Publications

Export 1275 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 
H
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. 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)
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)
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)
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)
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)
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)
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)
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. 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)
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.
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)
White, J. B., and J. Dongarra, “High-Performance High-Resolution Semi-Lagrangian Tracer Transport on a Sphere,” Journal of Computational Physics, vol. 230, issue 17, pp. 6778-6799, July 2011.  (1.68 MB)
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,” University of Tennessee Computer Science Technical Report, no. UT-EECS-16-738: University of Tennessee, January 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,” International Conference on Computational Science (ICCS'16), San Diego, CA, June 2016.  (2.36 MB)
Brown, C., A. Abdelfattah, S. Tomov, and J. Dongarra, hipMAGMA v1.0 : Zenodo, March 2020.
Brown, C., A. Abdelfattah, S. Tomov, and J. Dongarra, hipMAGMA v2.0 : Zenodo, July 2020.
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)
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., 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)
Langou, J., B. Hoffman, and B. King, “How LAPACK library enables Microsoft Visual Studio support with CMake and LAPACKE,” University of Tennessee Computer Science Technical Report (also LAWN 270), no. UT-CS-12-698, July 2012.  (501.53 KB)
Wong, K., S. Tomov, D. Nichols, R. Febbo, F. Lopez, J. Halloy, and X. Ma, How to Build Your Own Deep Neural Network : PEARC20, July 2020.  (18.8 MB)
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 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)
Luszczek, P., D. Bailey, J. Dongarra, J. Kepner, R. Lucas, R. Rabenseifner, and D. Takahashi, “The HPC Challenge (HPCC) Benchmark Suite,” SC06 Conference Tutorial, Tampa, Florida, IEEE, November 2006.  (1.08 MB)
Luszczek, P., and D. Koester, “HPC Challenge v1.x Benchmark Suite,” SC|05 Tutorial - S13, Seattle, Washington, January 2005.  (2.94 MB)
Reed, D., D. Gannon, and J. Dongarra, “HPC Forecast: Cloudy and Uncertain,” Communications of the ACM, vol. 66, issue 2, pp. 82 - 90, January 2023.
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)
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., 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., The HPL Benchmark: Past, Present & Future , ISC High Performance, Frankfurt, Germany, July 2016.  (3.41 MB)
Ltaeif, H., S. Tomov, R. Nath, and J. Dongarra, “Hybrid Multicore Cholesky Factorization with Multiple GPU Accelerators,” IEEE Transaction on Parallel and Distributed Systems (submitted), March 2010.  (3.75 MB)
Lukarski, D., H. Anzt, S. Tomov, and J. Dongarra, “Hybrid Multi-Elimination ILU Preconditioners on GPUs,” International Heterogeneity in Computing Workshop (HCW), IPDPS 2014, Phoenix, AZ, IEEE, May 2014.  (1.67 MB)
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.
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)
I
Elwasif, W., M. Beck, and J. Plank, “IBP - Internet Backplane Protocol: Infrastructure for Distributed Storage (V O.2),” University of Tennessee Computer Science Department Technical Report, no. UT-CS-99-430, February 1999.  (37.72 KB)
Benoit, A., F. Cappello, A. Cavelan, Y. Robert, and H. Sun, “Identifying the Right Replication Level to Detect and Correct Silent Errors at Scale,” 2017 Workshop on Fault-Tolerance for HPC at Extreme Scale, Washington, DC, ACM, June 2017.  (865.68 KB)
Ma, T., A. Bouteiller, G. Bosilca, and J. Dongarra, “Impact of Kernel-Assisted MPI Communication over Scientific Applications: CPMD and FFTW,” 18th EuroMPI, Santorini, Greece, Springer, pp. 247-254, September 2011.
Dongarra, J., D. Gannon, G. Fox, and K. Kennedy, “The Impact of Multicore on Computational Science Software,” CTWatch Quarterly, vol. 3, issue 1, February 2007.
Buttari, A., J. Dongarra, J. Kurzak, J. Langou, P. Luszczek, and S. Tomov, “The Impact of Multicore on Math Software,” PARA 2006, Umea, Sweden, June 2006.  (223.53 KB)
Youseff, L., K. Seymour, H. You, J. Dongarra, and R. Wolski, “The Impact of Paravirtualized Memory Hierarchy on Linear Algebra Computational Kernels and Software,” ACM/IEEE International Symposium on High Performance Distributed Computing, Boston, MA., June 2008.  (403.89 KB)
Alam, S., R. F. Barrett, H. Jagode, J. A.. Kuehn, S. W. Poole, and R.. Sankaran, “Impact of Quad-core Cray XT4 System and Software Stack on Scientific Computation,” Euro-Par 2009, Lecture Notes in Computer Science, vol. 5704/2009, Delft, The Netherlands, Springer Berlin / Heidelberg, pp. 334-344, August 2009.  (312.74 KB)
Ayala, A., S. Tomov, X. Luo, H. Shaiek, A. Haidar, G. Bosilca, and J. Dongarra, “Impacts of Multi-GPU MPI Collective Communications on Large FFT Computation,” Workshop on Exascale MPI (ExaMPI) at SC19, Denver, CO, November 2019.  (1.6 MB)

Pages