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B
BDEC Pathways to Convergence: Toward a Shaping Strategy for a Future Software and Data Ecosystem for Scientific Inquiry,” Innovative Computing Laboratory Technical Report, no. ICL-UT-17-08: University of Tennessee, November 2017.
Kashi, A., P. Nayak, D. Kulkarni, A. Scheinberg, P. Lin, and H. Anzt, Batched sparse iterative solvers on GPU for the collision operator for fusion plasma simulations,” 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Lyon, France, IEEE, July 2022.  (1.26 MB)
Luszczek, P., A. Abdelfattah, H. Anzt, A. Suzuki, and S. Tomov, Batched sparse and mixed-precision linear algebra interface for efficient use of GPU hardware accelerators in scientific applications,” Future Generation Computer Systems, vol. 160, pp. 359 - 374, November 2024.
Abdelfattah, A., A. Haidar, S. Tomov, and J. Dongarra, Batched One-Sided Factorizations of Tiny Matrices Using GPUs: Challenges and Countermeasures,” Journal of Computational Science, vol. 26, pp. 226–236, May 2018.  (3.73 MB)
Haidar, A., T. Dong, P. Luszczek, S. Tomov, and J. Dongarra, Batched matrix computations on hardware accelerators based on GPUs,” International Journal of High Performance Computing Applications, February 2015.  (2.16 MB)
Haidar, A., A. Abdelfattah, S. Tomov, and J. Dongarra, Batched Matrix Computations on Hardware Accelerators Based on GPUs,” 2015 SIAM Conference on Applied Linear Algebra (SIAM LA), Atlanta, GA, SIAM, October 2015.  (9.36 MB)
Haidar, A., P. Luszczek, S. Tomov, and J. Dongarra, Batched Matrix Computations on Hardware Accelerators,” EuroMPI/Asia 2015 Workshop, Bordeaux, France, September 2015.  (589.05 KB)
Anzt, H., E. Chow, T. Huckle, and J. Dongarra, Batched Generation of Incomplete Sparse Approximate Inverses on GPUs,” Proceedings of the 7th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, pp. 49–56, November 2016.
Anzt, H., J. Dongarra, G. Flegar, and E. S. Quintana-Orti, Batched Gauss-Jordan Elimination for Block-Jacobi Preconditioner Generation on GPUs,” Proceedings of the 8th International Workshop on Programming Models and Applications for Multicores and Manycores, New York, NY, USA, ACM, pp. 1–10, February 2017.  (552.62 KB)
Dongarra, J., I. Duff, M. Gates, A. Haidar, S. Hammarling, N. J. Higham, J. Hogg, P. Valero Lara, P. Luszczek, M. Zounon, et al., Batched BLAS (Basic Linear Algebra Subprograms) 2018 Specification , July 2018.  (483.05 KB)
Abdelfattah, A., S. Tomov, and J. Dongarra, Batch QR Factorization on GPUs: Design, Optimization, and Tuning,” Lecture Notes in Computer Science, vol. 13350, Cham, Springer International Publishing, June 2022.
Basic Linear Algebra Subprograms Technical (BLAST) Forum Standard , January 2001.
Basic Linear Algebra Subprograms Technical (BLAST) Forum Standard,” International Journal of High Performance Computing Applications: Special Issue - Part I & II, vol. 16, no. 1-2, pp. 1-199, January 2002.
