Publications

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A
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)
Agrawal, S., “Hardware Software Server in NetSolve,” ICL Technical Report, no. ICL-UT-02-02, January 2002.  (221.4 KB)
Agullo, E., C. Augonnet, J. Dongarra, H. Ltaeif, R. Namyst, S. Thibault, and S. Tomov, “A Hybridization Methodology for High-Performance Linear Algebra Software for GPUs,” in GPU Computing Gems, Jade Edition, vol. 2: Elsevier, pp. 473-484, 00 2011.
Anzt, H., T. Gruetzmacher, E. S. 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.
Ayala, A., S. Tomov, A. Haidar, and J. Dongarra, heFFTe: Highly Efficient FFT for Exascale (Poster) : NVIDIA GPU Technology Conference (GTC2020), October 2020.  (866.88 KB)
Ayala, A., S. Tomov, A. Haidar, and J. Dongarra, “heFFTe: Highly Efficient FFT for Exascale,” International Conference on Computational Science (ICCS 2020), Amsterdam, Netherlands, June 2020.  (2.62 MB)
Ayala, A., S. Tomov, A. Haidar, and J. Dongarra, heFFTe: Highly Efficient FFT for Exascale (Poster) , Seattle, WA, SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP20), February 2020.  (1.54 MB)
Ayala, A., S. Tomov, J. Dongarra, and A. Haidar, heFFTe: Highly Efficient FFT for Exascale (Poster) , Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.  (6.2 MB)
B
Beams, N., A. Abdelfattah, S. Tomov, J. Dongarra, T. Kolev, and Y. Dudouit, “High-Order Finite Element Method using Standard and Device-Level Batch GEMM on GPUs,” 2020 IEEE/ACM 11th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA): IEEE, November 2020.  (1.3 MB)
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)
Beckman, P., J. Dongarra, N. Ferrier, G. Fox, T. Moore, D. Reed, and M. Beck, “Harnessing the Computing Continuum for Programming Our World,” Fog Computing: Theory and Practice: John Wiley & Sons, Inc., 2020.  (1.4 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)
Brown, C., A. Abdelfattah, S. Tomov, and J. Dongarra, hipMAGMA v2.0 : Zenodo, July 2020.
Brown, C., A. Abdelfattah, S. Tomov, and J. Dongarra, hipMAGMA v1.0 : Zenodo, March 2020.
C
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)
Chen, Z., and J. Dongarra, “Highly Scalable Self-Healing Algorithms for High Performance Scientific Computing,” IEEE Transactions on Computers, vol. 58, issue 11, pp. 1512-1524, November 2009.  (1.81 MB)
D
Dong, T., V. Dobrev, T. Kolev, R. Rieben, S. Tomov, and J. Dongarra, “Hydrodynamic Computation with Hybrid Programming on CPU-GPU Clusters,” University of Tennessee Computer Science Technical Report, no. ut-cs-13-714, July 2013.  (866.68 KB)
Dongarra, J., M. A. 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)
Dongarra, J., M. A. 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., 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., “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., 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., 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., M. A. 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., 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., “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., 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., 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., and P. Luszczek, “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)
Dongarra, J., The HPL Benchmark: Past, Present & Future , ISC High Performance, Frankfurt, Germany, July 2016.  (3.41 MB)
Dongarra, J., and P. Luszczek, “HPC Challenge: Design, History, and Implementation Highlights,” Contemporary High Performance Computing: From Petascale Toward Exascale, Boca Raton, FL, Taylor and Francis, 2013.  (790.01 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., 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., 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., 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. 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)
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)
F
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)
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)
G
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)
H
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)
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)
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.  (642.51 KB)
Haidar, A., J. Dongarra, K. Kabir, M. Gates, P. Luszczek, S. Tomov, and Y. Jia, “HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi,” Scientific Programming, vol. 23, issue 1, January 2015.  (553.94 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)
J
Jagode, H., J. Dongarra, S. Alam, J. Vetter, W.. Spear, and A. D. Malony, “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)
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)

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