Publications
Analysis of Various Scalar, Vector, and Parallel Implementations of RandomAccess,”
Innovative Computing Laboratory (ICL) Technical Report, no. ICL-UT-10-03, June 2010.
(226.9 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)
“
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)
“
OpenCL Evaluation for Numerical Linear Algebra Library Development,”
Symposium on Application Accelerators in High-Performance Computing (SAAHPC '10), Knoxville, TN, July 2010.
(2.69 MB)
“
Reducing the time to tune parallel dense linear algebra routines with partial execution and performance modelling,”
University of Tennessee Computer Science Technical Report, no. UT-CS-10-661, October 2010.
(287.87 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.
(402.69 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 Programming in MATLAB,”
The International Journal of High Performance Computing Applications, vol. 23, no. 3, pp. 277-283, July 2009.
(215.71 KB)
“
DARPA's HPCS Program: History, Models, Tools, Languages,”
in Advances in Computers, vol. 72: Elsevier, January 2008.
(3.61 MB)
“
Exploiting Mixed Precision Floating Point Hardware in Scientific Computations,”
in High Performance Computing and Grids in Action, Amsterdam, IOS Press, January 2008.
(92.95 KB)
“
How Elegant Code Evolves With Hardware: The Case Of Gaussian Elimination,”
in Beautiful Code Leading Programmers Explain How They Think (Chapter 14), pp. 243-282, January 2008.
(257 KB)
“
HPCS Library Study Effort,”
University of Tennessee Computer Science Technical Report, UT-CS-08-617, January 2008.
(73.22 KB)
“
The LINPACK Benchmark: Past, Present, and Future,”
Concurrency: Practice and Experience, vol. 15, pp. 803-820, 00 2008.
(94.86 KB)
“
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)
“
The PlayStation 3 for High Performance Scientific Computing,”
Computing in Science and Engineering, pp. 80-83, January 2008.
(2.45 MB)
“
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)
“
Exploiting Mixed Precision Floating Point Hardware in Scientific Computations,”
In High Performance Computing and Grids in Action (to appear), Amsterdam, IOS Press, 00 2007.
(122.01 KB)
“
High Performance Development for High End Computing with Python Language Wrapper (PLW),”
International Journal for High Performance Computer Applications, vol. 21, no. 3, pp. 360-369, 00 2007.
(179.32 KB)
“
How Elegant Code Evolves With Hardware: The Case Of Gaussian Elimination,”
in Beautiful Code Leading Programmers Explain How They Think: O'Reilly Media, Inc., June 2007.
(257 KB)
“
Mixed Precision Iterative Refinement Techniques for the Solution of Dense Linear Systems,”
International Journal of High Performance Computer Applications (to appear), August 2007.
(157.4 KB)
“
SCOP3: A Rough Guide to Scientific Computing On the PlayStation 3,”
University of Tennessee Computer Science Dept. Technical Report, UT-CS-07-595, 00 2007.
(1.74 MB)
“
Exploiting the Performance of 32 bit Floating Point Arithmetic in Obtaining 64 bit Accuracy,”
University of Tennessee Computer Science Tech Report, no. UT-CS-06-574, LAPACK Working Note #175, April 2006.
(221.39 KB)
“
High Performance Development for High End Computing with Python Language Wrapper (PLW),”
International Journal of High Performance Computing Applications (to appear), 00 2006.
(179.32 KB)
“
The HPC Challenge (HPCC) Benchmark Suite,”
SC06 Conference Tutorial, Tampa, Florida, IEEE, November 2006.
(1.08 MB)
“
The Impact of Multicore on Math Software,”
PARA 2006, Umea, Sweden, June 2006.
(223.53 KB)
“
Prospectus for the Next LAPACK and ScaLAPACK Libraries,”
PARA 2006, Umea, Sweden, June 2006.
(460.11 KB)
“
Self Adapting Numerical Software SANS Effort,”
IBM Journal of Research and Development, vol. 50, no. 2/3, pp. 223-238, January 2006.
(357.53 KB)
“
HPC Challenge v1.x Benchmark Suite,”
SC|05 Tutorial - S13, Seattle, Washington, January 2005.
(2.94 MB)
“
Introduction to the HPC Challenge Benchmark Suite
, March 2005.
(124.86 KB)

Introduction to the HPCChallenge Benchmark Suite,”
ICL Technical Report, no. ICL-UT-05-01, January 2005.
(124.86 KB)
“
Cray X1 Evaluation Status Report,”
Oak Ridge National Laboratory Report, vol. /-2004/13, January 2004.
(817.33 KB)
“
Design of an Interactive Environment for Numerically Intensive Parallel Linear Algebra Calculations,”
International Conference on Computational Science, Poland, Springer Verlag, June 2004.
(88.31 KB)
“
LAPACK for Clusters Project: An Example of Self Adapting Numerical Software,”
Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS 04'), vol. 9, Big Island, Hawaii, pp. 90282, January 2004.
(80.97 KB)
“
Self Adapting Software for Numerical Linear Algebra and LAPACK for Clusters (LAPACK Working Note 160),”
University of Tennessee Computer Science Technical Report, UT-CS-03-499, January 2003.
(343.44 KB)
“
Self Adapting Software for Numerical Linear Algebra and LAPACK for Clusters,”
Parallel Computing, vol. 29, no. 11-12, pp. 1723-1743, November 2003.
(343.44 KB)
“
Recursive Approach in Sparse Matrix LU Factorization,”
Scientific Programming, vol. 9, no. 1, pp. 51-60, 00 2001.
(217.16 KB)
“
Recursive approach in sparse matrix LU factorization,”
Proceedings of 1st SGI Users Conference, Cracow, Poland (ACC Cyfronet UMM, 2000), pp. 409-418, January 2000.
(176.14 KB)
“
Pages
- « first
- ‹ previous
- 1
- 2
- 3
- 4