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Song, F., S. Moore, and J. Dongarra, “A Scalable Non-blocking Multicast Scheme for Distributed DAG Scheduling,” The International Conference on Computational Science 2009 (ICCS 2009), vol. 5544, Baton Rouge, LA, pp. 195-204, May 2009.  (228.45 KB)
Bosilca, G., T. Herault, P. Lemariner, J. Dongarra, and A. Rezmerita, “Scalable Runtime for MPI: Efficiently Building the Communication Infrastructure,” Proceedings of Recent Advances in the Message Passing Interface - 18th European MPI Users' Group Meeting, EuroMPI 2011, vol. 6960, Santorini, Greece, Springer, pp. 342-344, September 2011.  (115.75 KB)
Bosilca, G., T. Herault, P. Lemariner, J. Dongarra, and A. Rezmerita, “Scalable Runtime for MPI: Efficiently Building the Communication Infrastructure,” Proceedings of Recent Advances in the Message Passing Interface - 18th European MPI Users' Group Meeting, EuroMPI 2011, vol. 6960, Santorini, Greece, Springer, pp. 342-344, September 2011.  (115.75 KB)
Song, F., H. Ltaeif, B. Hadri, and J. Dongarra, “Scalable Tile Communication-Avoiding QR Factorization on Multicore Cluster Systems,” SC'10, New Orleans, LA, ACM SIGARCH/ IEEE Computer Society, November 2010.  (3.42 MB)
Song, F., H. Ltaeif, B. Hadri, and J. Dongarra, “Scalable Tile Communication-Avoiding QR Factorization on Multicore Cluster Systems,” University of Tennessee Computer Science Technical Report, vol. –10-653, April 2010.  (3.42 MB)
Beck, M., J. Dongarra, V. Eijkhout, M. Langston, T. Moore, and J. Plank, “Scalable, Trustworthy Network Computing Using Untrusted Intermediaries: A Position Paper,” DOE/NSF Workshop on New Directions in Cyber-Security in Large-Scale Networks: Development Obstacles, National Conference Center - Landsdowne, Virginia, March 2003.  (54.62 KB)
Choi, J., J. Demmel, I. Dhillon, J. Dongarra, S. Ostrouchov, A. Petitet, K. Stanley, D. Walker, and C. Whaley, “ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers - Design Issues and Performance,” Computer Physics Communications, vol. 97, issue 1-2, pp. 1-15, August 1996. DOI: 10.1016/0010-4655(96)00017-3
Luszczek, P., J. Kurzak, I. Yamazaki, D. Keffer, and J. Dongarra, “Scaling Point Set Registration in 3D Across Thread Counts on Multicore and Hardware Accelerator Platforms through Autotuning for Large Scale Analysis of Scientific Point Clouds,” IEEE International Workshop on Benchmarking, Performance Tuning and Optimization for Big Data Applications (BPOD 2017), Boston, MA, IEEE, December 2017. DOI: 10.1109/BigData.2017.8258258  (6.71 MB)
Song, F., and J. Dongarra, “Scaling Up Matrix Computations on Shared-Memory Manycore Systems with 1000 CPU Cores,” International conference on Supercomputing, Munich, Germany, ACM, pp. 333-342, June 2014. DOI: 10.1145/2597652.2597670  (2.9 MB)
Agullo, E., C. Augonnet, J. Dongarra, H. Ltaeif, R. Namyst, R. Nath, J. Roman, S. Thibault, and S. Tomov, Scheduling Cholesky Factorization on Multicore Architectures with GPU Accelerators , Knoxville, TN, 2010 Symposium on Application Accelerators in High-Performance Computing (SAAHPC'10), Poster, July 2010.  (3.86 MB)
