Publications

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Journal Article
Deshmukh, S., R. Yokota, and G. Bosilca, Cache Optimization and Performance Modeling of Batched, Small, and Rectangular Matrix Multiplication on Intel, AMD, and Fujitsu Processors,” ACM Transactions on Mathematical Software, vol. 49, issue 3, pp. 1 - 29, September 2023.
Schuchart, J., P. Samfass, C. Niethammer, J. Gracia, and G. Bosilca, Callback-based completion notification using MPI Continuations,” Parallel Computing, vol. 21238566, issue 0225, pp. 102793, May Jan.
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.
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.  (490.5 KB)
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.
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)
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)
Dongarra, J., and D. Keyes, The co-evolution of computational physics and high-performance computing,” Nature Reviews Physics, August 2024.
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, May 2010.  (4.45 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.  (754.6 KB)
Luszczek, P., W. M. Sid-Lakhdar, and J. Dongarra, Combining multitask and transfer learning with deep Gaussian processes for autotuning-based performance engineering,” The International Journal of High Performance Computing Applications, March 2023.
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)
Bosilca, G., A. Bouteiller, T. Herault, V. Le Fèvre, Y. Robert, and J. Dongarra, Comparing Distributed Termination Detection Algorithms for Modern HPC Platforms,” International Journal of Networking and Computing, vol. 12, issue 1, pp. 26 - 46, January 2022.
Le Fèvre, V., T. Herault, Y. Robert, A. Bouteiller, A. Hori, G. Bosilca, and J. Dongarra, Comparing the Performance of Rigid, Moldable, and Grid-Shaped Applications on Failure-Prone HPC Platforms,” Parallel Computing, vol. 85, pp. 1–12, July 2019.  (865.18 KB)
Graham, R. L., G. Bosilca, and J. Pjesivac–Grbovic, A Comparison of Application Performance Using Open MPI and Cray MPI,” Cray User Group, CUG 2007, May 2007.  (248.83 KB)
Arbenz, P., A. Cleary, J. Dongarra, and M. Hegland, A Comparison of Parallel Solvers for General Narrow Banded Linear Systems,” Parallel and Distributed Computing Practices, vol. 2, pp. 385-400, October 2002.  (304.96 KB)
Eijkhout, V., E. Fuentes, T. Eidson, and J. Dongarra, The Component Structure of a Self-Adapting Numerical Software System,” International Journal of Parallel Programming, vol. 33, no. 2, June 2005.  (64.88 KB)
Bosilca, G., A. Bouteiller, T. Herault, Y. Robert, and J. Dongarra, Composing Resilience Techniques: ABFT, Periodic, and Incremental Checkpointing,” International Journal of Networking and Computing, vol. 5, no. 1, pp. 2-15, January 2015.  (755.54 KB)
Haidar, A., H. Ltaeif, P. Luszczek, and J. Dongarra, A Comprehensive Study of Task Coalescing for Selecting Parallelism Granularity in a Two-Stage Bidiagonal Reduction,” IPDPS 2012, Shanghai, China, May 2012.  (480.43 KB)
Aliaga, J. I., H. Anzt, T. Grützmacher, E. S. Quintana-Ortí, and A. E. Thomas, Compressed basis GMRES on high-performance graphics processing units,” The International Journal of High Performance Computing Applications, May 2022.  (13.52 MB)
Aliaga, J. I., H. Anzt, T. Grützmacher, E. S. Quintana-Orti, and A. E. Thomas, Compression and load balancing for efficient sparse matrix‐vector product on multicore processors and graphics processing units,” Concurrency and Computation: Practice and Experience, vol. 34, issue 14, June 2022.  (749.82 KB)
Kovalchuk, S. V., C. de Mulatier, V. V. Krzhizhanovskaya, J. Mikyška, M. Paszyński, J. Dongarra, and P. M. A. Sloot, Computation at the Cutting Edge of Science,” Journal of Computational Science, June 2024.
