Publications
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)
“Visualizing Execution Traces with Task Dependencies,”
2nd Workshop on Visual Performance Analysis (VPA '15), Austin, TX, ACM, November 2015.
(927.5 KB)
“Implementing a systolic algorithm for QR factorization on multicore clusters with PaRSEC,”
Lawn 277, no. UT-CS-13-709, May 2013.
(298.63 KB)
“An Improved Parallel Singular Value Algorithm and Its Implementation for Multicore Hardware,”
University of Tennessee Computer Science Technical Report (also LAWN 283), no. ut-eecs-13-720: University of Tennessee, October 2013.
(1.23 MB)
“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)
“Multithreading in the PLASMA Library,”
Multi and Many-Core Processing: Architecture, Programming, Algorithms, & Applications: Taylor & Francis, 00 2013.
(536.28 KB)
“Autotuning GEMM Kernels for the Fermi GPU,”
IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 11, November 2012.
DOI: 10.1109/TPDS.2011.311 (742.5 KB)
“Programming the LU Factorization for a Multicore System with Accelerators,”
Proceedings of VECPAR’12, Kobe, Japan, April 2012.
(414.33 KB)
“Autotuning GEMMs for Fermi,”
University of Tennessee Computer Science Technical Report, UT-CS-11-671, (also Lawn 245), April 2011.
(397.45 KB)
“Flexible Development of Dense Linear Algebra Algorithms on Massively Parallel Architectures with DPLASMA,”
Proceedings of the Workshops of the 25th IEEE International Symposium on Parallel and Distributed Processing (IPDPS 2011 Workshops), Anchorage, Alaska, USA, IEEE, pp. 1432-1441, May 2011.
(1.26 MB)
“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)
“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)
“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)
“QR Factorization for the CELL Processor,”
Scientific Programming, vol. 17, no. 1-2, pp. 31-42, 00 2010.
(194.95 KB)
“Scheduling Dense Linear Algebra Operations on Multicore Processors,”
Concurrency and Computation: Practice and Experience, vol. 22, no. 1, pp. 15-44, January 2010.
(1.23 MB)
“Scheduling Two-sided Transformations using Tile Algorithms on Multicore Architectures,”
Journal of Scientific Computing, vol. 18, no. 1, pp. 33-50, 00 2010.
(334.5 KB)
“Accelerating Scientific Computations with Mixed Precision Algorithms,”
Computer Physics Communications, vol. 180, issue 12, pp. 2526-2533, December 2009.
DOI: 10.1016/j.cpc.2008.11.005 (402.69 KB)
“A Class of Parallel Tiled Linear Algebra Algorithms for Multicore Architectures,”
Parallel Computing, vol. 35, pp. 38-53, 00 2009.
(274.74 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)
Numerical Linear Algebra on Emerging Architectures: The PLASMA and MAGMA Projects,”
Journal of Physics: Conference Series, vol. 180, 00 2009.
(119.37 KB)
“Parallel Dense Linear Algebra Software in the Multicore Era,”
in Cyberinfrastructure Technologies and Applications: Nova Science Publishers, Inc., pp. 9-24, 00 2009.
“Fast and Small Short Vector SIMD Matrix Multiplication Kernels for the CELL Processor,”
University of Tennessee Computer Science Technical Report, no. UT-CS-08-609, (also LAPACK Working Note 189), January 2008.
(500.99 KB)
“Parallel Block Hessenberg Reduction using Algorithms-By-Tiles for Multicore Architectures Revisited,”
University of Tennessee Computer Science Technical Report, UT-CS-08-624 (also LAPACK Working Note 208), August 2008.
(420.31 KB)
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