Kurzak, J., H. Ltaeif, J. Dongarra, and R. M. Badia, “Scheduling Dense Linear Algebra Operations on Multicore Processors,” Concurrency and Computation: Practice and Experience, vol. 22, no. 1, pp. 15-44, January 2010.  (1.23 MB)
Dail, H., O. Sievert, F. Berman, H. Casanova, A. YarKhan, S. Vadhiyar, J. Dongarra, C. Liu, L. Yang, D. Angulo, et al., “Scheduling in the Grid Application Development Software Project,” Resource Management in the Grid: Kluwer Publishers, March 2003.  (375.92 KB)
Kurzak, J., H. Ltaeif, J. Dongarra, and R. M. Badia, “Scheduling Linear Algebra Operations on Multicore Processors,” Concurrency Practice and Experience (to appear), 00 2009.  (716.18 KB)
Kurzak, J., H. Ltaeif, J. Dongarra, and R. M. Badia, “Scheduling Linear Algebra Operations on Multicore Processors,” University of Tennessee Computer Science Department Technical Report, UT-CS-09-636 (Also LAPACK Working Note 213), 00 2009.  (716.18 KB)
Ltaeif, H., J. Kurzak, J. Dongarra, and R. M. Badia, “Scheduling Two-sided Transformations using Tile Algorithms on Multicore Architectures,” Journal of Scientific Computing, vol. 18, no. 1, pp. 33-50, 00 2010.  (334.5 KB)
Buttari, A., P. Luszczek, J. Kurzak, J. Dongarra, and G. Bosilca, “SCOP3: A Rough Guide to Scientific Computing On the PlayStation 3,” University of Tennessee Computer Science Dept. Technical Report, UT-CS-07-595, 00 2007.  (1.74 MB)
Arnold, D., S. Blackford, J. Dongarra, V. Eijkhout, and T. Xu, “Seamless Access to Adaptive Solver Algorithms,” Proceedings of 16th IMACS World Congress 2000 on Scientific Computing, Applications Mathematics and Simulation, Lausanne, Switzerland, August 2000.  (151.42 KB)
Luszczek, P., M. Gates, J. Kurzak, A. Danalis, and J. Dongarra, “Search Space Generation and Pruning System for Autotuners,” 30th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Chicago, IL, IEEE, May 2016.  (555.44 KB)
Arnold, D., S. Browne, J. Dongarra, G. Fagg, and K. Moore, “Secure Remote Access to Numerical Software and Computation Hardware,” University of Tennessee Computer Science Technical Report, UT-CS-00-446, July 2000.  (402.31 KB)
Arnold, D., S. Browne, J. Dongarra, G. Fagg, and K. Moore, “Secure Remote Access to Numerical Software and Computational Hardware,” Proceedings of the DoD HPC Users Group Conference (HPCUG) 2000, Albuquerque, NM, June 2000.  (172.6 KB)
Vadhiyar, S., and J. Dongarra, “Self Adaptability in Grid Computing,” Concurrency: Practice and Experience (submitted), March 2003.  (258.89 KB)
Chen, Z., M. Yang, G. Francia, III, and J. Dongarra, “Self Adapting Application Level Fault Tolerance for Parallel and Distributed Computing,” Proceedings of Workshop on Self Adapting Application Level Fault Tolerance for Parallel and Distributed Computing at IPDPS, pp. 1-8, March 2007.  (162.47 KB)
Demmel, J., J. Dongarra, V. Eijkhout, E. Fuentes, A. Petitet, R. Vuduc, C. Whaley, and K. Yelick, “Self Adapting Linear Algebra Algorithms and Software,” IEEE Proceedings (to appear), 00 2004.  (587.67 KB)
