Publications
LU Factorization with Partial Pivoting for a Multicore System with Accelerators,”
IEEE Transactions on Parallel and Distributed Computing, vol. 24, issue 8, pp. 1613-1621, August 2013.
DOI: http://doi.ieeecomputersociety.org/10.1109/TPDS.2012.242
(1.08 MB)
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Mixed Precision Iterative Refinement Techniques for the Solution of Dense Linear Systems,”
International Journal of High Performance Computer Applications (to appear), August 2007.
(157.4 KB)
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Model-Driven One-Sided Factorizations on Multicore, Accelerated Systems,”
Supercomputing Frontiers and Innovations, vol. 1, issue 1, 2014.
DOI: http://dx.doi.org/10.14529/jsfi1401
(1.86 MB)
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Multithreading in the PLASMA Library,”
Multi and Many-Core Processing: Architecture, Programming, Algorithms, & Applications: Taylor & Francis, 00 2013.
(536.28 KB)
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A New Metric for Ranking High-Performance Computing Systems,”
National Science Review, vol. 3, issue 1, pp. 30-35, January 2016.
DOI: 10.1093/nsr/nwv084
(393.55 KB)
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Parallel Programming in MATLAB,”
The International Journal of High Performance Computing Applications, vol. 23, no. 3, pp. 277-283, July 2009.
(215.71 KB)
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Parallel Programming Models for Dense Linear Algebra on Heterogeneous Systems,”
Supercomputing Frontiers and Innovations, vol. 2, no. 4, October 2015.
DOI: 10.14529/jsfi1504
(3.68 MB)
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PLASMA: Parallel Linear Algebra Software for Multicore Using OpenMP,”
ACM Transactions on Mathematical Software, vol. 45, issue 2, June 2019.
DOI: 10.1145/3264491
(7.5 MB)
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The PlayStation 3 for High Performance Scientific Computing,”
Computing in Science and Engineering, pp. 80-83, January 2008.
(2.45 MB)
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Porting the PLASMA Numerical Library to the OpenMP Standard,”
International Journal of Parallel Programming, June 2016.
DOI: 10.1007/s10766-016-0441-6
(1.66 MB)
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Power Aware Computing on GPUs,”
SAAHPC '12 (Best Paper Award), Argonne, IL, July 2012.
(658.06 KB)
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Preliminary Results of Autotuning GEMM Kernels for the NVIDIA Kepler Architecture,”
LAWN 267, 00 2012.
(1.14 MB)
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Prospectus for the Next LAPACK and ScaLAPACK Libraries,”
PARA 2006, Umea, Sweden, June 2006.
(460.11 KB)
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Recursive Approach in Sparse Matrix LU Factorization,”
Scientific Programming, vol. 9, no. 1, pp. 51-60, 00 2001.
(217.16 KB)
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Self Adapting Numerical Software SANS Effort,”
IBM Journal of Research and Development, vol. 50, no. 2/3, pp. 223-238, January 2006.
(357.53 KB)
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Self Adapting Software for Numerical Linear Algebra and LAPACK for Clusters,”
Parallel Computing, vol. 29, no. 11-12, pp. 1723-1743, November 2003.
(343.44 KB)
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A Set of Batched Basic Linear Algebra Subprograms,”
ACM Transactions on Mathematical Software, October 2020.
“The Singular Value Decomposition: Anatomy of Optimizing an Algorithm for Extreme Scale,”
SIAM Review, vol. 60, issue 4, pp. 808–865, November 2018.
DOI: 10.1137/17M1117732
(2.5 MB)
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Soft Error Resilient QR Factorization for Hybrid System,”
UT-CS-11-675 (also LAPACK Working Note #252), no. ICL-CS-11-675, July 2011.
(1.39 MB)
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Soft Error Resilient QR Factorization for Hybrid System with GPGPU,”
Journal of Computational Science, Seattle, WA, Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems at SC11, November 2011.
(965.88 KB)
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Soft Error Resilient QR Factorization for Hybrid System with GPGPU,”
Journal of Computational Science, vol. 4, issue 6, pp. 457–464, November 2013.
DOI: http://dx.doi.org/10.1016/j.jocs.2013.01.004
(995.45 KB)
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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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Task Based Cholesky Decomposition on Xeon Phi Architectures using OpenMP,”
International Journal of Computational Science and Engineering (IJCSE), vol. 17, no. 3, October 2018.
DOI: http://dx.doi.org/10.1504/IJCSE.2018.095851
“Translational Process: Mathematical Software Perspective,”
Journal of Computational Science, September 2020.
DOI: 10.1016/j.jocs.2020.101216
(752.59 KB)
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Using MAGMA with PGI Fortran,”
PGI Insider, November 2010.
(176.67 KB)
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Using Mixed Precision for Sparse Matrix Computations to Enhance the Performance while Achieving 64-bit Accuracy,”
ACM Transactions on Mathematical Software, vol. 34, no. 4, pp. 17-22, 00 2008.
(364.48 KB)
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With Extreme Computing, the Rules Have Changed,”
Computing in Science & Engineering, vol. 19, issue 3, pp. 52-62, May 2017.
DOI: 10.1109/MCSE.2017.48
(485.34 KB)
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Clover: Computational Libraries Optimized via Exascale Research
, Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.
(872 KB)

