Publications

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Vadhiyar, S., and J. Dongarra, GrADSolve - A Grid-based RPC System for Remote Invocation of Parallel Software,” Journal of Parallel and Distributed Computing (submitted), March 2003.  (241.3 KB)
Vadhiyar, S., J. Dongarra, and A. YarKhan, GrADSolve - RPC for High Performance Computing on the Grid,” Lecture Notes in Computer Science, Proceedings of the 9th International Euro-Par Conference, vol. 2790, Klagenfurt, Austria, Springer-Verlag, Berlin, pp. 394-403, January 2003.  (125.96 KB)
Cunha, M., J. Telles, A. YarKhan, and J. Dongarra, Grid Computing applied to the Boundary Element Method,” Proceedings of the First International Conference on Parallel, Distributed and Grid Computing for Engineering, vol. 27, no. :104203/9027, Stirlingshire, UK, Civil-Comp Press, 00-2009.
Miller, M., C. Moulding, J. Dongarra, and C. Johnson, Grid-Enabling Problem Solving Environments: A Case Study of SCIRUN and NetSolve,” Proceedings of the High Performance Computing Symposium (HPC 2001) in 2001 Advanced Simulation Technologies Conference, Seattle, Washington, Society for Modeling and Simulation International, April 2001.  (144.19 KB)
Seymour, K., H. Nakada, S. Matsuoka, J. Dongarra, C. Lee, and H. Casanova, GridRPC: A Remote Procedure Call API for Grid Computing,” ICL Technical Report, no. ICL-UT-02-06, November 2002.  (287.73 KB)
YarKhan, A., J. Dongarra, and K. Seymour, GridSolve: The Evolution of Network Enabled Solver,” Grid-Based Problem Solving Environments: IFIP TC2/WG 2.5 Working Conference on Grid-Based Problem Solving Environments (Prescott, AZ, July 2006): Springer, pp. 215-226, 00-2007.  (377.48 KB)
Haidar, A., A. Abdelfattah, M. Zounon, S. Tomov, and J. Dongarra, A Guide for Achieving High Performance with Very Small Matrices on GPUs: A Case Study of Batched LU and Cholesky Factorizations,” IEEE Transactions on Parallel and Distributed Systems, vol. 29, issue 5, pp. 973–984, May 2018.  (832.92 KB)
H
Wong, K., S. Tomov, and J. Dongarra, Hands-on Research and Training in High-Performance Data Sciences, Data Analytics, and Machine Learning for Emerging Environments,,” ISC High Performance, Frankfurt, Germany, Springer International Publishing, June 2019.  (1016.52 KB)
Agrawal, S., Hardware Software Server in NetSolve,” ICL Technical Report, no. ICL-UT-02-02, January 2002.  (221.4 KB)
Wolf, F., and B. Mohr, Hardware-Counter Based Automatic Performance Analysis of Parallel Programs,” Proc. of the Minisymposium 'Performance Analysis', Conference on Parallel Computing (PARCO), Dresden, Germany, Elsevier, 00-2003.
Beck, M., J. Dongarra, G. Fagg, A. Geist, P. Gray, J. Kohl, M. Migliardi, K. Moore, T. Moore, P. Papadopoulous, et al., HARNESS: A Next Generation Distributed Virtual Machine,” International Journal on Future Generation Computer Systems, vol. 15, no. 5-6, pp. 571-582, January 1999.  (183.78 KB)
Fagg, G., A. Bukovsky, and J. Dongarra, HARNESS and Fault Tolerant MPI,” Parallel Computing, vol. 27, no. 11, pp. 1479-1496, January 2001.  (164.2 KB)
Fagg, G., and J. Dongarra, HARNESS Fault Tolerant MPI Design, Usage and Performance Issues,” Future Generation Computer Systems, vol. 18, no. 8, pp. 1127-1142, January 2002.  (403.41 KB)
Haidar, A., S. Tomov, J. Dongarra, and N. J. Higham, Harnessing GPU Tensor Cores for Fast FP16 Arithmetic to Speed up Mixed-Precision Iterative Refinement Solvers,” The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18), Dallas, TX, IEEE, November 2018.