Dongarra, J., and V. Eijkhout, “Self Adapting Numerical Algorithm for Next Generation Applications,” International Journal of High Performance Computing Applications, vol. 17, no. 2, pp. 125-132, January 2003.  (479.18 KB)
Bosilca, G., Z. Chen, J. Dongarra, V. Eijkhout, G. Fagg, E. Fuentes, J. Langou, P. Luszczek, J. Pjesivac–Grbovic, K. Seymour, et al., “Self Adapting Numerical Software SANS Effort,” IBM Journal of Research and Development, vol. 50, no. 2/3, pp. 223-238, January 2006.  (357.53 KB)
Chen, Z., J. Dongarra, P. Luszczek, and K. Roche, “Self Adapting Software for Numerical Linear Algebra and LAPACK for Clusters (LAPACK Working Note 160),” University of Tennessee Computer Science Technical Report, UT-CS-03-499, January 2003.  (343.44 KB)
Chen, Z., J. Dongarra, P. Luszczek, and K. Roche, “Self Adapting Software for Numerical Linear Algebra and LAPACK for Clusters,” Parallel Computing, vol. 29, no. 11-12, pp. 1723-1743, November 2003.  (343.44 KB)
Vadhiyar, S., and J. Dongarra, “Self Adaptivity in Grid Computing,” Concurrency and Computation: Practice and Experience, Special Issue: Grid Performance, vol. 17, no. 2-4, pp. 235-257, 00 2005.  (394.66 KB)
Dongarra, J., and V. Eijkhout, “Self-Adapting Numerical Software and Automatic Tuning of Heuristics,” Lecture Notes in Computer Science, vol. 2660, Melbourne, Australia, Springer Verlag, pp. 759-770, June 2003.  (45.95 KB)
Dongarra, J., and V. Eijkhout, “Self-adapting Numerical Software for Next Generation Applications (LAPACK Working Note 157),” ICL Technical Report, no. ICL-UT-02-07, 00 2002.  (475.94 KB)
Anzt, H., D. Lukarski, S. Tomov, and J. Dongarra, “Self-Adaptive Multiprecision Preconditioners on Multicore and Manycore Architectures,” VECPAR 2014, Eugene, OR, June 2014.  (430.56 KB)
Angskun, T., G. Bosilca, and J. Dongarra, “Self-Healing in Binomial Graph Networks,” 2nd International Workshop On Reliability in Decentralized Distributed Systems (RDDS 2007), Vilamoura, Algarve, Portugal, November 2007.  (322.39 KB)
Angskun, T., G. Fagg, G. Bosilca, J. Pjesivac–Grbovic, and J. Dongarra, “Self-Healing Network for Scalable Fault Tolerant Runtime Environments,” DAPSYS 2006, 6th Austrian-Hungarian Workshop on Distributed and Parallel Systems, Innsbruck, Austria, January 2006.  (162.83 KB)
Angskun, T., G. Fagg, G. Bosilca, J. Pjesivac–Grbovic, and J. Dongarra, “Self-Healing Network for Scalable Fault-Tolerant Runtime Environments,” Future Generation Computer Systems, vol. 26, no. 3, pp. 479-485, March 2010.  (1.54 MB)
Heinrich, K., M. Berry, J. Dongarra, and S. Vadhiyar, “The Semantic Conference Organizer,” Statistical Data Mining and Knowledge Discovery: CRC Press, 00 2003.  (998.12 KB)
Abdelfattah, A., T. Costa, J. Dongarra, M. Gates, A. Haidar, S. Hammarling, N. J. Higham, J. Kurzak, P. Luszczek, S. Tomov, et al., “A Set of Batched Basic Linear Algebra Subprograms,” ACM Transactions on Mathematical Software, October 2020.