Sun, J., J. Fu, J. Drake, Q. Zhu, A. Haidar, M. Gates, S. Tomov, and J. Dongarra, Computational Benefit of GPU Optimization for Atmospheric Chemistry Modeling,” Journal of Advances in Modeling Earth Systems, vol. 10, issue 8, pp. 1952–1969, August 2018.  (3.4 MB)
Kovalchuk, S. V., V. V. Krzhizhanovskaya, M. Paszyński, D. Kranzlmüller, J. Dongarra, and P. M. A. Sloot, Computational science for a better future,” Journal of Computational Science, vol. 62, pp. 101745, July 2022.
Sloot, P. M., D. Abramson, A. V. Bogdanov, J. Dongarra, A. Zomaya, and Y. Gorbachev, Computational Science — ICCS 2003,” Lecture Notes in Computer Science, vol. 2657-2660, ICCS 2003, International Conference. Melbourne, Australia, Springer-Verlag, Berlin, June 2003.
Computational Science – ICCS 2009, Proceedings of the 9th International Conference,” Lecture Notes in Computer Science: Theoretical Computer Science and General Issues, vol. -, no. 5544-5545, Baton Rouge, LA, May 2009.
Kaya, O., and Y. Robert, Computing Dense Tensor Decompositions with Optimal Dimension Trees,” Algorithmica, vol. 81, issue 5, pp. 2092–2121, May 2019.  (638.4 KB)
Yamazaki, I., S. Tomov, and J. Dongarra, Computing Low-rank Approximation of a Dense Matrix on Multicore CPUs with a GPU and its Application to Solving a Hierarchically Semiseparable Linear System of Equations,” Scientific Programming, 2015.  (648.87 KB)
Baboulin, M., J. Dongarra, S. Gratton, and J. Langou, Computing the Conditioning of the Components of a Linear Least Squares Solution,” VECPAR '08, High Performance Computing for Computational Science, Toulouse, France, January 2008.  (374.97 KB)
Baboulin, M., J. Dongarra, S. Gratton, and J. Langou, Computing the Conditioning of the Components of a Linear Least-squares Solution,” Numerical Linear Algebra with Applications, vol. 16, no. 7, pp. 517-533, 00 2009.  (374.97 KB)
Casanova, H., J. Herrmann, and Y. Robert, Computing the Expected Makespan of Task Graphs in the Presence of Silent Errors,” Parallel Computing, vol. 75, pp. 41–60, July 2018.  (2.56 MB)
Chen, Z., and J. Dongarra, Condition Numbers of Gaussian Random Matrices,” SIAM Journal on Matrix Analysis and Applications (to appear), January 2005.  (186.46 KB)
Tomov, S., J. Langou, J. Dongarra, A. Canning, and L-W. Wang, Conjugate-Gradient Eigenvalue Solvers in Computing Electronic Properties of Nanostructure Architectures,” International Journal of Computational Science and Engineering, vol. 2, no. 3/4, pp. 205-212, 00 2006.  (428.21 KB)
Tomov, S., J. Langou, A. Canning, L-W. Wang, and J. Dongarra, Conjugate-Gradient Eigenvalue Solvers in Computing Electronic Properties of Nanostructure Architectures,” International Journal of Computational Science and Engineering (to appear), January 2005.  (428.21 KB)
Bosilca, G., C. Coti, T. Herault, P. Lemariner, and J. Dongarra, Constructing Resiliant Communication Infrastructure for Runtime Environments in Advances in Parallel Computing,” Advances in Parallel Computing - Parallel Computing: From Multicores and GPU's to Petascale, vol. 19, pp. 441-451, 2010.
Lemariner, P., G. Bosilca, C. Coti, T. Herault, and J. Dongarra, Constructing Resilient Communication Infrastructure for Runtime Environments,” ParCo 2009, Lyon France, September 2009.
