Empirical View of SLATE Algorithms on Scalable Hybrid System,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-08: University of Tennessee, Knoxville, September 2019.
(441.16 KB)
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SLATE Performance Report: Updates to Cholesky and LU Factorizations,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-20-14: University of Tennessee, October 2020.
(1.64 MB)
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Initial Integration and Evaluation of SLATE Parallel BLAS in LATTE,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-18-07: Innovative Computing Laboratory, University of Tennessee, June 2018.
(366.6 KB)
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QUARK Users' Guide: QUeueing And Runtime for Kernels,”
University of Tennessee Innovative Computing Laboratory Technical Report, no. ICL-UT-11-02, 00 2011.
(247.12 KB)
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Automatic Blocking of QR and LU Factorizations for Locality,”
2nd ACM SIGPLAN Workshop on Memory System Performance (MSP 2004), Washington, DC, ACM, June 2004.
DOI: 10.1145/1065895.1065898
(212.77 KB)
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Docker Container based PaaS Cloud Computing Comprehensive Benchmarks using LAPACK,”
Computer Modeling and Intelligent Systems CMIS-2020, Zaporizhzhoa, March 2020.
(451.33 KB)
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Solving Linear Diophantine Systems on Parallel Architectures,”
IEEE Transactions on Parallel and Distributed Systems, vol. 30, issue 5, pp. 1158-1169, May 2019.
DOI: http://dx.doi.org/10.1109/TPDS.2018.2873354
(802.97 KB)
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Using Advanced Vector Extensions AVX-512 for MPI Reduction (Poster)
, Austin, TX, EuroMPI/USA '20: 27th European MPI Users' Group Meeting, September 2020.
(708.68 KB)

Using Advanced Vector Extensions AVX-512 for MPI Reduction,”
EuroMPI/USA '20: 27th European MPI Users' Group Meeting, Austin, TX, September 2020.
DOI: 10.1145/3416315.3416316
(634.45 KB)
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Using long vector extensions for MPI reductions,”
Parallel Computing, vol. 109, pp. 102871, March 2022.
DOI: 10.1016/j.parco.2021.102871
“Runtime Level Failure Detection and Propagation in HPC Systems,”
European MPI Users' Group Meeting (EuroMPI '19), Zürich, Switzerland, ACM, September 2019.
DOI: 10.1145/3343211.3343225
(1.11 MB)
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Using Arm Scalable Vector Extension to Optimize Open MPI,”
20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID 2020), Melbourne, Australia, IEEE/ACM, May 2020.
DOI: 10.1109/CCGrid49817.2020.00-71
(359.95 KB)
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