piotr luszczek :: publications

2007

High Performance Development for High End Computing with Python Language Wrapper (PLW): Piotr Luszczek and Jack Dongarra; The International Journal of High Performance Computing Applications, Volume 21, No. 2, Summer 2007
The Impact of Multicore on Math Software: Alfredo Buttari, Jack Dongarra, Jakub Kurzak, Julien Langou, Piotr Luszczek, Stan Tomov
Proceedings of PARA'06, Umeå, Sweden, June 18-21, 2006.
Using Mixed Precision for Sparse Matrix Computations to Enhance the Performance while Achieving 64bit Accuracy: Alfredo Buttari, Jack Dongarra, Jakub Kurzak, Piotr Luszczek, Stan Tomov
Submitted to ACM TOMS, 2007.

2006

Design and Implementation of the HPCC Benchmark Suite: Piotr Luszczek, Jack Dongarra, and Jeremy Kepner; CT Watch Quarterly, 2(4A), November 2006; [BibTeX]
Exploiting the Performance of 32 bit Floating Point Arithmetic in Obtaining 64 bit Accuracy: Julie Langou, Julien Langou, Piotr Luszczek, Jakub Kurzak, Alfredo Buttari and Jack Dongarra; UTK CS Tech Report, CS-06-574, LAPACK Working Note #175, April 2006.; Accepted to SC06.; [PDF]
High Performance Development for High End Computing with Python Language Wrapper (PLW): Piotr Luszczek and Jack Dongarra; Accepted to IJHPCA.; [PDF]
Self adapting numerical software (SANS) effort: Jack Dongarra, George Bosilca, Zizhong Chen, Victor Eijkhout, Graham E. Fagg, Erika Fuentes, Julien Langou, Piotr Luszczek, Jelena Pjesivac-Grbovic, Keith Seymour, Haihang You, Sathish S. Vadhiyar; IBM Journal of Research and Development 50, pp. 223-238, March, 2006.; [PDF | BibTeX ]
Overview of the HPCC Challenge Benchmark Suite: Piotr Luszczek and Jack Dongarra; SPEC Benchmark Workshop 2006, January 23, 2006; Thompson Conference Center, University of Texas, Austin; [HTML]

2005

Introduction to the HPC Challenge Benchmark Suite: Piotr Luszczek, Jack J. Dongarra, David Koester, Rolf Rabenseifner, Bob Lucas, Jeremy Kepner, John McCalpin, David Bailey, and Daisuke Takahashi; [PDF]
HPC Challenge v1.x Benchmark Suite: David Koester and Piotr Luszczek; Technical Program Tutorial, Noveber 13, 2006; Washington State Convention and Trade Center, Seattle, WA; [HTML]
Introduction to the HPC Challenge Benchmark Suite: Jack Dongarra, Piotr Luszczek; ICL Technical Report, ICL-UT-05-01; CS Dept. Tech Report UT-CS-05-544, 2005; [PDF]

2004

LAPACK for Clusters Project: An Example of Self Adapting Numerical Software: Zizhong Chen, Jack Dongarra, Piotr Luszczek, and Kenneth Roche; Hawaii International Conference on System Sciences HICSS-37, Hilton Waikoloa Village, Big Island, Hawaii, January 5-8, 2004.; [ PDF ]
Cray X1 Evaluation Status Report: Agarwal, P., Alexander, R., Apra, E., Balay, S., Bland, A., Colgan, J., D'Azevedo, E., Dongarra, J., Dunigan, T., Fahey, M., Fahey, R., Geist, A., Gordon, M., Harrison, R., Kaushik, D., Krishnakumar, M., Luszczek, P., Mezzacapa, T., Nichols, J., Nieplocha, J., Oliker, L., Packwood, T., Pindzola, M., Schulthess, T., Vetter, J., White, J., Windus, T., Worley, P., Zacharia, T.; Oak Ridge National Laboratory Report, ORNL/TM-2004/13, January 2004.; [PDF]
Design of Interactive Environment for Numerically Intensive Parallel Linear Algebra Calculations: Piotr Luszczek and Jack Dongarra; Proceedings of the 4th International Conference on Computational Science, Krakow, Poland, June 6-9, 2004; Lecture Notes in Computer Science 3039, Springer-Verlag Berlin-Heidelberg, 2004, pp. 270-277, ISBN 3-540-22129-8; [BibTeX]