Arnold, D., S. Vadhiyar, and J. Dongarra, On the Convergence of Computational and Data Grids,” Parallel Processing Letters, vol. 11, no. 2-3, pp. 187-202, January 2001.  (213.35 KB)
Benoit, A., A. Cavelan, F. Cappello, P. Raghavan, Y. Robert, and H. Sun, Coping with Silent and Fail-Stop Errors at Scale by Combining Replication and Checkpointing,” Journal of Parallel and Distributed Computing, vol. 122, pp. 209–225, December 2018.  (837 KB)
Bouteiller, A., T. Herault, G. Bosilca, and J. Dongarra, Correlated Set Coordination in Fault Tolerant Message Logging Protocols,” Concurrency and Computation: Practice and Experience, vol. 25, issue 4, pp. 572-585, March 2013.  (636.68 KB)
Aupy, G., A. Benoit, S. Dai, L. Pottier, P. Raghavan, Y. Robert, and M. Shantharam, Co-Scheduling Amdhal Applications on Cache-Partitioned Systems,” International Journal of High Performance Computing Applications, vol. 32, issue 1, pp. 123–138, January 2018.  (672.52 KB)
Aupy, G., A. Benoit, B. Goglin, L. Pottier, and Y. Robert, Co-Scheduling HPC Workloads on Cache-Partitioned CMP Platforms,” International Journal of High Performance Computing Applications, vol. 33, issue 6, pp. 1221-1239, November 2019.  (930.28 KB)
Agarwal, P., R. A.. Alexander, E.. Apra, S. Balay, A. S. Bland, J. Colgan, E. D'Azevedo, J. Dongarra, T. Dunigan, M. Fahey, et al., Cray X1 Evaluation Status Report,” Oak Ridge National Laboratory Report, vol. /-2004/13, January 2004.  (817.33 KB)
Mellor-Crummey, J., P. Beckman, J. Dongarra, B. Miller, and K. Yelick, Creating Software Technology to Harness the Power of Leadership-class Computing Systems,” DOE SciDAC Review (to appear), June 2007.  (617.02 KB)
Gruetzmacher, T., T. Cojean, G. Flegar, F. Göbel, and H. Anzt, A Customized Precision Format Based on Mantissa Segmentation for Accelerating Sparse Linear Algebra,” Concurrency and Computation: Practice and Experience, vol. 40319, issue 262, January 2019.
Bosilca, G., A. Bouteiller, A. Danalis, T. Herault, P. Lemariner, and J. Dongarra, DAGuE: A generic distributed DAG Engine for High Performance Computing.,” Parallel Computing, vol. 38, no. 1-2: Elsevier, pp. 27-51, 00 2012.  (830.85 KB)
Dongarra, J., R. Graybill, W. Harrod, R. Lucas, E. Lusk, P. Luszczek, J. McMahon, A. Snavely, J. Vetter, K. Yelick, et al., DARPA's HPCS Program: History, Models, Tools, Languages,” in Advances in Computers, vol. 72: Elsevier, January 2008.  (3.61 MB)
Pjesivac–Grbovic, J., G. Bosilca, G. Fagg, T. Angskun, and J. Dongarra, Decision Trees and MPI Collective Algorithm Selection Problem,” Euro-Par 2007, Rennes, France, Springer, pp. 105–115, August 2007.  (552.94 KB)
Dongarra, J., J. Kurzak, P. Luszczek, and S. Tomov, Dense Linear Algebra on Accelerated Multicore Hardware,” High Performance Scientific Computing: Algorithms and Applications, London, UK, Springer-Verlag, 00 2012.
Bosilca, G., A. Bouteiller, A. Danalis, T. Herault, P. Luszczek, and J. Dongarra, Dense Linear Algebra on Distributed Heterogeneous Hardware with a Symbolic DAG Approach,” Scalable Computing and Communications: Theory and Practice: John Wiley & Sons, pp. 699-735, March 2013.  (1.01 MB)

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