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Moore, K., J. Dongarra, S. Moore, and E. Grosse, “NetBuild: Automated Installation and Use of Network-Accessible Software Libraries,” ICL Technical Report, no. ICL-UT-04-02, January 2004.  (80.52 KB)
Moore, K., and J. Dongarra, “NetBuild: Transparent Cross-Platform Access to Computational Software Libraries,” Concurrency and Computation: Practice and Experience, Special Issue: Grid Computing Environments, vol. 14, no. 13-15, pp. 1445-1456, November 2002.  (74.84 KB)
Dongarra, J., G. H. Golub, C. Moler, and K. Moore, “Netlib and NA-Net: building a scientific computing community,” In IEEE Annals of the History of Computing (to appear), August 2007.  (352.71 KB)
Dongarra, J., G. H. Golub, E. Grosse, C. Moler, and K. Moore, “Netlib and NA-Net: Building a Scientific Computing Community,” IEEE Annals of the History of Computing, vol. 30, no. 2, pp. 30-41, January 2008.  (352.71 KB)
Arnold, D., and J. Dongarra, “The NetSolve Environment: Progressing Towards the Seamless Grid,” 2000 International Conference on Parallel Processing (ICPP-2000), Toronto, Canada, August 2000.  (148.85 KB)
Seymour, K., A. YarKhan, S. Agrawal, and J. Dongarra, “NetSolve: Grid Enabling Scientific Computing Environments,” Grid Computing and New Frontiers of High Performance Processing, no. 14: Elsevier, 00 2005.  (425 KB)
Agrawal, S., J. Dongarra, K. Seymour, and S. Vadhiyar, “NetSolve: Past, Present, and Future - A Look at a Grid Enabled Server,” Making the Global Infrastructure a Reality: Wiley Publishing, 00 2003.  (158.19 KB)
Casanova, H., S. Matsuoka, and J. Dongarra, “Network-Enabled Server Systems: Deploying Scientific Simulations on the Grid,” 2001 High Performance Computing Symposium (HPC'01), part of the Advance Simulation Technologies Conference, Seattle, Washington, April 2001.  (175.23 KB)
Dongarra, J., “Network-Enabled Solvers: A Step Toward Grid-Based Computing,” SIAM News, vol. 34, no. 10, December 2001.
Haidar, A., P. Luszczek, and J. Dongarra, “New Algorithm for Computing Eigenvectors of the Symmetric Eigenvalue Problem,” Workshop on Parallel and Distributed Scientific and Engineering Computing, IPDPS 2014 (Best Paper), Phoenix, AZ, IEEE, May 2014.  (2.33 MB)
Berman, F., H. Casanova, A. Chien, K. Cooper, H. Dail, A. Dasgupta, W. Deng, J. Dongarra, L. Johnsson, K. Kennedy, et al., “New Grid Scheduling and Rescheduling Methods in the GrADS Project,” International Journal of Parallel Programming, vol. 33, no. 2: Springer, pp. 209-229, June 2005.  (306.41 KB)
Dongarra, J., M. A. Heroux, and P. Luszczek, “A New Metric for Ranking High-Performance Computing Systems,” National Science Review, vol. 3, issue 1, pp. 30-35, January 2016.  (393.55 KB)
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.
Yamazaki, I., S. Tomov, and J. Dongarra, “Non-GPU-resident Dense Symmetric Indefinite Factorization,” Concurrency and Computation: Practice and Experience, November 2016.
