Publications

Export 946 results:
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
D
Dong, T., T. Kolev, R. Rieben, V. Dobrev, S. Tomov, and J. Dongarra, Acceleration of the BLAST Hydro Code on GPU,” Supercomputing '12 (poster), Salt Lake City, Utah, SC12, November 2012.
Dongarra, J., H. Meuer, H. D. Simon, and E. Strohmaier, Recent Trends in High Performance Computing,” in Birth of Numerical Analysis (to appear), 00-2009.
Dongarra, J., and J. Langou, The Problem with the Linpack Benchmark Matrix Generator,” University of Tennessee Computer Science Technical Report, UT-CS-08-621 (also LAPACK Working Note 206), June 2008.  (136.41 KB)
Dongarra, J., LINPACK on Future Manycore and GPu Based Systems,” PARA 2010, Reykjavik, Iceland, June 2010.
Dongarra, J., and P. Luszczek, 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)
Dongarra, J., and V. Eijkhout, Numerical Linear Algebra,” Encyclopedia of Computer Science and Technology, eds. Kent, A., Williams, J., vol. 41, pp. 207-233, August 1999.  (262 KB)
Dongarra, J., Z. Chen, G. Bosilca, and J. Langou, Disaster Survival Guide in Petascale Computing: An Algorithmic Approach,” in Petascale Computing: Algorithms and Applications (to appear): Chapman & Hall - CRC Press, 00-2007.  (260.18 KB)
Dongarra, J., M. Gates, A. Haidar, J. Kurzak, P. Luszczek, P. Wu, I. Yamazaki, A. YarKhan, M. Abalenkovs, N. Bagherpour, et al., PLASMA: Parallel Linear Algebra Software for Multicore Using OpenMP,” ACM Transactions on Mathematical Software (to appear), 2019.  (7.5 MB)
Dongarra, J., K. London, S. Moore, P. Mucci, and D. Terpstra, Using PAPI for Hardware Performance Monitoring on Linux Systems,” Conference on Linux Clusters: The HPC Revolution, Urbana, Illinois, Linux Clusters Institute, June 2001.  (422.35 KB)
Dongarra, J., A Tribute to Gene Golub,” Computing in Science and Engineering: IEEE, pp. 5, January 2008.
Dongarra, J., Performance of Various Computers Using Standard Linear Equations Software, (Linpack Benchmark Report),” University of Tennessee Computer Science Technical Report, no. CS-89-85: University of Tennessee, June 2014.  (514.64 KB)
Dongarra, J., Report on the TianHe-2A System,” Innovative Computing Laboratory Technical Report, no. ICL-UT-17-04: University of Tennessee, September 2017.  (7.15 MB)
Dongarra, J., M. Faverge, T. Herault, M. Jacquelin, J. Langou, and Y. Robert, Hierarchical QR Factorization Algorithms for Multi-core Cluster Systems,” Parallel Computing, vol. 39, issue 4-5, pp. 212-232, May 2013.  (1.43 MB)
Dongarra, J., H. Ltaeif, P. Luszczek, and V. M. Weaver, Energy Footprint of Advanced Dense Numerical Linear Algebra using Tile Algorithms on Multicore Architecture,” The 2nd International Conference on Cloud and Green Computing (submitted), Xiangtan, Hunan, China, November 2012.  (329.5 KB)
Dongarra, J., D. Laforenza, and S.. Orlando, Recent Advances in Parallel Virtual Machine and Message Passing Interface,” Lecture Notes in Computer Science, vol. 2840: Springer-Verlag, Berlin, January 2003.
Dongarra, J., J. Demmel, P. Husbands, and P. Luszczek, HPCS Library Study Effort,” University of Tennessee Computer Science Technical Report, UT-CS-08-617, January 2008.  (73.22 KB)
Dongarra, J., Network-Enabled Solvers: A Step Toward Grid-Based Computing,” SIAM News, vol. 34, no. 10, December 2001.