2003

Self-Adapting Software for Numerical Linear Algebra and LAPACK for Clusters: Zizhong Chen, Jack Dongarra, Piotr Luszczek, and Kenneth Roche; Parallel Computing Journal, November-December 2003, ISSN 0167-8191; LAPACK Working Note: 160; University of Tennessee CS Technical Report Number: ut-cs-03-499; [ PDF | ScienceDirect | BibTeX ]
The LINPACK Benchmark: Past, Present, and Future: Jack J. Dongarra and Piotr Luszczek and Antoine Petitet; Concurrency and Computation: Practice and Experience 15, pp. 1-18, 2003; [ PDF | BibTeX ]
A Runtime Support for Large-Scale Irregular Computing on Clusters and Grids,: Brezany, P., Bubak, M., Luszczek, P., Malawski, M., Zajac, K.; Annual Review of Scalable Computing, in: Kwong, Y. C. (E ds.), Series on Scalable Computing, vol. 5, Singapore University Press and World Scientific, 2003, pp. 30-64
Self Adaptive Software for Numerical Linear Algebra Library Routines on Clusters: Zizhong Chen, Jack Dongarra, Piotr Luszczek, and Kenneth Roche; presented at Workshop on Parallel Linear Algebra, WoPLA'03
A Framework for Check-Pointed Fault-Tolerant Out-of-Core Linear Algebra: Ed D'Azevedo and Piotr Luszczek; presented at SIAM Conference on Computational Science and Engineering (CSE03) February 10-13, 2003 Hyatt Regency Islandia Hotel and Marina, San Diego, CA; [ PDF ]

2002-1999

Marian Bubak, Dawid Kurzyniec, Piotr Luszczek, Vaidy S. Sunderam, "Creating Java to Native Code Interfaces with Janet", Scientific Programming 9(1): 39-50 (2001)
H.-Y. Lin and P. Luszczek, "Tuning LINPACK N*N for PA-RISC Platforms", Presented at High Performance Computing on Hewlett-Packard Systems Conference, Bremen, Germany, October 7-9, 2001. (PDF, gzipped PostScript, BibTeX, more)
M. Bubak, D. Kurzyniec, and P. Luszczek, "Convenient use of legacy software in Java with Janet package", Future Generation Computer Systems 17(8), pp. 987-997, June 2001. (PDF, gzipped PostScript, BibTeX)
Abstract
As Java becomes an appropriate environment for high performance computing, the interest arises in combining it with existing code written in other languages. Portable Java interfaces to native code may be developed using the Java Native Interface (JNI). However, as a low-level API it is rather inconvenient to be used directly, thus the higher level tools and techniques are desired. We present Janet -- a highly expressive Java language extension and preprocessing tool that enables convenient integration of native code with Java programs.
J. Dongarra, V. Eijkhout, and P. Luszczek, "Recursive approach in sparse matrix LU factorization", Scientific Programming 9(1), pp. 51-60, 2001. (Also: In Proceedings of the 1st SGI Users Conference, pp. 409-418, Cracow, Poland, October 2000; ACC Cyfronet UMM.) (PDF, gzipped PostScript, BibTeX)
Abstract
This paper describes a recursive method for the LU factorization of sparse matrices. The recursive formulation of common linear algebra codes has been proven very successful in dense matrix computations. An extension of the recursive technique for sparse matrices is presented. Performance results given here show that the recursive approach may perform comparable to leading software packages for sparse matrix factorization in terms of execution time, memory usage, and error estimates of the solution.
M. Bubak, P. Luszczek, "Towards Portable Runtime Support for Irregular and Out-of-Core Computations", in: Dongarra, J., Luque, E., Margalef, T., (Eds.), "Recent Advances in Parallel Virtual Machine and Message Passing Interface" Proceedings of 6th European PVM/MPI Users' Group Meeting, Barcelona, Spain, September 1999, Lecture Notes in Computer Science 1697, Springer-Verlag Berlin-Heidelberg, 1999, pp. 59-66. (gzipped PostScript, BibTeX)
Abstract
In this paper, we present the lip - a run time system which enables easy and portable parallelization of irregular and out-of-core computations. Functions for handling irregular data were developed using the same concept as in the CHAOS library. Out-of-core parallelization is based on the idea of in-core section, and functions for out-of-core data are implemented with capabilities provided by MPI-IO. The new library may be used in C, Fortran and Java programs. Results of performance tests for a generic irregular out-of-core program on HP S2000 are presented and possible further extensions are discussed.