Dongarra, J., “A Not So Simple Matter of Software,” NCSA Access Online: NCSA, 00 2005.  (457.69 KB)
Li, Y., J. Dongarra, and S. Tomov, “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.  (236.02 KB)
Li, Y., J. Dongarra, and S. Tomov, “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.  (236.02 KB)
Abdelfattah, A., A. Haidar, S. Tomov, and J. Dongarra, “Novel HPC Techniques to Batch Execution of Many Variable Size BLAS Computations on GPUs,” International Conference on Supercomputing (ICS '17), Chicago, Illinois, ACM, June 2017.  (1.04 MB)
Solcà, R., A. Haidar, S. Tomov, J. Dongarra, and T. C. Schulthess, “A Novel Hybrid CPU-GPU Generalized Eigensolver for Electronic Structure Calculations Based on Fine Grained Memory Aware Tasks,” Supercomputing '12 (poster), Salt Lake City, Utah, November 2012.
Haidar, A., R. Solcà, M. Gates, S. Tomov, T. C. Schulthess, and J. Dongarra, “A Novel Hybrid CPU-GPU Generalized Eigensolver for Electronic Structure Calculations Based on Fine Grained Memory Aware Tasks,” International Journal of High Performance Computing Applications, vol. 28, issue 2, pp. 196-209, May 2014.  (1.74 MB)
Dongarra, J., L. Grigori, and N. J. Higham, “Numerical Algorithms for High-Performance Computational Science,” Philosophical Transactions of the Royal Society A, vol. 378, issue 2166, 2020.  (724.37 KB)
Petitet, A., S. Blackford, J. Dongarra, B. Ellis, G. Fagg, K. Roche, and S. Vadhiyar, “Numerical Libraries and The Grid,” International Journal of High Performance Applications and Supercomputing, vol. 15, no. 4, pp. 359-374, January 2001.  (67.09 KB)
Petitet, A., S. Blackford, J. Dongarra, B. Ellis, G. Fagg, K. Roche, and S. Vadhiyar, “Numerical Libraries and The Grid: The Grads Experiments with ScaLAPACK,” University of Tennessee Computer Science Technical Report, no. UT-CS-01-460, January 2001.  (91.78 KB)
Browne, S., J. Dongarra, 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, October 2002.  (37.38 KB)
Browne, S., J. Dongarra, and A. Trefethen, “Numerical Libraries and Tools for Scalable Parallel Cluster Computing,” IEEE Cluster Computing BOF at SC99, Portland, Oregon, January 1999.  (37.38 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,” Encyclopedia of Computer Science and Technology, eds. Kent, A., Williams, J., vol. 41, pp. 207-233, August 1999.  (262 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., I. Duff, D. Sorensen, and H. van der Vorst, “Numerical Linear Algebra for High-Performance Computers,” Software, Environments and Tools: SIAM, 1998.
Agullo, E., J. Demmel, J. Dongarra, B. Hadri, J. Kurzak, J. Langou, H. Ltaeif, P. Luszczek, R. Nath, S. Tomov, et al., 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)
Agullo, E., J. Demmel, J. Dongarra, B. Hadri, J. Kurzak, J. Langou, H. Ltaeif, P. Luszczek, and S. Tomov, “Numerical Linear Algebra on Emerging Architectures: The PLASMA and MAGMA Projects,” Journal of Physics: Conference Series, vol. 180, 00 2009.  (119.37 KB)
Nath, R., J. Dongarra, S. Tomov, H. Ltaeif, and P. Du, 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)
Petitet, A., H. Casanova, C. Whaley, J. Dongarra, and Y. Robert, “A Numerical Linear Algebra Problem Solving Environment Designer's Perspective (LAPACK Working Note 139),” SIAM Annual Meeting, Atlanta, GA, May 1999.  (319.71 KB)
Chen, Z., and J. Dongarra, “Numerically Stable Real Number Codes Based on Random Matrices,” The International Conference on Computational Science, Atlanta, GA, LNCS 3514, Springer-Verlag, January 2005.  (166.2 KB)
Chen, Z., and J. Dongarra, “Numerically Stable Real-Number Codes Based on Random Matrices,” University of Tennessee Computer Science Department Technical Report, vol. –04-526, October 2004.  (91.66 KB)
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Chaarawi, M., E. Gabriel, R. Keller, R. L. Graham, G. Bosilca, and J. Dongarra, “OMPIO: A Modular Software Architecture for MPI I/O,” 18th EuroMPI, Santorini, Greece, Springer, pp. 81-89, September 2011.
