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A
Abdelfattah, A., H. Anzt, E. Boman, E. Carson, T. Cojean, J. Dongarra, M. Gates, T. Gruetzmacher, N. J. Higham, S. Li, et al., “A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic,” SLATE Working Notes, no. 15, ICL-UT-20-08: University of Tennessee, July 2020.  (3.98 MB)
Abdelfattah, A., M. Baboulin, V. Dobrev, J. Dongarra, A. Haidar, I. Karlin, T. Kolev, I. Masliah, and S. Tomov, “Small Tensor Operations on Advanced Architectures for High-Order Applications,” University of Tennessee Computer Science Technical Report, no. UT-EECS-17-749: Innovative Computing Laboratory, University of Tennessee, April 2017.  (1.09 MB)
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., 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)
Abdelfattah, A., H. Anzt, E. G. Boman, E. Carson, T. Cojean, J. Dongarra, A. Fox, M. Gates, N. J. Higham, X. S. Li, et al., “A survey of numerical linear algebra methods utilizing mixed-precision arithmetic,” The International Journal of High Performance Computing Applications, vol. 35, no. 4, pp. 344–369, 2021.
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.
Aguilera, G., P. J. Teller, M. Taufer, and F. Wolf, “A Systematic Multi-step Methodology for Performance Analysis of Communication Traces of Distributed Applications based on Hierarchical Clustering,” Proc. of the 5th International Workshop on Performance Modeling, Evaluation, and Organization of Parallel and Distributed Systems (PMEO-PDS 2006), no. ICL-UT-05-06, Rhodes Island, Greece, IEEE Computer Society, April 2006.  (1.02 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)
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)
Aliaga, J. I., H. Anzt, E. S. Quintana-Orti, and A. E. Thomas, “Sparse matrix-vector and matrix-multivector products for the truncated SVD on graphics processors,” Concurrency and Computation: Practice and Experience, August 2023.
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)
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. 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, “Scalable Fault Tolerant Protocol for Parallel Runtime Environments,” 2006 Euro PVM/MPI, no. ICL-UT-06-12, Bonn, Germany, 00 2006.  (149.07 KB)
Anzt, H., I. Yamazaki, M. Hoemmen, E. Boman, and J. Dongarra, “Solver Interface & Performance on Cori,” Innovative Computing Laboratory Technical Report, no. ICL-UT-18-05: University of Tennessee, June 2018.  (188.05 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)
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)
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)
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)
Aupy, G., A. Benoit, H. Casanova, and Y. Robert, “Scheduling Computational Workflows on Failure-prone Platforms,” International Journal of Networking and Computing, vol. 6, no. 1, pp. 2-26, 2016.  (503.81 KB)
Aupy, G., and Y. Robert, “Scheduling for Fault-Tolerance: An Introduction,” Topics in Parallel and Distributed Computing: Springer International Publishing, pp. 143–170, 2018.
Aupy, G., and Y. Robert, “Scheduling for fault-tolerance: an introduction,” Innovative Computing Laboratory Technical Report, no. ICL-UT-15-02: University of Tennessee, January 2015.  (416.37 KB)
Ayala, A., S. Tomov, M. Stoyanov, and J. Dongarra, “Scalability Issues in FFT Computation,” International Conference on Parallel Computing Technologies: Springer, pp. 279–287, 2021.
B
Baboulin, M., J. Dongarra, and S. Tomov, “Some Issues in Dense Linear Algebra for Multicore and Special Purpose Architectures,” University of Tennessee Computer Science Technical Report, UT-CS-08-615 (also LAPACK Working Note 200), January 2008.  (289.93 KB)
Baboulin, M., J. Dongarra, A. Remy, S. Tomov, and I. Yamazaki, “Solving Dense Symmetric Indefinite Systems using GPUs,” Concurrency and Computation: Practice and Experience, vol. 29, issue 9, March 2017.  (1.94 MB)
Baboulin, M., S. Tomov, and J. Dongarra, “Some Issues in Dense Linear Algebra for Multicore and Special Purpose Architectures,” PARA 2008, 9th International Workshop on State-of-the-Art in Scientific and Parallel Computing, Trondheim Norway, May 2008.