Blackford, S., J. Demmel, J. Dongarra, I. Duff, S. Hammarling, G. Henry, M. Heroux, L. Kaufman, A. Lumsdaine, A. Petitet, et al., Basic Linear Algebra Subprograms (BLAS),” (an update), submitted to ACM TOMS, February 2001.  (228.33 KB)
A
Luszczek, P., J. Kurzak, I. Yamazaki, D. Keffer, V. Maroulas, and J. Dongarra, Autotuning Techniques for Performance-Portable Point Set Registration in 3D,” Supercomputing Frontiers and Innovations, vol. 5, no. 4, December 2018.  (720.15 KB)
Dongarra, J., M. Gates, J. Kurzak, P. Luszczek, and Y. Tsai, Autotuning Numerical Dense Linear Algebra for Batched Computation With GPU Hardware Accelerators,” Proceedings of the IEEE, vol. 106, issue 11, pp. 2040–2055, November 2018.  (2.53 MB)
Balaprakash, P., J. Dongarra, T. Gamblin, M. Hall, J. Hollingsworth, B. Norris, and R. Vuduc, Autotuning in High-Performance Computing Applications,” Proceedings of the IEEE, vol. 106, issue 11, pp. 2068–2083, November 2018.  (2.5 MB)
Kurzak, J., S. Tomov, and J. Dongarra, Autotuning GEMMs for Fermi,” University of Tennessee Computer Science Technical Report, UT-CS-11-671, (also Lawn 245), April 2011.  (397.45 KB)
Kurzak, J., S. Tomov, and J. Dongarra, Autotuning GEMM Kernels for the Fermi GPU,” IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 11, November 2012.  (742.5 KB)
Nath, R., S. Tomov, E. Agullo, and J. Dongarra, Autotuning Dense Linear Algebra Libraries on GPUs , Basel, Switzerland, Sixth International Workshop on Parallel Matrix Algorithms and Applications (PMAA 2010), June 2010.  (579.44 KB)
Gates, M., J. Kurzak, P. Luszczek, Y. Pei, and J. Dongarra, Autotuning Batch Cholesky Factorization in CUDA with Interleaved Layout of Matrices,” Parallel and Distributed Processing Symposium Workshops (IPDPSW), Orlando, FL, IEEE, June 2017.
You, H., B. Rekapalli, Q. Liu, and S. Moore, Autotuned Parallel I/O for Highly Scalable Biosequence Analysis,” TeraGrid'11, Salt Lake City, Utah, July 2011.  (275.34 KB)
Mucci, P., J. Dongarra, R. Kufrin, S. Moore, F. Song, and F. Wolf, Automating the Large-Scale Collection and Analysis of Performance,” 5th LCI International Conference on Linux Clusters: The HPC Revolution, Austin, Texas, May 2004.  (511.6 KB)
Whaley, C., and J. Dongarra, Automatically Tuned Linear Algebra Software,” 1998 ACM/IEEE conference on Supercomputing (SC '98), Orlando, FL, IEEE Computer Society, November 1998.
Vadhiyar, S., G. Fagg, and J. Dongarra, Automatically Tuned Collective Communications,” Proceedings of SuperComputing 2000 (SC'2000), Dallas, TX, November 2000.  (232.69 KB)
Seymour, K., and J. Dongarra, Automatic Translation of Fortran to JVM Bytecode,” Joint ACM Java Grande - ISCOPE 2001 Conference (submitted), Stanford University, California, June 2001.  (185.8 KB)
Seymour, K., and J. Dongarra, Automatic Translation of Fortran to JVM Bytecode,” Concurrency and Computation: Practice and Experience, vol. 15, no. 3-5, pp. 202-207, 00 2003.  (185.8 KB)
Wolf, F., and B. Mohr, Automatic performance analysis of hybrid MPI/OpenMP applications,” Journal of Systems Architecture, Special Issue 'Evolutions in parallel distributed and network-based processing', vol. 49(10-11): Elsevier, pp. 421-439, November 2003.
Cuenca, J., D. Giminez, J. González, J. Dongarra, and K. Roche, Automatic Optimisation of Parallel Linear Algebra Routines in Systems with Variable Load,” EuroPar 2002, Paderborn, Germany, August 2002.  (92.59 KB)
Bhatia, N., F. Song, F. Wolf, J. Dongarra, B. Mohr, and S. Moore, Automatic Experimental Analysis of Communication Patterns in Virtual Topologies,” In Proceedings of the International Conference on Parallel Processing, Oslo, Norway, IEEE Computer Society, June 2005.  (227.13 KB)
Eijkhout, V., Automatic Determination of Matrix-Blocks,” Lapack Working Note 151, University of Tennessee Computer Science Technical Report, no. UT-CS-01-458, January 2001.  (1.15 MB)
Yi, Q., K. Kennedy, H. You, K. Seymour, and J. Dongarra, Automatic Blocking of QR and LU Factorizations for Locality,” 2nd ACM SIGPLAN Workshop on Memory System Performance (MSP 2004), Washington, DC, ACM, June 2004.  (212.77 KB)
