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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.
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.
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)
Kurzak, J., H. Anzt, M. Gates, and J. Dongarra, Implementation and Tuning of Batched Cholesky Factorization and Solve for NVIDIA GPUs,” IEEE Transactions on Parallel and Distributed Systems, no. 1045-9219, November 2015.
Keller, R., G. Bosilca, G. Fagg, M. Resch, and J. Dongarra, Implementation and Usage of the PERUSE-Interface in Open MPI,” Euro PVM/MPI 2006, Bonn, Germany, September 2006.  (310.76 KB)
Kurzak, J., and J. Dongarra, Implementation of Mixed Precision in Solving Systems of Linear Equations on the Cell Processor,” Concurrency and Computation: Practice and Experience, vol. 19, no. 10, pp. 1371-1385, July 2007.  (453.78 KB)
Abdelfattah, A., M. Gates, J. Kurzak, P. Luszczek, and J. Dongarra, Implementation of the C++ API for Batch BLAS,” SLATE Working Notes, no. 7, ICL-UT-18-04: Innovative Computing Laboratory, University of Tennessee, June 2018.  (1.07 MB)
Kurzak, J., and J. Dongarra, Implementation of the Mixed-Precision High Performance LINPACK Benchmark on the CELL Processor,” University of Tennessee Computer Science Tech Report, no. UT-CS-06-580, LAPACK Working Note #177, September 2006.  (506.18 KB)
Kurzak, J., R. Nath, P. Du, and J. Dongarra, An Implementation of the Tile QR Factorization for a GPU and Multiple CPUs,” Applied Parallel and Scientific Computing, vol. 7133, pp. 248-257, 00 2012.  (623.5 KB)
Yamazaki, I., D. Becker, J. Dongarra, A. Druinsky, I.. Peled, S. Toledo, G. Ballard, J. Demmel, and O. Schwartz, Implementing a Blocked Aasen’s Algorithm with a Dynamic Scheduler on Multicore Architectures,” IPDPS 2013 (submitted), Boston, MA, 00 2013.  (1.22 MB)
Anzt, H., S. Tomov, and J. Dongarra, Implementing a Sparse Matrix Vector Product for the SELL-C/SELL-C-σ formats on NVIDIA GPUs,” University of Tennessee Computer Science Technical Report, no. UT-EECS-14-727: University of Tennessee, April 2014.  (578.11 KB)
Aupy, G., M. Faverge, Y. Robert, J. Kurzak, P. Luszczek, and J. Dongarra, Implementing a systolic algorithm for QR factorization on multicore clusters with PaRSEC,” Lawn 277, no. UT-CS-13-709, May 2013.  (298.63 KB)
Kurzak, J., and J. Dongarra, Implementing Linear Algebra Routines on Multi-Core Processors with Pipelining and a Look Ahead,” University of Tennessee Computer Science Tech Report, UT-CS-06-581, LAPACK Working Note #178, January 2006.  (304.4 KB)
Nath, R., S. Tomov, and J. Dongarra, An Improved MAGMA GEMM for Fermi GPUs,” University of Tennessee Computer Science Technical Report, no. UT-CS-10-655 (also LAPACK working note 227), July 2010.  (486.71 KB)
Nath, R., S. Tomov, and J. Dongarra, An Improved MAGMA GEMM for Fermi GPUs,” International Journal of High Performance Computing, vol. 24, no. 4, pp. 511-515, 00 2010.
Haidar, A., P. Luszczek, J. Kurzak, and J. Dongarra, An Improved Parallel Singular Value Algorithm and Its Implementation for Multicore Hardware,” University of Tennessee Computer Science Technical Report (also LAWN 283), no. ut-eecs-13-720: University of Tennessee, October 2013.  (1.23 MB)
Haidar, A., P. Luszczek, J. Kurzak, and J. Dongarra, An Improved Parallel Singular Value Algorithm and Its Implementation for Multicore Hardware,” Supercomputing 2013, Denver, CO, November 2013.
