Publications
Dense Linear Algebra Solvers for Multicore with GPU Accelerators
, Atlanta, GA, International Parallel and Distributed Processing Symposium (IPDPS 2010), April 2010.
(956.68 KB)
Divide & Conquer on Hybrid GPU-Accelerated Multicore Systems,”
SIAM Journal on Scientific Computing (submitted), August 2010.
“Faster, Cheaper, Better - A Hybridization Methodology to Develop Linear Algebra Software for GPUs,”
LAPACK Working Note, no. 230, 00 2010.
(334.48 KB)
“Hybrid Multicore Cholesky Factorization with Multiple GPU Accelerators,”
IEEE Transaction on Parallel and Distributed Systems (submitted), March 2010.
(3.75 MB)
“An Improved MAGMA GEMM for Fermi GPUs,”
International Journal of High Performance Computing, vol. 24, no. 4, pp. 511-515, 00 2010.
“An Improved MAGMA GEMM for Fermi GPUs,”
University of Tennessee Computer Science Technical Report, no. UT-CS-10-655 (also LAPACK working note 227), July 2010.
(486.71 KB)
“An Introduction to the MAGMA project - Acceleration of Dense Linear Algebra
: NVIDIA Webinar, June 2010.
Mixed-Tool Performance Analysis on Hybrid Multicore Architectures,”
First International Workshop on Parallel Software Tools and Tool Infrastructures (PSTI 2010), San Diego, CA, September 2010.
(1.24 MB)
“QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators,”
Proceedings of IPDPS 2011, no. ICL-UT-10-04, Anchorage, AK, October 2010.
(468.17 KB)
“A Scalable High Performant Cholesky Factorization for Multicore with GPU Accelerators,”
Proc. of VECPAR'10 (to appear), Berkeley, CA, June 2010.
(870.46 KB)
“Scheduling Cholesky Factorization on Multicore Architectures with GPU Accelerators
, Knoxville, TN, 2010 Symposium on Application Accelerators in High-Performance Computing (SAAHPC'10), Poster, July 2010.
(3.86 MB)
Towards Dense Linear Algebra for Hybrid GPU Accelerated Manycore Systems,”
Parallel Computing, vol. 36, no. 5-6, pp. 232-240, 00 2010.
(606.41 KB)
“Using MAGMA with PGI Fortran,”
PGI Insider, November 2010.
(176.67 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)
“Accelerating the Reduction to Upper Hessenberg Form through Hybrid GPU-Based Computing,”
University of Tennessee Computer Science Technical Report, UT-CS-09-642 (also LAPACK Working Note 219), May 2009.
(2.37 MB)
“A Note on Auto-tuning GEMM for GPUs,”
9th International Conference on Computational Science (ICCS 2009), no. 5544-5545, Baton Rouge, LA, pp. 884-892, May 2009.
DOI: 10.1007/978-3-642-01970-8_89 (236.02 KB)
“Numerical Linear Algebra on Emerging Architectures: The PLASMA and MAGMA Projects,”
Journal of Physics: Conference Series, vol. 180, 00 2009.
(119.37 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 Hybrid Architectures: Recent Developments in the MAGMA Project
, Portland, Oregon, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC09), November 2009.
(1.41 MB)
Enhancing the Performance of Dense Linear Algebra Solvers on GPUs (in the MAGMA Project)
, Austin, TX, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC08), November 2008.
(5.28 MB)
Exploring New Architectures in Accelerating CFD for Air Force Applications,”
Proceedings of the DoD HPCMP User Group Conference, Seattle, Washington, January 2008.
(492.86 KB)
“Some Issues in Dense Linear Algebra for Multicore and Special Purpose Architectures,”
University of Tennessee Computer Science Technical Report, UT-CS-08-615 (also LAPACK Working Note 200), January 2008.
(289.93 KB)
“Some Issues in Dense Linear Algebra for Multicore and Special Purpose Architectures,”
PARA 2008, 9th International Workshop on State-of-the-Art in Scientific and Parallel Computing, Trondheim Norway, May 2008.
“Towards Dense Linear Algebra for Hybrid GPU Accelerated Manycore Systems,”
University of Tennessee Computer Science Technical Report, UT-CS-08-632 (also LAPACK Working Note 210), January 2008.
(606.41 KB)
“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)
“The Impact of Multicore on Math Software,”
PARA 2006, Umea, Sweden, June 2006.
(223.53 KB)
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