Publications
“QR Factorization for the CELL Processor,”
Scientific Programming, vol. 17, no. 1-2, pp. 31-42, 00 2010.
(194.95 KB)
(194.95 KB)
“Project-Based Research and Training in High Performance Data Sciences, Data Analytics, and Machine Learning,”
The Journal of Computational Science Education, vol. 11, issue 1, pp. 36-44, January 2020.
DOI: 10.22369/issn.2153-4136/11/1/7 (4.4 MB)
(4.4 MB)
“Preconditioned Krylov Solvers on GPUs,”
Parallel Computing, June 2017.
DOI: 10.1016/j.parco.2017.05.006 (1.19 MB)
(1.19 MB)
“A Portable Programming Interface for Performance Evaluation on Modern Processors,”
The International Journal of High Performance Computing Applications, vol. 14, no. 3, pp. 189-204, September 2000.
DOI: 10.1177/109434200001400303 (655.17 KB)
(655.17 KB)
“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)
(7.5 MB)
“Performance Portability of a GPU Enabled Factorization with the DAGuE Framework,”
IEEE Cluster: workshop on Parallel Programming on Accelerator Clusters (PPAC), June 2011.
(290.98 KB)
(290.98 KB)
“Performance of Asynchronous Optimized Schwarz with One-sided Communication,”
Parallel Computing, vol. 86, pp. 66-81, August 2019.
DOI: 10.1016/j.parco.2019.05.004 (3.09 MB)
(3.09 MB)
“On the performance and energy efficiency of sparse linear algebra on GPUs,”
International Journal of High Performance Computing Applications, October 2016.
DOI: 10.1177/1094342016672081 (1.19 MB)
(1.19 MB)
“PaRSEC: Exploiting Heterogeneity to Enhance Scalability,”
IEEE Computing in Science and Engineering, vol. 15, issue 6, pp. 36-45, November 2013.
DOI: 10.1109/MCSE.2013.98 (2.16 MB)
(2.16 MB)
“ParILUT - A New Parallel Threshold ILU,”
SIAM Journal on Scientific Computing, vol. 40, issue 4: SIAM, pp. C503–C519, July 2018.
DOI: 10.1137/16M1079506 (19.26 MB)
(19.26 MB)
“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)
(3.68 MB)
“Parallel Dense Linear Algebra Software in the Multicore Era,”
in Cyberinfrastructure Technologies and Applications: Nova Science Publishers, Inc., pp. 9-24, 00 2009.
“PAPI Software-Defined Events for in-Depth Performance Analysis,”
The International Journal of High Performance Computing Applications, vol. 33, issue 6, pp. 1113-1127, November 2019.
(442.39 KB)
(442.39 KB)
