Publications
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Resiliency in numerical algorithm design for extreme scale simulations,”
The International Journal of High Performance Computing Applications, vol. 36371337212766180823, issue 2, pp. 251 - 285, March 2022.
DOI: 10.1177/10943420211055188
“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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SLATE Port to AMD and Intel Platforms,”
SLATE Working Notes, no. 16, ICL-UT-21-01, April 2021.
(890.75 KB)
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SLATE: Software for Linear Algebra Targeting Exascale (POSTER)
, Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.
(546.56 KB)

SLATE Tutorial
, Houston, TX, 2020 ECP Annual Meeting, February 2020.
(12.14 MB)

SLATE Tutorial
, Houston, TX, 2020 ECP Annual Meeting, February 2020.
(12.14 MB)

SLATE Users' Guide,”
SLATE Working Notes, no. 10, ICL-UT-19-01: Innovative Computing Laboratory, University of Tennessee, July 2020.
(1.51 MB)
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SLATE Working Note 13: Implementing Singular Value and Symmetric/Hermitian Eigenvalue Solvers,”
SLATE Working Notes, no. 13, ICL-UT-19-07: Innovative Computing Laboratory, University of Tennessee, September 2019.
(3.47 MB)
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A survey of numerical linear algebra methods utilizing mixed-precision arithmetic,”
The International Journal of High Performance Computing Applications, vol. 35, no. 4, pp. 344–369, 2021.
DOI: 10.1177/10943420211003313
“A Survey of Recent Developments in Parallel Implementations of Gaussian Elimination,”
Concurrency and Computation: Practice and Experience, vol. 27, issue 5, pp. 1292-1309, April 2015.
DOI: 10.1002/cpe.3306
(783.45 KB)
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System Software for Many-Core and Multi-Core Architectures,”
Advanced Software Technologies for Post-Peta Scale Computing: The Japanese Post-Peta CREST Research Project, Singapore, Springer Singapore, pp. 59–75, 2019.
DOI: 10.1007/978-981-13-1924-2_4
“Taking Advantage of Hybrid Systems for Sparse Direct Solvers via Task-Based Runtimes,”
23rd International Heterogeneity in Computing Workshop, IPDPS 2014, Phoenix, AZ, IEEE, May 2014.
(807.33 KB)
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Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance,”
International Conference for High Performance Computing Networking, Storage, and Analysis (SC20): ACM, November 2020.
(644.92 KB)
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Task-Based Polar Decomposition Using SLATE on Massively Parallel Systems with Hardware Accelerators,”
SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, Denver, CO, ACM, November 2023.
DOI: 10.1145/3624062.3624248
“Toward a Modular Precision Ecosystem for High-Performance Computing,”
The International Journal of High Performance Computing Applications, vol. 33, issue 6, pp. 1069-1078, November 2019.
DOI: 10.1177/1094342019846547
(1.93 MB)
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Towards a High-Performance Tensor Algebra Package for Accelerators
, Gatlinburg, TN, moky Mountains Computational Sciences and Engineering Conference (SMC15), September 2015.
(1.76 MB)

Towards a Parallel Tile LDL Factorization for Multicore Architectures,”
ICL Technical Report, no. ICL-UT-11-03, Seattle, WA, April 2011.
(425.45 KB)
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Towards an Accurate Model for Collective Communications,”
ICL Technical Report, no. ICL-UT-05-03, January 2005.
(250.73 KB)
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Towards Continuous Benchmarking,”
Platform for Advanced Scientific Computing Conference (PASC 2019), Zurich, Switzerland, ACM Press, June 2019.
DOI: 10.1145/3324989.3325719
(1.51 MB)
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Tuning Principal Component Analysis for GRASS GIS on Multi-core and GPU Architectures,”
FOSS4G 2010, Barcelona, Spain, September 2010.
(1.57 MB)
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Using MAGMA with PGI Fortran,”
PGI Insider, November 2010.
(176.67 KB)
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Variable-Size Batched Condition Number Calculation on GPUs,”
SBAC-PAD, Lyon, France, September 2018.
(509.3 KB)
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Variable-Size Batched Gauss-Huard for Block-Jacobi Preconditioning,”
International Conference on Computational Science (ICCS 2017), vol. 108, Zurich, Switzerland, Procedia Computer Science, pp. 1783-1792, June 2017.
DOI: 10.1016/j.procs.2017.05.186
(512.57 KB)
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Variable-Size Batched Gauss-Jordan Elimination for Block-Jacobi Preconditioning on Graphics Processors,”
Parallel Computing, vol. 81, pp. 131-146, January 2019.
DOI: 10.1016/j.parco.2017.12.006
(1.9 MB)
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