Jeannot, E., K. Seymour, A. YarKhan, and J. Dongarra, Improved Runtime and Transfer Time Prediction Mechanisms in a Network Enabled Servers Middleware,” Parallel Processing Letters, vol. 17, no. 1, pp. 47-59, March 2007.  (718.4 KB)
Jeannot, E., K. Seymour, A. YarKhan, and J. Dongarra, Improved Runtime and Transfer Time Prediction Mechanisms in a Network Enabled Server,” Parallel Processing Letters, vol. 17, no. 1, pp. 47-59, March 2006.  (718.4 KB)
Turchenko, V., L. Grandinetti, G. Bosilca, and J. Dongarra, Improvement of parallelization efficiency of batch pattern BP training algorithm using Open MPI,” Proceedings of International Conference on Computational Science, ICCS 2010 (to appear), Amsterdam The Netherlands, Elsevier, June 2010.  (125.01 KB)
Eidson, T., V. Eijkhout, and J. Dongarra, Improvements in the Efficient Composition of Applications,” IPDPS 2004, NGS Workshop (to appear), Sante Fe, 00 2004.  (42.85 KB)
Yamazaki, I., M. Hoemmen, P. Luszczek, and J. Dongarra, Improving Performance of GMRES by Reducing Communication and Pipelining Global Collectives,” Proceedings of The 18th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2017), Best Paper Award, Orlando, FL, June 2017.  (453.66 KB)
Yamazaki, I., H. Anzt, S. Tomov, M. Hoemmen, and J. Dongarra, Improving the performance of CA-GMRES on multicores with multiple GPUs,” IPDPS 2014, Phoenix, AZ, IEEE, May 2014.  (333.82 KB)
Moore, S., F. Wolf, J. Dongarra, and B. Mohr, Improving Time to Solution with Automated Performance Analysis,” Second Workshop on Productivity and Performance in High-End Computing (P-PHEC) at 11th International Symposium on High Performance Computer Architecture (HPCA-2005), San Francisco, February 2005.  (112.63 KB)
Anzt, H., T. Huckle, J. Bräckle, and J. Dongarra, Incomplete Sparse Approximate Inverses for Parallel Preconditioning,” Parallel Computing, vol. 71, pp. 1–22, January 2018. DOI: 10.1016/j.parco.2017.10.003
Luszczek, P., I. Yamazaki, and J. Dongarra, Increasing Accuracy of Iterative Refinement in Limited Floating-Point Arithmetic on Half-Precision Accelerators,” 2019 IEEE High Performance Extreme Computing Conference (HPEC ‘19), Waltham, MA, IEEE, September 2019.  (469.96 KB)
Ghysels, P., S. Li, A. YarKhan, and J. Dongarra, Initial Integration and Evaluation of SLATE and STRUMPACK,” Innovative Computing Laboratory Technical Report, no. ICL-UT-18-11: University of Tennessee, December 2018.  (249.78 KB)
YarKhan, A., G. Ragghianti, J. Dongarra, M. Cawkwell, D. Perez, and A. Voter, Initial Integration and Evaluation of SLATE Parallel BLAS in LATTE,” Innovative Computing Laboratory Technical Report, no. ICL-UT-18-07: Innovative Computing Laboratory, University of Tennessee, June 2018.  (366.6 KB)
Arnold, D., H. Casanova, and J. Dongarra, Innovations of the NetSolve Grid Computing System,” Concurrency: Practice and Experience, vol. 14, no. 13-15, pp. 1457-1479, January 2002.  (311.31 KB)
Hardt, M., K. Seymour, J. Dongarra, M. Zapf, and N. Ruiter, Interactive Grid-Access Using Gridsolve and Giggle,” Computing and Informatics, vol. 27, no. 2, pp. 233-248,ISSN1335-9150, 00 2008.  (533.4 KB)
Canning, A., J. Dongarra, J. Langou, O. Marques, S. Tomov, C. Voemel, and L-W. Wang, Interior State Computation of Nano Structures,” PARA 2008, 9th International Workshop on State-of-the-Art in Scientific and Parallel Computing, Trondheim, Norway, May 2008.  (137.12 KB)
Dongarra, J., P. Beckman, P. Aerts, F. Cappello, T. Lippert, S. Matsuoka, P. Messina, T. Moore, R. Stevens, A. Trefethen, et al., The International Exascale Software Project: A Call to Cooperative Action by the Global High Performance Community,” International Journal of High Performance Computing Applications (to appear), July 2009.  (203.04 KB)
Dongarra, J., P. Beckman, and et al., The International Exascale Software Project Roadmap,” International Journal of High Performance Computing, vol. 25, no. 1, pp. 3-60, 00 2011.  (719.74 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)
Luszczek, P., J. Dongarra, D. Koester, R. Rabenseifner, R. Lucas, J. Kepner, J. McCalpin, D. Bailey, and D. Takahashi, Introduction to the HPC Challenge Benchmark Suite , March 2005.  (124.86 KB)
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., and S. Tomov, An Introduction to the MAGMA project - Acceleration of Dense Linear Algebra : NVIDIA Webinar, June 2010.
