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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)
Abdelfattah, A., A. Haidar, S. Tomov, and J. Dongarra, “Optimizing GPU Kernels for Irregular Batch Workloads: A Case Study for Cholesky Factorization,” IEEE High Performance Extreme Computing Conference (HPEC’18), Waltham, MA, IEEE, September 2018.  (729.87 KB)
Tomov, S., P. Luszczek, I. Yamazaki, J. Dongarra, H. Anzt, and W. Sawyer, “Optimizing Krylov Subspace Solvers on Graphics Processing Units,” Fourth International Workshop on Accelerators and Hybrid Exascale Systems (AsHES), IPDPS 2014, Phoenix, AZ, IEEE, May 2014.  (536.32 KB)
Alvaro, W., J. Kurzak, and J. Dongarra, “Optimizing Matrix Multiplication for a Short-Vector SIMD Architecture - CELL Processor,” Parallel Computing, vol. 35, pp. 138-150, 00 2009.  (591.16 KB)
Abdelfattah, A., J. Dongarra, D. Keyes, and H. Ltaeif, “Optimizing Memory-Bound Numerical Kernels on GPU Hardware Accelerators,” VECPAR 2012, Kobe, Japan, July 2012.  (737.28 KB)
Plank, J., M. Beck, J. Dongarra, R. Wolski, and H. Casanova, “Optimizing Performance and Reliability in Distributed Computing Systems Through Wide Spectrum Storage,” Proceedings of the IPDPS 2003, NGS Workshop, Nice, France, pp. 209, January 2003.
Nath, R., S. Tomov, T. Dong, and J. Dongarra, “Optimizing Symmetric Dense Matrix-Vector Multiplication on GPUs,” ACM/IEEE Conference on Supercomputing (SC’11), Seattle, WA, November 2011.  (630.63 KB)
Dong, T., A. Haidar, S. Tomov, and J. Dongarra, “Optimizing the SVD Bidiagonalization Process for a Batch of Small Matrices,” International Conference on Computational Science (ICCS 2017), Zurich, Switzerland, Procedia Computer Science, June 2017.  (364.95 KB)
Haidar, A., K. Kabir, D. Fayad, S. Tomov, and J. Dongarra, “Out of Memory SVD Solver for Big Data,” 2017 IEEE High Performance Extreme Computing Conference (HPEC'17), Waltham, MA, IEEE, September 2017.  (1.33 MB)
White, J. B., and J. Dongarra, “Overlapping Computation and Communication for Advection on a Hybrid Parallel Computer,” IEEE International Parallel and Distributed Processing Symposium (submitted), Anchorage, AK, May 2011.
Seymour, K., H. Nakada, S. Matsuoka, J. Dongarra, C. Lee, and H. Casanova, “Overview of GridRPC: A Remote Procedure Call API for Grid Computing,” Proceedings of the Third International Workshop on Grid Computing, pp. 274-278, January 2002.  (221.82 KB)
Dongarra, J., and A. Lastovetsky, “An Overview of Heterogeneous High Performance and Grid Computing,” Engineering the Grid (to appear): Nova Science Publishers, Inc., 00 2004.  (199.93 KB)
Dongarra, J., and A. Lastovetsky, “An Overview of Heterogeneous High Performance and Grid Computing,” Engineering the Grid (to appear): Nova Science Publishers, Inc., 00 2004.  (199.93 KB)
Steen, A J.. van der, and J. Dongarra, “Overview of High Performance Computers,” Handbook of Massive Data Sets: Kluwer Academic Publishers, pp. 791-852, January 2001.  (442.71 KB)
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Danalis, A., H. Jagode, and J. Dongarra, PAPI: Counting outside the Box , Barcelona, Spain, 8th JLESC Meeting, April 2018.
Jagode, H., A. Danalis, H. Anzt, and J. Dongarra, “PAPI Software-Defined Events for in-Depth Performance Analysis,” The International Journal of High Performance Computing Applications, vol. 33, issue 6, pp. 1113-1127, November 2019.  (442.39 KB)
Jagode, H., A. Danalis, and J. Dongarra, PAPI's New Software-Defined Events for In-Depth Performance Analysis , Lyon, France, CCDSC 2018: Workshop on Clusters, Clouds, and Data for Scientific Computing, September 2018.
Danalis, A., H. Jagode, and J. Dongarra, PAPI's new Software-Defined Events for in-depth Performance Analysis , Dresden, Germany, 13th Parallel Tools Workshop, September 2019.  (3.14 MB)
Sid-Lakhdar, W., S. Cayrols, D. Bielich, A. Abdelfattah, P. Luszczek, M. Gates, S. Tomov, H. Johansen, D. Williams-Young, T. Davis, et al., “PAQR: Pivoting Avoiding QR factorization,” 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS), St. Petersburg, FL, USA, IEEE, 2023.