Haidar, A., A. Abdelfattah, S. Tomov, and J. Dongarra, Harnessing GPU's Tensor Cores Fast FP16 Arithmetic to Speedup Mixed-Precision Iterative Refinement Solvers and Achieve 74 Gflops/Watt on Nvidia V100 , San Jose, CA, GPU Technology Conference (GTC), Poster, March 2018.  (2.96 MB)
Bosilca, G., J. Dongarra, G. Fagg, and J. Langou, Hash Functions for Datatype Signatures in MPI,” Proceedings of 12th European Parallel Virtual Machine and Message Passing Interface Conference - Euro PVM/MPI, vol. 3666, Sorrento (Naples), Italy, Springer-Verlag Berlin, pp. 76-83, September 2005.  (304.2 KB)
Jia, Y., P. Luszczek, and J. Dongarra, Hessenberg Reduction with Transient Error Resilience on GPU-Based Hybrid Architectures,” 30th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Chicago, IL, IEEE, May 2016.  (535.72 KB)
Haidar, A., P. Luszczek, S. Tomov, and J. Dongarra, Heterogeneous Acceleration for Linear Algebra in Mulit-Coprocessor Environments,” VECPAR 2014, Eugene, OR, June 2014.  (276.52 KB)
Newburn, C. J., G. Bansal, M. Wood, L. Crivelli, J. Planas, A. Duran, P. Souza, L. Borges, P. Luszczek, S. Tomov, et al., Heterogeneous Streaming,” The Sixth International Workshop on Accelerators and Hybrid Exascale Systems (AsHES), IPDPS 2016, Chicago, IL, IEEE, May 2016.  (2.73 MB)
Wu, W., A. Bouteiller, G. Bosilca, M. Faverge, and J. Dongarra, Hierarchical DAG scheduling for Hybrid Distributed Systems,” 29th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Hyderabad, India, IEEE, May 2015.  (1.11 MB)
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., 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., 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)
Ma, T., G. Bosilca, A. Bouteiller, and J. Dongarra, HierKNEM: An Adaptive Framework for Kernel-Assisted and Topology-Aware Collective Communications on Many-core Clusters,” IPDPS 2012 (Best Paper), Shanghai, China, May 2012.  (165.9 KB)
Ltaeif, H., P. Luszczek, and J. Dongarra, High Performance Bidiagonal Reduction using Tile Algorithms on Homogeneous Multicore Architectures,” University of Tennessee Computer Science Technical Report, UT-CS-11-673, (also Lawn 247), May 2011.  (424.93 KB)
Ltaeif, H., P. Luszczek, and J. Dongarra, High Performance Bidiagonal Reduction using Tile Algorithms on Homogeneous Multicore Architectures,” ACM Transactions on Mathematical Software (TOMS), vol. 39, issue 3, no. 16, 2013.  (665.7 KB)
Palma, J., J. Dongarra, and V. Hernández, High Performance Computing for Computational Science,” Lecture Notes in Computer Science, vol. 2565, VECPAR 2002, 5th International Conference June 26-28, 2002, Springer-Verlag, Berlin, January 2003.
Dongarra, J., and A. J. van der Steen, High Performance Computing Systems: Status and Outlook,” Acta Numerica, vol. 21, Cambridge, UK, Cambridge University Press, pp. 379-474, May 2012.  (1.48 MB)
Dongarra, J., H. Meuer, H. D. Simon, and E. Strohmaier, High Performance Computing Today,” FOMMS 2000: Foundations of Molecular Modeling and Simulation Conference (to appear), January 2000.  (66 KB)
Dongarra, J., H. Meuer, H. D. Simon, and E. Strohmaier, High Performance Computing Trends,” HERMIS, vol. 2, pp. 155-163, November 2001.
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., High Performance Computing Trends, Supercomputers, Clusters, and Grids,” Information Processing Society of Japan Symposium Series, vol. 2003, no. 14, pp. 55-58, January 2003.