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)
Bernholc, J., M. Hodak, W. Lu, S. Moore, and S. Tomov, “Scalability Study of a Quantum Simulation Code,” PARA 2010, Reykjavik, Iceland, June 2010.
Bernholdt, D. E., S. Boehm, G. Bosilca, M G. Venkata, R. E. Grant, T. Naughton, H. P. Pritchard, M. Schulz, and G. R. Vallee, “A Survey of MPI Usage in the US Exascale Computing Project,” Concurrency Computation: Practice and Experience, September 2018.  (359.54 KB)
Bosilca, G., A. Bouteiller, A. Danalis, T. Herault, J. Kurzak, P. Luszczek, S. Tomov, and J. Dongarra, “Scalable Dense Linear Algebra on Heterogeneous Hardware,” HPC: Transition Towards Exascale Processing, in the series Advances in Parallel Computing, 2013.  (760.32 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, A.. Rezmerita, and J. Dongarra, “On Scalability for MPI Runtime Systems,” University of Tennessee Computer Science Technical Report, no. ICL-UT-11-05, Knoxville, TN, May 2011.  (898.76 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)
Bosilca, G., T. Herault, A.. Rezmerita, and J. Dongarra, “On Scalability for MPI Runtime Systems,” International Conference on Cluster Computing (CLUSTER), Austin, TX, USA, IEEEE, pp. 187-195, September 2011.  (898.76 KB)
Boulet, P., J. Dongarra, Y. Robert, and F. Vivien, “Static Tiling for Heterogeneous Computing Platforms,” Parallel Computing, vol. 25, no. 5, pp. 547-568, January 1999.  (301.17 KB)
Bouteiller, A., G. Bosilca, and M G. Venkata, “Surviving Errors with OpenSHMEM,” OpenSHMEM and Related Technologies. Enhancing OpenSHMEM for Hybrid Environments, Baltimore, MD, USA, Springer International Publishing, pp. 66–81, 2016.
Brady, T., A. Lastovetsky, K. Seymour, M. Guidolin, and J. Dongarra, “SmartGridRPC: The new RPC model for high performance Grid Computing and Its Implementation in SmartGridSolve,” Concurrency and Computation: Practice and Experience (to appear), January 2010.  (1.08 MB)
Browne, S., J. Dongarra, N. Garner, K. London, and P. Mucci, “A Scalable Cross-Platform Infrastructure for Application Performance Tuning Using Hardware Counters,” Proceedings of SuperComputing 2000 (SC'00), Dallas, TX, November 2000.  (178.15 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)
C
Canon, L-C., A K W. Chang, Y. Robert, and F. Vivien, “Scheduling Independent Stochastic Tasks under Deadline and Budget Constraints,” International Journal of High Performance Computing Applications, vol. 34, issue 2, pp. 246-264, June 2019.  (427.92 KB)
Casanova, H., M H. Kim, J. Plank, and J. Dongarra, “Stochastic Performance Prediction for Iterative Algorithms in Distributed Environments,” Journal of Parallel and Distributed Computing, vol. 98, no. 1, pp. 68-91, January 1999.  (257.5 KB)
Casanova, H., M. G. Thomason, and J. Dongarra, “Stochastic Performance Prediction for Iterative Algorithms in Distributed Environments,” Journal of Parallel and Distributed Computing, vol. 98, no. 1, pp. 68-91, October 2002.  (266.82 KB)
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)
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)
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)
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)
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)
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.
D
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)
Danalis, A., H. Jagode, and J. Dongarra, Software-Defined Events through PAPI for In-Depth Analysis of Application Performance , Basel, Switzerland, 5th Platform for Advanced Scientific Computing Conference (PASC18), July 2018.

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