Publications

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A
Haidar, A., H. Ltaeif, A. YarKhan, and J. Dongarra, Analysis of Dynamically Scheduled Tile Algorithms for Dense Linear Algebra on Multicore Architectures,” Submitted to Concurrency and Computations: Practice and Experience, November 2010.  (1.65 MB)
Haidar, A., H. Ltaeif, A. YarKhan, and J. Dongarra, Analysis of Dynamically Scheduled Tile Algorithms for Dense Linear Algebra on Multicore Architectures,” University of Tennessee Computer Science Technical Report, UT-CS-11-666, (also Lawn 243), 00-2011.  (1.65 MB)
Luszczek, P., and J. Dongarra, Analysis of Various Scalar, Vector, and Parallel Implementations of RandomAccess,” Innovative Computing Laboratory (ICL) Technical Report, no. ICL-UT-10-03, June 2010.  (226.9 KB)
Song, F., S. Moore, and J. Dongarra, Analytical Modeling and Optimization for Affinity Based Thread Scheduling on Multicore Systems,” IEEE Cluster 2009, New Orleans, August 2009.  (395.53 KB)
Song, F., S. Moore, and J. Dongarra, Analytical Modeling for Affinity-Based Thread Scheduling on Multicore Platforms,” University of Tennessee Computer Science Technical Report, UT-CS-08-626, January 2008.  (650.75 KB)
Yamazaki, I., A. Abdelfattah, A. Ida, S. Ohshima, S. Tomov, R. Yokota, and J. Dongarra, Analyzing Performance of BiCGStab with Hierarchical Matrix on GPU Clusters,” IEEE International Parallel and Distributed Processing Symposium (IPDPS), Vancouver, BC, Canada, IEEE, May 2018.  (1.37 MB)
Luszczek, P., and J. Dongarra, Anatomy of a Globally Recursive Embedded LINPACK Benchmark,” 2012 IEEE High Performance Extreme Computing Conference, Waltham, MA, pp. 1-6, September 2012.  (204.74 KB)
Eidson, T., J. Dongarra, and V. Eijkhout, Applying Aspect-Oriented Programming Concepts to a Component-based Programming Model,” IPDPS 2003, Workshop on NSF-Next Generation Software, Nice, France, March 2003.  (66.99 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)
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)
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)
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)
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.
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)
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)
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)
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)
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)
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)
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, June 2004.  (212.77 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)
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)
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)
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)
Vadhiyar, S., G. Fagg, and J. Dongarra, Automatically Tuned Collective Communications,” Proceedings of SuperComputing 2000 (SC'2000), Dallas, TX, November 2000.  (232.69 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.
Mucci, P., J. Dongarra, R. Kufrin, S. Moore, F. Song, and F. Wolf, Automating the Large-Scale Collection and Analysis of Performance,” In Proceedings of the 5th LCI International Conference on Linux Clusters: The HPC Revolution, Austin, Texas, May 2004.  (511.6 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.
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)
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.
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.
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)
B
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)
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)
Anzt, H., J. Dongarra, G. Flegar, and E. S. Quintana-Ortí, 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)
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.
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)
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)
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)
Dongarra, J., H. Meuer, H. D. Simon, and E. Strohmaier, Biannual Top-500 Computer Lists Track Changing Environments for Scientific Computing,” SIAM News, vol. 34, no. 9, October 2002.  (2.62 MB)
Faverge, M., J. Langou, Y. Robert, and J. Dongarra, Bidiagonalization and R-Bidiagonalization: Parallel Tiled Algorithms, Critical Paths and Distributed-Memory Implementation,” IEEE International Parallel and Distributed Processing Symposium (IPDPS), Orlando, FL, IEEE, May 2017.  (328.15 KB)
Asch, M., T. Moore, R. M. Badia, M. Beck, P. Beckman, T. Bidot, F. Bodin, F. Cappello, A. Choudhary, B. R. de Supinski, et al., Big Data and Extreme-Scale Computing: Pathways to Convergence - Toward a Shaping Strategy for a Future Software and Data Ecosystem for Scientific Inquiry,” The International Journal of High Performance Computing Applications, vol. 32, issue 4, pp. 435–479, July 2018.  (1.29 MB)
Angskun, T., G. Bosilca, and J. Dongarra, Binomial Graph: A Scalable and Fault- Tolerant Logical Network Topology,” Proceedings of The Fifth International Symposium on Parallel and Distributed Processing and Applications (ISPA07), Niagara Falls, Canada, Springer, August 2007.  (480.47 KB)
Dongarra, J., E. Jeannot, E. Saule, and Z. Shi, Bi-objective Scheduling Algorithms for Optimizing Makespan and Reliability on Heterogeneous Systems,” 19th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) (submitted), San Diego, CA, June 2007.  (223.82 KB)
YarKhan, A., and J. Dongarra, Biological Sequence Alignment on the Computational Grid Using the GrADS Framework,” Future Generation Computing Systems, vol. 21, no. 6: Elsevier, pp. 980-986, June 2005.  (147.29 KB)
Danalis, A., P. Luszczek, G. Marin, J. Vetter, and J. Dongarra, BlackjackBench: Hardware Characterization with Portable Micro-Benchmarks and Automatic Statistical Analysis of Results,” IEEE International Parallel and Distributed Processing Symposium (submitted), Anchorage, AK, May 2011.
Danalis, A., P. Luszczek, G. Marin, J. Vetter, and J. Dongarra, BlackjackBench: Portable Hardware Characterization with Automated Results Analysis,” The Computer Journal, March 2013.  (408.45 KB)
Nath, R., S. Tomov, and J. Dongarra, Blas for GPUs,” Scientific Computing with Multicore and Accelerators, Boca Raton, Florida, CRC Press, 2010.  (1.05 MB)

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