Publications
Export 31 results:
Filters: Author is Jakub Kurzak [Clear All Filters]
Designing SLATE: Software for Linear Algebra Targeting Exascale,”
SLATE Working Notes, no. 03, ICL-UT-17-06: Innovative Computing Laboratory, University of Tennessee, October 2017.
(2.8 MB)
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Implementation of the Mixed-Precision High Performance LINPACK Benchmark on the CELL Processor,”
University of Tennessee Computer Science Tech Report, no. UT-CS-06-580, LAPACK Working Note #177, September 2006.
(506.18 KB)
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Scheduling Linear Algebra Operations on Multicore Processors,”
University of Tennessee Computer Science Department Technical Report, UT-CS-09-636 (Also LAPACK Working Note 213), 00 2009.
(716.18 KB)
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Virtual Systolic Array for QR Decomposition,”
15th Workshop on Advances in Parallel and Distributed Computational Models, IEEE International Parallel & Distributed Processing Symposium (IPDPS 2013), Boston, MA, IEEE, May 2013.
(749.84 KB)
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Linear Systems Performance Report,”
SLATE Working Notes, no. 08, ICL-UT-18-08: Innovative Computing Laboratory, University of Tennessee, September 2018.
(1.64 MB)
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The PlayStation 3 for High Performance Scientific Computing,”
University of Tennessee Computer Science Technical Report, no. UT-CS-08-608, January 2008.
(2.45 MB)
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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)
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Implementation and Tuning of Batched Cholesky Factorization and Solve for NVIDIA GPUs,”
IEEE Transactions on Parallel and Distributed Systems, no. 1045-9219, November 2015.
“Fully Dynamic Scheduler for Numerical Computing on Multicore Processors,”
University of Tennessee Computer Science Department Technical Report, UT-CS-09-643 (Also LAPACK Working Note 220), 00 2009.
(488.24 KB)
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An Implementation of the Tile QR Factorization for a GPU and Multiple CPUs,”
Applied Parallel and Scientific Computing, vol. 7133, pp. 248-257, 00 2012.
(623.5 KB)
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Parallel Norms Performance Report,”
SLATE Working Notes, no. 06, ICL-UT-18-06: Innovative Computing Laboratory, University of Tennessee, June 2018.
(1.13 MB)
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Implementation of Mixed Precision in Solving Systems of Linear Equations on the Cell Processor,”
Concurrency and Computation: Practice and Experience, vol. 19, no. 10, pp. 1371-1385, July 2007.
(453.78 KB)
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Dependency-Driven Scheduling of Dense Matrix Factorizations on Shared-Memory Systems,”
PPAM 2009, Poland, September 2009.
“Preliminary Results of Autotuning GEMM Kernels for the NVIDIA Kepler Architecture,”
LAWN 267, 00 2012.
(1.14 MB)
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Autotuning GEMM Kernels for the Fermi GPU,”
IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 11, November 2012.
(742.5 KB)
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Solving Systems of Linear Equations on the CELL Processor Using Cholesky Factorization,”
IEEE Transactions on Parallel and Distributed Systems, vol. 19, no. 9, pp. 1-11, January 2008.
(751.57 KB)
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Programming the LU Factorization for a Multicore System with Accelerators,”
Proceedings of VECPAR’12, Kobe, Japan, April 2012.
(414.33 KB)
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Parallel BLAS Performance Report,”
SLATE Working Notes, no. 05, ICL-UT-18-01: University of Tennessee, April 2018.
(4.39 MB)
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Solving Systems of Linear Equations on the CELL Processor Using Cholesky Factorization,”
UT Computer Science Technical Report (Also LAPACK Working Note 184), no. UT-CS-07-596, January 2007.
(751.57 KB)
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Scheduling Linear Algebra Operations on Multicore Processors,”
Concurrency Practice and Experience (to appear), 00 2009.
(716.18 KB)
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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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Massively Parallel Automated Software Tuning,”
48th International Conference on Parallel Processing (ICPP 2019), Kyoto, Japan, ACM Press, August 2019.
(911.88 KB)
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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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Autotuning GEMMs for Fermi,”
University of Tennessee Computer Science Technical Report, UT-CS-11-671, (also Lawn 245), April 2011.
(397.45 KB)
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Design and Implementation of the PULSAR Programming System for Large Scale Computing,”
Supercomputing Frontiers and Innovations, vol. 4, issue 1, 2017.
(764.96 KB)
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Implementing Linear Algebra Routines on Multi-Core Processors with Pipelining and a Look Ahead,”
University of Tennessee Computer Science Tech Report, UT-CS-06-581, LAPACK Working Note #178, January 2006.
(304.4 KB)
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QR Factorization for the CELL Processor,”
Scientific Programming (to appear), 00 2009.
(234.02 KB)
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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.
(1.08 MB)
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SLATE Working Note 12: Implementing Matrix Inversions,”
SLATE Working Notes, no. 12, ICL-UT-19-04: Innovative Computing Laboratory, University of Tennessee, June 2019.
(1.95 MB)
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QR Factorization for the CELL Processor,”
University of Tennessee Computer Science Technical Report, UT-CS-08-616 (also LAPACK Working Note 201), May 2008.
(194.95 KB)
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QR Factorization for the CELL Processor,”
Scientific Programming, vol. 17, no. 1-2, pp. 31-42, 00 2010.
(194.95 KB)
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