Numerical Linear Algebra on Emerging Architectures: The PLASMA and MAGMA Projects
, Portland, OR, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC09), November 2009.
(3.53 MB)

The PLASMA Library on CORAL Systems and Beyond (Poster)
, Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.
(550.86 KB)

Using Quantized Integer in LU Factorization with Partial Pivoting (Poster)
, Seattle, WA, SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP20), February 2020.
(6.65 MB)

Comparing performance of s-step and pipelined GMRES on distributed-memory multicore CPUs
, Pittsburgh, Pennsylvania, SIAM Annual Meeting, July 2017.
(748 KB)

MAGMA MIC: Linear Algebra Library for Intel Xeon Phi Coprocessors
, Salt Lake City, UT, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC12), November 2012.
(6.4 MB)

MAGMA MIC: Optimizing Linear Algebra for Intel Xeon Phi
, Frankfurt, Germany, ISC High Performance (ISC15), Intel Booth Presentation, June 2015.
(2.03 MB)

Batched BLAS (Basic Linear Algebra Subprograms) 2018 Specification
, July 2018.
(483.05 KB)

Achieving Numerical Accuracy and High Performance using Recursive Tile LU Factorization,”
University of Tennessee Computer Science Technical Report (also as a LAWN), no. ICL-UT-11-08, September 2011.
(618.53 KB)
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On Algorithmic Variants of Parallel Gaussian Elimination: Comparison of Implementations in Terms of Performance and Numerical Properties,”
University of Tennessee Computer Science Technical Report, no. UT-CS-13-715, July 2013, 2012.
(358.98 KB)
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Analysis of Various Scalar, Vector, and Parallel Implementations of RandomAccess,”
Innovative Computing Laboratory (ICL) Technical Report, no. ICL-UT-10-03, June 2010.
(226.9 KB)
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C++ API for Batch BLAS,”
SLATE Working Notes, no. 4, ICL-UT-17-12: University of Tennessee, December 2017.
(1.89 MB)
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C++ API for BLAS and LAPACK,”
SLATE Working Notes, no. 2, ICL-UT-17-03: Innovative Computing Laboratory, University of Tennessee, June 2017.
(1.12 MB)
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The Case for Directive Programming for Accelerator Autotuner Optimization,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-17-07: University of Tennessee, October 2017.
(341.52 KB)
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clMAGMA: High Performance Dense Linear Algebra with OpenCL,”
University of Tennessee Technical Report (Lawn 275), no. UT-CS-13-706: University of Tennessee, March 2013.
(526.6 KB)
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A Collection of White Papers from the BDEC2 Workshop in Poznan, Poland,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-10: University of Tennessee, Knoxville, May 2019.
(5.82 MB)
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Designing SLATE: Software for Linear Algebra Targeting Exascale,”
SLATE Working Notes, no. 3, ICL-UT-17-06: Innovative Computing Laboratory, University of Tennessee, October 2017.
(2.8 MB)
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Distributed Dense Numerical Linear Algebra Algorithms on Massively Parallel Architectures: DPLASMA,”
University of Tennessee Computer Science Technical Report, UT-CS-10-660, September 2010.
(366.26 KB)
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Distributed-Memory Task Execution and Dependence Tracking within DAGuE and the DPLASMA Project,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-10-02, 00 2010.
(400.75 KB)
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GPU-Accelerated Asynchronous Error Correction for Mixed Precision Iterative Refinement,”
University of Tennessee Computer Science Technical Report UT-CS-11-690 (also Lawn 260), December 2011.
(662.98 KB)
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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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HPCG Benchmark: a New Metric for Ranking High Performance Computing Systems,”
University of Tennessee Computer Science Technical Report , no. ut-eecs-15-736: University of Tennessee, January 2015.
“HPCS Library Study Effort,”
University of Tennessee Computer Science Technical Report, UT-CS-08-617, January 2008.
(73.22 KB)
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