Sid-Lakhdar, W. M., S. Cayrols, D. Bielich, A. Abdelfattah, P. Luszczek, M. Gates, S. Tomov, H. Johansen, D. Williams-Young, T. A. Davis, et al., “PAQR: Pivoting Avoiding QR factorization,” ICL Technical Report, no. ICL-UT-22-06, June 2022.  (364.85 KB)
Petitet, A., H. Casanova, J. Dongarra, Y. Robert, and C. Whaley, “Parallel and Distributed Scientific Computing: A Numerical Linear Algebra Problem Solving Environment Designer's Perspective,” Handbook on Parallel and Distributed Processing, January 1999.  (323.01 KB)
Ltaeif, H., J. Kurzak, and J. Dongarra, “Parallel Band Two-Sided Matrix Bidiagonalization for Multicore Architectures,” IEEE Transactions on Parallel and Distributed Systems, pp. 417-423, April 2010.  (208.16 KB)
Ltaeif, H., J. Kurzak, and J. Dongarra, “Parallel Band Two-Sided Matrix Bidiagonalization for Multicore Architectures,” IEEE Transactions on Parallel and Distributed Systems (to appear), May 2009.  (208.16 KB)
Kurzak, J., M. Gates, A. YarKhan, I. Yamazaki, P. Wu, P. Luszczek, J. Finney, and J. Dongarra, “Parallel BLAS Performance Report,” SLATE Working Notes, no. 05, ICL-UT-18-01: University of Tennessee, April 2018.  (4.39 MB)
Ltaeif, H., J. Kurzak, and J. Dongarra, “Parallel Block Hessenberg Reduction using Algorithms-By-Tiles for Multicore Architectures Revisited,” University of Tennessee Computer Science Technical Report, UT-CS-08-624 (also LAPACK Working Note 208), August 2008.  (420.31 KB)
Buttari, A., J. Dongarra, J. Kurzak, and J. Langou, “Parallel Dense Linear Algebra Software in the Multicore Era,” in Cyberinfrastructure Technologies and Applications: Nova Science Publishers, Inc., pp. 9-24, 00 2009.
Henry, G., D. Watkins, and J. Dongarra, “A Parallel Implementation of the Nonsymmetric QR Algorithm for Disitributed Memory Architectures,” SIAM Journal on Scientific Computing, vol. 16, no. 2, pp. 284-311, October 2002.  (224.7 KB)
Henry, G., D. Watkins, and J. Dongarra, “A Parallel Implementation of the Nonsymmetric QR Algorithm for Distributed Memory Architectures,” SIAM Journal on Scientific Computing, vol. 24, no. 1, pp. 284-311, January 2003.  (224.7 KB)
Kurzak, J., M. Gates, A. YarKhan, I. Yamazaki, P. Luszczek, J. Finney, and J. Dongarra, “Parallel Norms Performance Report,” SLATE Working Notes, no. 06, ICL-UT-18-06: Innovative Computing Laboratory, University of Tennessee, June 2018.  (1.13 MB)
Wyrzykowski, R., E. Deelman, J. Dongarra, and K. Karczewski, “Parallel Processing and Applied Mathematics: 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part II,” Lecture Notes in Computer Science, no. 12044: Springer International Publishing, pp. 503, March 2020.
Wyrzykowski, R., E. Deelman, J. Dongarra, and K. Karczewski, “Parallel Processing and Applied Mathematics: 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part I,” Lecture Notes in Computer Science, 1, no. 12043: Springer International Publishing, pp. 581, March 2020.
“Parallel Processing and Applied Mathematics, 9th International Conference, PPAM 2011,” Lecture Notes in Computer Science, vol. 7203, Torun, Poland, 00 2012.
Abalenkovs, M., A. Abdelfattah, J. Dongarra, M. Gates, A. Haidar, J. Kurzak, P. Luszczek, S. Tomov, I. Yamazaki, and A. YarKhan, “Parallel Programming Models for Dense Linear Algebra on Heterogeneous Systems,” Supercomputing Frontiers and Innovations, vol. 2, no. 4, October 2015.  (3.68 MB)
Haidar, A., H. Ltaeif, and J. Dongarra, “Parallel Reduction to Condensed Forms for Symmetric Eigenvalue Problems using Aggregated Fine-Grained and Memory-Aware Kernels,” Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC11), Seattle, WA, November 2011.  (636.01 KB)
Haidar, A., H. Ltaeif, and J. Dongarra, “Parallel Reduction to Condensed Forms for Symmetric Eigenvalue Problems using Aggregated Fine-Grained and Memory-Aware Kernels,” University of Tennessee Computer Science Technical Report, UT-CS-11-677, (also Lawn254), August 2011.  (636.01 KB)
Jia, Y., G. Bosilca, P. Luszczek, and J. Dongarra, “Parallel Reduction to Hessenberg Form with Algorithm-Based Fault Tolerance,” International Conference for High Performance Computing, Networking, Storage and Analysis, IEEE-SC 2013, Denver, CO, November 2013.  (147.09 KB)
Buttari, A., J. Langou, J. Kurzak, and J. Dongarra, “Parallel Tiled QR Factorization for Multicore Architectures,” University of Tennessee Computer Science Dept. Technical Report, UT-CS-07-598 (also LAPACK Working Note 190), 00 2007.  (277.92 KB)
Buttari, A., J. Langou, J. Kurzak, and J. Dongarra, “Parallel Tiled QR Factorization for Multicore Architectures,” Concurrency and Computation: Practice and Experience, vol. 20, pp. 1573-1590, January 2008.  (277.92 KB)
Baboulin, M., D. Becker, and J. Dongarra, “A parallel tiled solver for dense symmetric indefinite systems on multicore architectures,” University of Tennessee Computer Science Technical Report, no. ICL-UT-11-07, October 2011.  (544.2 KB)
Baboulin, M., D. Becker, and J. Dongarra, “A Parallel Tiled Solver for Symmetric Indefinite Systems On Multicore Architectures,” IPDPS 2012, Shanghai, China, May 2012.  (544.09 KB)

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