Abdelfattah, A., T. Costa, J. Dongarra, M. Gates, A. Haidar, S. Hammarling, N. J. Higham, J. Kurzak, P. Luszczek, S. Tomov, et al., “A Set of Batched Basic Linear Algebra Subprograms and LAPACK Routines,” ACM Transactions on Mathematical Software (TOMS), vol. 47, no. 3, pp. 1–23, 2021. DOI: 10.1145/3431921
Hiroyasu, T., M. Miki, K. Kodama, J. Uekawa, and J. Dongarra, “A Simple Installation and Administration Tool for Large-scaled PC Cluster System,” ClusterWorld Conference and Expo, San Jose, CA, March 2003.  (275.97 KB)
Dongarra, J., M. Gates, A. Haidar, J. Kurzak, P. Luszczek, S. Tomov, and I. Yamazaki, “The Singular Value Decomposition: Anatomy of Optimizing an Algorithm for Extreme Scale,” SIAM Review, vol. 60, issue 4, pp. 808–865, November 2018. DOI: 10.1137/17M1117732  (2.5 MB)
Gates, M., J. Kurzak, A. Charara, A. YarKhan, and J. Dongarra, SLATE: Design of a Modern Distributed and Accelerated Linear Algebra Library , Denver, CO, International Conference for High Performance Computing, Networking, Storage and Analysis (SC19), November 2019.  (16.19 MB)
Gates, M., J. Kurzak, A. Charara, A. YarKhan, and J. Dongarra, “SLATE: Design of a Modern Distributed and Accelerated Linear Algebra Library,” International Conference for High Performance Computing, Networking, Storage and Analysis (SC19), Denver, CO, ACM, November 2019. DOI: 10.1145/3295500.3356223  (2.01 MB)
Charara, A., M. Gates, J. Kurzak, A. YarKhan, and J. Dongarra, “SLATE Developers' Guide,” SLATE Working Notes, no. 11, ICL-UT-19-02: Innovative Computing Laboratory, University of Tennessee, December 2019.  (1.68 MB)
Charara, A., J. Dongarra, M. Gates, J. Kurzak, and A. YarKhan, “SLATE Mixed Precision Performance Report,” Innovative Computing Laboratory Technical Report, no. ICL-UT-19-03: University of Tennessee, April 2019.  (1.04 MB)
Akbudak, K., P. Bagwell, S. Cayrols, M. Gates, D. Sukkari, A. YarKhan, and J. Dongarra, “SLATE Performance Improvements: QR and Eigenvalues,” SLATE Working Notes, no. 17, ICL-UT-21-02, April 2021.  (2 MB)
YarKhan, A., M. Al Farhan, D. Sukkari, M. Gates, and J. Dongarra, “SLATE Performance Report: Updates to Cholesky and LU Factorizations,” Innovative Computing Laboratory Technical Report, no. ICL-UT-20-14: University of Tennessee, October 2020.  (1.64 MB)
Abdelfattah, A., M. Al Farhan, C. Brown, M. Gates, D. Sukkari, A. YarKhan, and J. Dongarra, “SLATE Port to AMD and Intel Platforms,” SLATE Working Notes, no. 16, ICL-UT-21-01, April 2021.  (890.75 KB)
Gates, M., A. Charara, J. Kurzak, A. YarKhan, M. Al Farhan, D. Sukkari, and J. Dongarra, SLATE: Software for Linear Algebra Targeting Exascale (POSTER) , Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.  (546.56 KB)
Gates, M., J. Kurzak, A. YarKhan, A. Charara, J. Finney, D. Sukkari, M. Al Farhan, I. Yamazaki, P. Wu, and J. Dongarra, SLATE Tutorial , Houston, TX, 2020 ECP Annual Meeting, February 2020.  (12.14 MB)
Gates, M., A. Charara, J. Kurzak, A. YarKhan, M. Al Farhan, D. Sukkari, and J. Dongarra, “SLATE Users' Guide,” SLATE Working Notes, no. 10, ICL-UT-19-01: Innovative Computing Laboratory, University of Tennessee, July 2020.  (1.51 MB)
Kurzak, J., M. Gates, A. Charara, A. YarKhan, and J. Dongarra, “SLATE Working Note 12: Implementing Matrix Inversions,” SLATE Working Notes, no. 12, ICL-UT-19-04: Innovative Computing Laboratory, University of Tennessee, June 2019.  (1.95 MB)

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