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)
Du, P., P. Luszczek, and J. Dongarra, High Performance Dense Linear System Solver with Resilience to Multiple Soft Errors,” ICCS 2012, Omaha, NE, June 2012.  (1.27 MB)
Du, P., P. Luszczek, and J. Dongarra, High Performance Dense Linear System Solver with Soft Error Resilience,” IEEE Cluster 2011, Austin, TX, September 2011.  (1.27 MB)
Luszczek, P., 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)
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)
Caniou, Y., E. Caron, F. Desprez, H. Nakada, Y. Tanaka, and K. Seymour, High Performance GridRPC Middleware,” Recent developments in Grid Technology and Applications: Nova Science Publishers, 00-2008.  (923.06 KB)
Dongarra, J., M. Faverge, H. Ltaeif, and P. Luszczek, High Performance Matrix Inversion Based on LU Factorization for Multicore Architectures,” Proceedings of MTAGS11, Seattle, WA, November 2011.  (879.49 KB)
Shipman, G. M., G. Bosilca, and A. B. Maccabe, High Performance RDMA Protocols in HPC,” Euro PVM/MPI 2006, Bonn, Germany, September 2006.  (1.06 MB)
Yamazaki, I., S. Nooshabadi, S. Tomov, and J. Dongarra, High Performance Realtime Convex Solver for Embedded Systems,” University of Tennessee Computer Science Technical Report, no. UT-EECS-16-745, October 2016.  (225.43 KB)
Haidar, A., A. Abdelfattah, S. Tomov, and J. Dongarra, High-performance Cholesky Factorization for GPU-only Execution,” Proceedings of the General Purpose GPUs (GPGPU-10), Austin, TX, ACM, February 2017.  (872.18 KB)
Dongarra, J., N. J. Higham, M. R. Dennis, P. Glendinning, P. A. Martin, F. Santosa, and J. Tanner, High-Performance Computing,” The Princeton Companion to Applied Mathematics, Princeton, New Jersey, Princeton University Press, pp. 839-842, 2015.
Dongarra, J., M. Heroux, and P. Luszczek, High-Performance Conjugate-Gradient Benchmark: A New Metric for Ranking High-Performance Computing Systems,” The International Journal of High Performance Computing Applications, 2015.  (336.19 KB)
Anzt, H., T. Gruetzmacher, E. Quintana-Orti, and F. Scheidegger, High-Performance GPU Implementation of PageRank with Reduced Precision based on Mantissa Segmentation,” 8th Workshop on Irregular Applications: Architectures and Algorithms, 2018.
Graham, R. L., G. M. Shipman, B. Barrett, R. Castain, G. Bosilca, and A. Lumsdaine, A High-Performance, Heterogeneous MPI,” HeteroPar 2006, Barcelona, Spain, September 2006.  (193.73 KB)
Masliah, I., A. Abdelfattah, A. Haidar, S. Tomov, J. Falcou, and J. Dongarra, High-performance Matrix-matrix Multiplications of Very Small Matrices,” 22nd International European Conference on Parallel and Distributed Computing (Euro-Par'16), Grenoble, France, Springer International Publishing, August 2016.
Abdelfattah, A., M. Baboulin, V. Dobrev, J. Dongarra, C. Earl, J. Falcou, A. Haidar, I. Karlin, T. Kolev, I. Masliah, et al., High-Performance Tensor Contractions for GPUs,” International Conference on Computational Science (ICCS'16), San Diego, CA, June 2016.  (2.36 MB)
Abdelfattah, A., M. Baboulin, V. Dobrev, J. Dongarra, C. Earl, J. Falcou, A. Haidar, I. Karlin, T. Kolev, I. Masliah, et al., High-Performance Tensor Contractions for GPUs,” University of Tennessee Computer Science Technical Report, no. UT-EECS-16-738: University of Tennessee, January 2016.  (2.36 MB)
Jagode, H., J. Dongarra, S. Alam, J. Vetter, W.. Spear, and A. Maloney, A Holistic Approach for Performance Measurement and Analysis for Petascale Applications,” ICCS 2009 Joint Workshop: Tools for Program Development and Analysis in Computational Science and Software Engineering for Large-Scale Computing, vol. 2009, Baton Rouge, Louisiana, Springer-Verlag Berlin Heidelberg 2009, pp. 686-695, May 2009.  (3.96 MB)

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