Publications

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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)
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.
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)
Marques, O., J. Demmel, and P. B. Vasconcelos, Bidiagonal SVD Computation via an Associated Tridiagonal Eigenproblem,” LAPACK Working Note, no. LAWN 295, ICL-UT-18-02: University of Tennessee, April 2018.  (1.53 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)
Anzt, H., E. Chow, and J. Dongarra, On block-asynchronous execution on GPUs,” LAPACK Working Note, no. 291, November 2016.  (1.05 MB)
Anzt, H., S. Tomov, M. Gates, J. Dongarra, and V. Heuveline, Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems,” ICCS 2012, Omaha, NE, June 2012.  (608.95 KB)
Anzt, H., S. Tomov, M. Gates, J. Dongarra, and V. Heuveline, Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems , no. UT-CS-11-689, December 2011.  (608.95 KB)
Anzt, H., S. Tomov, J. Dongarra, and V. Heuveline, A Block-Asynchronous Relaxation Method for Graphics Processing Units,” University of Tennessee Computer Science Technical Report, no. UT-CS-11-687 / LAWN 258, November 2011.  (1.08 MB)
Anzt, H., S. Tomov, J. Dongarra, and V. Heuveline, A Block-Asynchronous Relaxation Method for Graphics Processing Units,” Journal of Parallel and Distributed Computing, vol. 73, issue 12, pp. 1613–1626, December 2013.  (1.08 MB)
Anzt, H., J. Dongarra, M. Gates, J. Kurzak, P. Luszczek, S. Tomov, and I. Yamazaki, Bringing High Performance Computing to Big Data Algorithms,” Handbook of Big Data Technologies: Springer, 2017.
Caniou, Y., E. Caron, A. Kong Win Chang, and Y. Robert, Budget-Aware Scheduling Algorithms for Scientific Workflows with Stochastic Task Weights on Heterogeneous IaaS Cloud Platforms,” 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Vancouver, BC, Canada, IEEE, May 2018.  (1.31 MB)
Fagg, G., and J. Dongarra, Building and using a Fault Tolerant MPI implementation,” International Journal of High Performance Applications and Supercomputing (to appear), 00-2004.
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Abdelfattah, A., K. Arturov, C. Cecka, J. Dongarra, C. Freitag, M. Gates, A. Haidar, J. Kurzak, P. Luszczek, S. Tomov, et al., C++ API for Batch BLAS,” SLATE Working Notes, no. 4, ICL-UT-17-12: University of Tennessee, December 2017.  (1.89 MB)
Gates, M., P. Luszczek, A. Abdelfattah, J. Kurzak, J. Dongarra, K. Arturov, C. Cecka, and C. Freitag, C++ API for BLAS and LAPACK,” SLATE Working Notes, no. 2, ICL-UT-17-03: Innovative Computing Laboratory, University of Tennessee, June 2017.  (1.12 MB)
Weaver, V. M., and J. Dongarra, Can Hardware Performance Counters Produce Expected, Deterministic Results?,” 3rd Workshop on Functionality of Hardware Performance Monitoring, Atlanta, GA, December 2010.  (392.71 KB)
Fürlinger, K., and S. Moore, Capturing and Analyzing the Execution Control Flow of OpenMP Applications,” International Journal of Parallel Programming, vol. 37, no. 3, pp. 266-276, 00-2009.
Fayad, D., J. Kurzak, P. Luszczek, P. Wu, and J. Dongarra, The Case for Directive Programming for Accelerator Autotuner Optimization,” Innovative Computing Laboratory Technical Report, no. ICL-UT-17-07: University of Tennessee, October 2017.  (341.52 KB)
Luszczek, P., J. Kurzak, and J. Dongarra, Changes in Dense Linear Algebra Kernels - Decades Long Perspective,” in Solving the Schrodinger Equation: Has everything been tried? (to appear): Imperial College Press, 00-2011.
Herault, T., Y. Robert, A. Bouteiller, D. Arnold, K. Ferreira, G. Bosilca, and J. Dongarra, Checkpointing Strategies for Shared High-Performance Computing Platforms,” International Journal of Networking and Computing, vol. 9, no. 1, pp. 28–52, 2019.
Han, L., L-C. Canon, H. Casanova, Y. Robert, and F. Vivien, Checkpointing Workflows for Fail-Stop Errors,” IEEE Transactions on Computers, vol. 67, issue 8, pp. 1105–1120, August 2018.