Dongarra, J., M. Faverge, H. Ltaeif, and P. Luszczek, Achieving numerical accuracy and high performance using recursive tile LU factorization with partial pivoting,” Concurrency and Computation: Practice and Experience, vol. 26, issue 7, pp. 1408-1431, May 2014.  (1.96 MB)
Dongarra, J., P. Kacsuk, and N.. Podhorszki, Recent Advances in Parallel Virtual Machine and Message Passing Interface,” Lecture Notes in Computer Science: Proceedings of 7th European PVM/MPI Users' Group Meeting 2000, (Hungary: Springer Verlag), pp. V1908, January 2000.
Dongarra, J., High Performance Computing Trends and Self Adapting Numerial Software,” Lecture Notes in Computer Science, High Performance Computing, 5th International Symposium ISHPC, vol. 2858, Tokyo-Odaiba, Japan, Springer-Verlag, Heidelberg, pp. 1-9, January 2003.
Dongarra, J., M. Faverge, T. Herault, J. Langou, and Y. Robert, Hierarchical QR factorization algorithms for multi-core cluster systems,” University of Tennessee Computer Science Technical Report (also Lawn 257), no. UT-CS-11-684, October 2011.  (405.71 KB)
Dongarra, J., and P. Luszczek, HPC Challenge: Design, History, and Implementation Highlights,” On the Road to Exascale Computing: Contemporary Architectures in High Performance Computing (to appear): Chapman & Hall/CRC Press, 00-2012.  (469.92 KB)
Dongarra, J., and et al., Remembering Ken Kennedy,” SciDAC Review, vol. 5, no. 2007, 00-2007.  (519.68 KB)
Dongarra, J., M. Heroux, and P. Luszczek, HPCG Benchmark: a New Metric for Ranking High Performance Computing Systems,” University of Tennessee Computer Science Technical Report , no. ut-eecs-15-736: University of Tennessee, January 2015.
Dongarra, J., and P. Luszczek, Introduction to the HPCChallenge Benchmark Suite,” ICL Technical Report, no. ICL-UT-05-01, (Also appears as CS Dept. Tech Report UT-CS-05-544), January 2005.  (124.86 KB)
Dongarra, J., S. Moore, and A. Trefethen, Numerical Libraries and Tools for Scalable Parallel Cluster Computing,” International Journal of High Performance Applications and Supercomputing, vol. 15, no. 2, pp. 175-180, January 2001.  (37.38 KB)
Dongarra, J., and V. Eijkhout, Numerical Linear Algebra Algorithms and Software,” Journal of Computational and Applied Mathematics, vol. 123, no. 1-2, pp. 489-514, October 1999.  (258.62 KB)
Dongarra, J., and P. Luszczek, 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)
Dongarra, J., G. Bosilca, R. Delmas, and J. Langou, Algorithmic Based Fault Tolerance Applied to High Performance Computing,” Journal of Parallel and Distributed Computing, vol. 69, pp. 410-416, 00-2009.  (313.55 KB)
Dongarra, J., A. Haidar, O. Hernandez, S. Tomov, and M. Grentla Venkata, POMPEI: Programming with OpenMP4 for Exascale Investigations,” Innovative Computing Laboratory Technical Report, no. ICL-UT-17-09: University of Tennessee, December 2017.  (1.1 MB)
Dongarra, J., V. Eijkhout, and H. van der Vorst, An Iterative Solver Benchmark,” Scientific Programming (to appear), 00-2002.  (142.67 KB)
Dongarra, J., Performance of Various Computers Using Standard Linear Equations Software,” University of Tennessee Computer Science Technical Report, no. cs-89-85, February 2013.  (539.24 KB)
Dongarra, J., and P. Beckman, International Exascale Software Project Roadmap v1.0,” University of Tennessee Computer Science Technical Report, UT-CS-10-654, May 2010.  (719.74 KB)
Dongarra, J., M. Faverge, T. Herault, J. Langou, and Y. Robert, Hierarchical QR factorization algorithms for multi-core cluster systems,” IPDPS 2012, the 26th IEEE International Parallel and Distributed Processing Symposium, Shanghai, China, IEEE Computer Society Press, May 2012.  (405.71 KB)