Wolf, F., B. Mohr, J. Dongarra, and S. Moore, Automatic analysis of inefficiency patterns in parallel applications,” Concurrency and Computation: Practice and Experience, Special issue "Automatic Performance Analysis" (submitted), 00 2005.  (233.31 KB)
Wolf, F., B. Mohr, J. Dongarra, and S. Moore, Automatic Analysis of Inefficiency Patterns in Parallel Applications,” Concurrency and Computation: Practice and Experience, vol. 19, no. 11, pp. 1481-1496, August 2007.  (233.31 KB)
You, H., K. Seymour, J. Dongarra, and S. Moore, Automated Empirical Tuning of a Multiresolution Analysis Kernel,” ICL Technical Report, no. ICL-UT-07-01, pp. 10, January 2007.  (120.7 KB)
Whaley, C., A. Petitet, and J. Dongarra, Automated Empirical Optimizations of Software and the ATLAS Project (LAPACK Working Note 147),” University of Tennessee Computer Science Department Technical Report,, no. UT-CS-00-448, September 2000.  (373.69 KB)
Whaley, C., A. Petitet, and J. Dongarra, Automated Empirical Optimization of Software and the ATLAS Project,” Parallel Computing, vol. 27, no. 1-2, pp. 3-25, January 2001.  (370.71 KB)
Seymour, K., H. You, and J. Dongarra, ATLAS on the BlueGene/L – Preliminary Results,” ICL Technical Report, no. ICL-UT-06-10, January 2006.  (46.19 KB)
Berry, M., and J. Dongarra, Atlanta Organizers Put Mathematics to Work For the Math Sciences Community,” SIAM News, vol. 32, no. 6, January 1999.  (45.98 KB)
Lopez, F., E. Chow, S. Tomov, and J. Dongarra, Asynchronous SGD for DNN Training on Shared-Memory Parallel Architectures,” Innovative Computing Laboratory Technical Report, no. ICL-UT-20-04: University of Tennessee, Knoxville, March 2020.  (188.51 KB)
Lopez, F., E. Chow, S. Tomov, and J. Dongarra, Asynchronous SGD for DNN Training on Shared-Memory Parallel Architectures,” Workshop on Scalable Deep Learning over Parallel And Distributed Infrastructures (ScaDL 2020), May 2020.  (188.51 KB)
Losada, N., A. Bouteiller, and G. Bosilca, Asynchronous Receiver-Driven Replay for Local Rollback of MPI Applications,” Fault Tolerance for HPC at eXtreme Scale (FTXS) Workshop at The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'19), November 2019.  (440.7 KB)
Chow, E., H. Anzt, and J. Dongarra, Asynchronous Iterative Algorithm for Computing Incomplete Factorizations on GPUs,” International Supercomputing Conference (ISC 2015), Frankfurt, Germany, July 2015.
Dongarra, J., N. Emad, and S. Abolfazl Shahzadeh-Fazeli, An Asynchronous Algorithm on NetSolve Global Computing System,” Future Generation Computer Systems, vol. 22, issue 3, pp. 279-290, February 2006.  (568.92 KB)
Emad, N., S. A. S. Fazeli, and J. Dongarra, An Asynchronous Algorithm on NetSolve Global Computing System,” PRiSM - Laboratoire de recherche en informatique, Université de Versailles St-Quentin Technical Report, March 2004.  (377.33 KB)
Aupy, G., Y. Robert, and F. Vivien, Assuming failure independence: are we right to be wrong?,” The 3rd International Workshop on Fault Tolerant Systems (FTS), Honolulu, Hawaii, IEEE, September 2017.  (597.11 KB)
Bosilca, G., A. Bouteiller, T. Herault, Y. Robert, and J. Dongarra, Assessing the Impact of ABFT and Checkpoint Composite Strategies,” 16th Workshop on Advances in Parallel and Distributed Computational Models, IPDPS 2014, Phoenix, AZ, IEEE, May 2014.  (1.02 MB)
Bosilca, G., A. Bouteiller, T. Herault, Y. Robert, and J. Dongarra, Assessing the impact of ABFT and Checkpoint composite strategies,” University of Tennessee Computer Science Technical Report, no. ICL-UT-13-03, 2013.  (968.47 KB)
Herrmann, J., G. Bosilca, T. Herault, L. Marchal, Y. Robert, and J. Dongarra, Assessing the Cost of Redistribution followed by a Computational Kernel: Complexity and Performance Results,” Parallel Computing, vol. 52, pp. 22-41, February 2016.  (2.06 MB)
Benoit, A., A. Cavelan, Y. Robert, and H. Sun, Assessing General-purpose Algorithms to Cope with Fail-stop and Silent Errors,” ACM Transactions on Parallel Computing, August 2016.  (573.71 KB)

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