Chaarawi, M., E. Gabriel, R. Keller, R. L. Graham, G. Bosilca, and J. Dongarra, “OMPIO: A Modular Software Architecture for MPI I/O,” 18th EuroMPI, Santorini, Greece, Springer, pp. 81-89, September 2011.
Yamazaki, I., S. Tomov, and J. Dongarra, “One-Sided Dense Matrix Factorizations on a Multicore with Multiple GPU Accelerators,” The International Conference on Computational Science (ICCS), June 2012.
Du, P., P. Luszczek, and J. Dongarra, “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)
Aupy, G., A. Benoit, T. Herault, Y. Robert, and J. Dongarra, “Optimal Checkpointing Period: Time vs. Energy,” University of Tennessee Computer Science Technical Report (also LAWN 281), no. ut-eecs-13-718: University of Tennessee, October 2013.  (440.13 KB)
Herault, T., Y. Robert, A. Bouteiller, D. Arnold, K. Ferreira, G. Bosilca, and J. Dongarra, “Optimal Cooperative Checkpointing for Shared High-Performance Computing Platforms,” 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Best Paper Award, Vancouver, BC, Canada, IEEE, May 2018.  (899.3 KB)
Angskun, T., G. Bosilca, B. Vander Zanden, and J. Dongarra, “Optimal Routing in Binomial Graph Networks,” The International Conference on Parallel and Distributed Computing, applications and Technologies (PDCAT), Adelaide, Australia, IEEE Computer Society, December 2007.
Anzt, H., M. Kreutzer, E. Ponce, G. D. Peterson, G. Wellein, and J. Dongarra, “Optimization and Performance Evaluation of the IDR Iterative Krylov Solver on GPUs,” The International Journal of High Performance Computing Applications, vol. 32, no. 2, pp. 220–230, March 2018.  (2.08 MB)
Haidar, A., T. Dong, P. Luszczek, S. Tomov, and J. Dongarra, “Optimization for Performance and Energy for Batched Matrix Computations on GPUs,” 8th Workshop on General Purpose Processing Using GPUs (GPGPU 8), San Francisco, CA, ACM, February 2015.  (699.5 KB)
Hiroyasu, T., M. Miki, J. Sawada, and J. Dongarra, “Optimization of Injection Schedule of Diesel Engine Using GridRPC,” Information Processing Society of Japan Symposium Series, vol. 2003, no. 14, pp. 189-197, January 2003.  (520.96 KB)
Hiroyasu, T., M. Miki, H. Shimosaka, and J. Dongarra, “Optimization Problem Solving System using Grid RPC,” 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, Tokyo, Japan, March 2003.  (71.6 KB)
Shimosaka, H., T. Hiroyasu, M. Miki, and J. Dongarra, “Optimization Problem Solving System Using GridRPC,” IEEE Transactions on Parallel and Distributed Systems (submitted), January 2005.  (740.57 KB)
Hiroyasu, T., M. Miki, H. Shimosaka, Y. Tanimura, and J. Dongarra, “Optimization System Using Grid RPC,” Meeting of the Japan Society of Mechanical Engineers, Kyoto University, Kyoto, Japan, October 2002.
Dongarra, J., S. Hammarling, N. J. Higham, S. Relton, and M. Zounon, “Optimized Batched Linear Algebra for Modern Architectures,” Euro-Par 2017, Santiago de Compostela, Spain, Springer, August 2017.  (618.33 KB)
Abdelfattah, A., S. Tomov, and J. Dongarra, Optimizing Batch HGEMM on Small Sizes Using Tensor Cores , San Jose, CA, GPU Technology Conference (GTC), March 2019.  (2.47 MB)

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