Han, L., L-C. Canon, H. Casanova, Y. Robert, and F. Vivien, Checkpointing Workflows for Fail-Stop Errors,” IEEE Cluster, Honolulu, Hawaii, IEEE, September 2017.  (400.64 KB)
Bland, W., P. Du, A. Bouteiller, T. Herault, G. Bosilca, and J. Dongarra, A Checkpoint-on-Failure Protocol for Algorithm-Based Recovery in Standard MPI,” 18th International European Conference on Parallel and Distributed Computing (Euro-Par 2012) (Best Paper Award), Rhodes, Greece, Springer-Verlag, August 2012.  (289.32 KB)
YarKhan, A., A. Haidar, C. Cao, P. Luszczek, S. Tomov, and J. Dongarra, Cholesky Across Accelerators,” 17th IEEE International Conference on High Performance Computing and Communications (HPCC 2015), Elizabeth, NJ, IEEE, August 2015.
Baboulin, M., S. Donfack, J. Dongarra, L. Grigori, A. Remi, and S. Tomov, A class of communication-avoiding algorithms for solving general dense linear systems on CPU/GPU parallel machines,” Proc. of the International Conference on Computational Science (ICCS), vol. 9, pp. 17-26, June 2012.
Horton, M., S. Tomov, and J. Dongarra, A Class of Hybrid LAPACK Algorithms for Multicore and GPU Architectures,” Symposium for Application Accelerators in High Performance Computing (SAAHPC'11), Knoxville, TN, July 2011.  (329.68 KB)
Buttari, A., J. Langou, J. Kurzak, and J. Dongarra, A Class of Parallel Tiled Linear Algebra Algorithms for Multicore Architectures,” Parallel Computing, vol. 35, pp. 38-53, 00-2009.  (274.74 KB)
Buttari, A., J. Langou, J. Kurzak, and J. Dongarra, A Class of Parallel Tiled Linear Algebra Algorithms for Multicore Architectures,” University of Tennessee Computer Science Technical Report, no. UT-CS-07-600 (also LAPACK Working Note 191), January 2007.  (274.74 KB)
Buttari, A., J. Langou, J. Kurzak, and J. Dongarra, A Class of Parallel Tiled Linear Algebra Algorithms for Multicore Architectures,” Parallel Computing (to appear), 00-2010.  (612.23 KB)
Cao, C., J. Dongarra, P. Du, M. Gates, P. Luszczek, and S. Tomov, clMAGMA: High Performance Dense Linear Algebra with OpenCL,” University of Tennessee Technical Report (Lawn 275), no. UT-CS-13-706: University of Tennessee, March 2013.  (526.6 KB)
Cao, C., J. Dongarra, P. Du, M. Gates, P. Luszczek, and S. Tomov, clMAGMA: High Performance Dense Linear Algebra with OpenCL ,” International Workshop on OpenCL, Bristol University, England, May 2014.  (460.91 KB)
Terpstra, D., H. Jagode, H. You, and J. Dongarra, Collecting Performance Data with PAPI-C,” Tools for High Performance Computing 2009, 3rd Parallel Tools Workshop, Dresden, Germany, Springer Berlin / Heidelberg, pp. 157-173, 00-2010.  (4.45 MB)
Aupy, G., A. Benoit, T. Herault, Y. Robert, F. Vivien, and D. Zaidouni, On the Combination of Silent Error Detection and Checkpointing,” UT-CS-13-710: University of Tennessee Computer Science Technical Report, June 2013.  (1.29 MB)
Benoit, A., A. Cavelan, F. M. Ciorba, V. Le Fèvre, and Y. Robert, Combining checkpointing and replication for reliable execution of linear workflows with fail-stop and silent errors,” International Journal of Networking and Computing, vol. 9, no. 1, pp. 2-27, 2019.  (754.6 KB)
Ballard, G., D. Becker, J. Demmel, J. Dongarra, A. Druinsky, I. Peled, O. Schwartz, S. Toledo, and I. Yamazaki, Communication-Avoiding Symmetric-Indefinite Factorization,” SIAM Journal on Matrix Analysis and Application, vol. 35, issue 4, pp. 1364-1406, July 2014.  (593.18 KB)
Agullo, E., B. Hadri, H. Ltaeif, and J. Dongarra, Comparative Study of One-Sided Factorizations with Multiple Software Packages on Multi-Core Hardware,” 2009 International Conference for High Performance Computing, Networking, Storage, and Analysis (SC '09) (to appear), 00-2009.  (515.63 KB)
Gates, M., S. Tomov, and A. Haidar, Comparing Hybrid CPU-GPU and Native GPU-only Acceleration for Linear Algebra,” 2015 SIAM Conference on Applied Linear Algebra, Atlanta, GA, SIAM, October 2015.  (4.7 MB)

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