Dongarra, J., V. Eijkhout, and H. van der Vorst, Iterative Solver Benchmark (LAPACK Working Note 152),” Scientific Programming, vol. 9, no. 4, pp. 223-231, 00-2001.  (168.05 KB)
Dongarra, J., V. Eijkhout, and P. Luszczek, 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)
Dongarra, J., M. Gates, A. Haidar, J. Kurzak, P. Luszczek, S. Tomov, and I. Yamazaki, Accelerating Numerical Dense Linear Algebra Calculations with GPUs,” Numerical Computations with GPUs: Springer International Publishing, pp. 3-28, 2014.  (1.06 MB)
Dongarra, J., Performance of Various Computers Using Standard Linear Equations Software (Linpack Benchmark Report),” University of Tennessee Computer Science Technical Report, no. CS-89-85, 00-2011.  (6.42 MB)
Dongarra, J., T. Herault, and Y. Robert, Revisiting the Double Checkpointing Algorithm,” 15th Workshop on Advances in Parallel and Distributed Computational Models, at the IEEE International Parallel & Distributed Processing Symposium, Boston, MA, May 2013.  (591.1 KB)
Dongarra, J., S. Moore, P. Mucci, K. Seymour, and H. You, Accurate Cache and TLB Characterization Using hardware Counters,” Proceedings of ICCS 2004 (to appear), Krakow Poland, January 2004.  (167.1 KB)
Dongarra, J., A. Maloney, S. Moore, P. Mucci, and S. Shende, Performance Instrumentation and Measurement for Terascale Systems,” ICCS 2003 Terascale Workshop, Melbourne, Australia, June 2003.  (5.36 MB)
Dongarra, J., R. Graybill, W. Harrod, R. Lucas, E. Lusk, P. Luszczek, J. McMahon, A. Snavely, J. Vetter, K. Yelick, et al., DARPA's HPCS Program: History, Models, Tools, Languages,” in Advances in Computers, vol. 72: Elsevier, January 2008.  (3.61 MB)
Dongarra, J., T. Herault, and Y. Robert, Fault Tolerance Techniques for High-performance Computing,” University of Tennessee Computer Science Technical Report (also LAWN 289), no. UT-EECS-15-734: University of Tennessee, May 2015.
Dongarra, J., M. Heroux, and P. Luszczek, High Performance Conjugate Gradient Benchmark: A new Metric for Ranking High Performance Computing Systems,” International Journal of High Performance Computing Applications, vol. 30, issue 1, pp. 3 - 10, February 2016.  (277.51 KB)
Dongarra, J., Performance of Various Computers Using Standard Linear Equations Software (Linpack Benchmark Report),” University of Tennessee Computer Science Technical Report, UT-CS-89-85, 00-2010.  (6.42 MB)
Dongarra, J., H. Meuer, H. D. Simon, and E. Strohmaier, Biannual Top-500 Computer Lists Track Changing Environments for Scientific Computing,” SIAM News, vol. 34, no. 9, October 2002.  (2.62 MB)
Dongarra, J., and P. Raghavan, A New Recursive Implementation of Sparse Cholesky Factorization,” Proceedings of 16th IMACS World Congress 2000 on Scientific Computing, Applications Mathematics and Simulation, Lausanne, Switzerland, August 2000.
Dongarra, J., S. Hammarling, N. Higham, S. Relton, and M. Zounon, Optimized Batched Linear Algebra for Modern Architectures,” Euro-Par 2017, Santiago de Compostela, Spain, Springer, August 2017.
Dongarra, J., Performance of Various Computers Using Standard Linear Equations Software (Linpack Benchmark Report),” University of Tennessee Computer Science Technical Report, no. CS-89-85, January 2001.  (6.42 MB)
Dongarra, J., and A. Lastovetsky, An Overview of Heterogeneous High Performance and Grid Computing,” Engineering the Grid (to appear): Nova Science Publishers, Inc., 00-2004.  (199.93 KB)

Pages