Publications
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Filters: Author is Jack Dongarra [Clear All Filters]
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)
“Autotuning Numerical Dense Linear Algebra for Batched Computation With GPU Hardware Accelerators,”
Proceedings of the IEEE, vol. 106, issue 11, pp. 2040–2055, November 2018.
DOI: 10.1109/JPROC.2018.2868961 (2.53 MB)
“Self-adapting Numerical Software for Next Generation Applications (LAPACK Working Note 157),”
ICL Technical Report, no. ICL-UT-02-07, 00 2002.
(475.94 KB)
“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)
“Translational process: Mathematical software perspective,”
Journal of Computational Science, vol. 52, pp. 101216, 2021.
DOI: 10.1016/j.jocs.2020.101216
“Accurate Cache and TLB Characterization Using Hardware Counters,”
International Conference on Computational Science (ICCS 2004), Krakow, Poland, Springer, June 2004.
DOI: 10.1007/978-3-540-24688-6_57 (167.1 KB)
“Exploiting Fine-Grain Parallelism in Recursive LU Factorization,”
Proceedings of PARCO'11, no. ICL-UT-11-04, Gent, Belgium, April 2011.
“Optimized Batched Linear Algebra for Modern Architectures,”
Euro-Par 2017, Santiago de Compostela, Spain, Springer, August 2017.
DOI: 10.1007/978-3-319-64203-1_37 (618.33 KB)
“Introduction to the HPCChallenge Benchmark Suite,”
ICL Technical Report, no. ICL-UT-05-01, January 2005.
(124.86 KB)
“An Introduction to the MAGMA project - Acceleration of Dense Linear Algebra
: NVIDIA Webinar, June 2010.
The Impact of Multicore on Computational Science Software,”
CTWatch Quarterly, vol. 3, issue 1, February 2007.
“Experiences and Lessons Learned with a Portable Interface to Hardware Performance Counters,”
PADTAD Workshop, IPDPS 2003, Nice, France, IEEE, April 2003.
(432.57 KB)
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