Haidar, A., P. Wu, S. Tomov, and J. Dongarra, Investigating Half Precision Arithmetic to Accelerate Dense Linear System Solvers,” ScalA17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, Denver, CO, ACM.  (766.35 KB)
Haidar, A., H. Jagode, P. Vaccaro, A. YarKhan, S. Tomov, and J. Dongarra, Investigating Power Capping toward Energy-Efficient Scientific Applications,” Concurrency Computation: Practice and Experience, vol. 2018, issue e4485, pp. 1-14, April 2018. DOI: 10.1002/cpe.4485  (1.2 MB)
Jagode, H., S. Moore, D. Terpstra, J. Dongarra, A. Knuepfer, M. Jurenz, M. S. Mueller, and W. E. Nagel, I/O Performance Analysis for the Petascale Simulation Code FLASH,” ISC'09, Hamburg, Germany, June 2009.  (88.88 KB)
Dongarra, J., V. Eijkhout, and H. van der Vorst, An Iterative Solver Benchmark,” Scientific Programming (to appear), 00 2002.  (142.67 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)
Anzt, H., E. Chow, and J. Dongarra, Iterative Sparse Triangular Solves for Preconditioning,” EuroPar 2015, Vienna, Austria, Springer Berlin, August 2015. DOI: 10.1007/978-3-662-48096-0_50  (322.36 KB)
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Anzt, H., and J. Dongarra, A Jaccard Weights Kernel Leveraging Independent Thread Scheduling on GPUs,” SBAC-PAD, 2018.  (237.68 KB)
Doolin, D., J. Dongarra, and K. Seymour, JLAPACK - Compiling LAPACK Fortran to Java,” Scientific Programming, vol. 7, no. 2, pp. 111-138, October 2002.  (307.46 KB)
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Vetter, J., R. Glassbrook, K. Schwan, S. Yalamanchili, M. Horton, A. Gavrilovska, M. Slawinska, J. Dongarra, J. Meredith, P. Roth, et al., Keeneland: Computational Science Using Heterogeneous GPU Computing,” Contemporary High Performance Computing: From Petascale Toward Exascale, Boca Raton, FL, Taylor and Francis, 2013.  (2.7 MB)
Ma, T., G. Bosilca, A. Bouteiller, B. Goglin, J.. Squyres, and J. Dongarra, Kernel Assisted Collective Intra-node Communication Among Multicore and Manycore CPUs,” University of Tennessee Computer Science Technical Report, UT-CS-10-663, November 2010.  (384.75 KB)
Ma, T., G. Bosilca, A. Bouteiller, B. Goglin, J.. Squyres, and J. Dongarra, Kernel Assisted Collective Intra-node MPI Communication Among Multi-core and Many-core CPUs,” Int'l Conference on Parallel Processing (ICPP '11), Taipei, Taiwan, September 2011.
Ma, T., G. Bosilca, A. Bouteiller, and J. Dongarra, Kernel-assisted and topology-aware MPI collective communications on multi-core/many-core platforms,” Journal of Parallel and Distributed Computing, vol. 73, issue 7, pp. 1000-1010, July 2013. DOI: 10.1016/j.jpdc.2013.01.015  (1.4 MB)

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