Publications

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Journal Article
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. DOI: 10.1007/978-3-642-11261-4_11  (4.45 MB)
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)
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. DOI: 10.1016/j.parco.2019.02.002  (865.18 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)
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. DOI: 10.1029/2018MS001276  (3.4 MB)
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.
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)
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. DOI: 10.3233/978-1-60750-530-3-441
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)
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. DOI: 10.1002/cpe.2859  (636.68 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)
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)
Kurzak, J., H. Ltaeif, J. Dongarra, and R. M. Badia, Dependency-Driven Scheduling of Dense Matrix Factorizations on Shared-Memory Systems,” PPAM 2009, Poland, September 2009.
Casanova, H., J. Plank, M. Beck, and J. Dongarra, Deploying Fault-tolerance and Task Migration with NetSolve,” Future Generation Computer Systems, vol. 15, no. 5-6: Elsevier, pp. 745-755, October 1999.  (236 KB)
D'Azevedo, E., and J. Dongarra, The Design and Implementation of the Parallel Out of Core ScaLAPACK LU, QR, and Cholesky Factorization Routines,” Concurrency: Practice and Experience, vol. 12, no. 15, pp. 1481-1493, January 2000.  (374.18 KB)
Kurzak, J., P. Luszczek, I. Yamazaki, Y. Robert, and J. Dongarra, Design and Implementation of the PULSAR Programming System for Large Scale Computing,” Supercomputing Frontiers and Innovations, vol. 4, issue 1, 2017. DOI: 10.14529/jsfi170101  (764.96 KB)
Dongarra, J., Z. Chen, G. Bosilca, and J. Langou, Disaster Survival Guide in Petascale Computing: An Algorithmic Approach,” in Petascale Computing: Algorithms and Applications (to appear): Chapman & Hall - CRC Press, 00 2007.  (260.18 KB)
Hiroyasu, T., M. Miki, M. Sano, H. Shimosaka, S. Tsutsui, and J. Dongarra, Distributed Probablistic Model-Building Genetic Algorithm,” Lecture Notes in Computer Science, vol. 2723: Springer-Verlag, Heidelberg, pp. 1015-1028, January 2003.  (288.91 KB)
Yamazaki, I., A. Ida, R. Yokota, and J. Dongarra, Distributed-Memory Lattice H-Matrix Factorization,” The International Journal of High Performance Computing Applications, vol. 33, issue 5, pp. 1046–1063, August 2019. DOI: 10.1177/1094342019861139  (1.14 MB)
Voemel, C., S. Tomov, and J. Dongarra, Divide and Conquer on Hybrid GPU-Accelerated Multicore Systems,” SIAM Journal on Scientific Computing, vol. 34(2), pp. C70-C82, April 2012.
Voemel, C., S. Tomov, and J. Dongarra, Divide & Conquer on Hybrid GPU-Accelerated Multicore Systems,” SIAM Journal on Scientific Computing (submitted), August 2010.
Baboulin, M., D. Becker, G. Bosilca, A. Danalis, and J. Dongarra, An Efficient Distributed Randomized Algorithm for Solving Large Dense Symmetric Indefinite Linear Systems,” Parallel Computing, vol. 40, issue 7, pp. 213-223, July 2014. DOI: 10.1016/j.parco.2013.12.003  (1.42 MB)
Kolev, T., P. Fischer, M. Min, J. Dongarra, J. Brown, V. Dobrev, T. Warburton, S. Tomov, M. S. Shephard, A. Abdelfattah, et al., Efficient exascale discretizations: High-order finite element methods,” The International Journal of High Performance Computing Applications, pp. 10943420211020803, 2021. DOI: 10.1177/10943420211020803
Dongarra, J., and S. Moore, Empirical Performance Tuning of Dense Linear Algebra Software,” in Performance Tuning of Scientific Applications (to appear), 00 2010.
Li, Y., A. YarKhan, J. Dongarra, K. Seymour, and A. Hurault, Enabling Workflows in GridSolve: Request Sequencing and Service Trading,” Journal of Supercomputing, vol. 64, issue 3, pp. 1133-1152, June 2013. DOI: 10.1007/s11227-010-0549-1  (821.29 KB)
Hiroyasu, T., M. Miki, S. Ogura, K. Aoi, T. Yoshida, Y. Okamoto, and J. Dongarra, Energy Minimization of Protein Tertiary Structure by Parallel Simulated Annealing using Genetic Crossover,” Special Issue on Biological Applications of Genetic and Evolutionary Computation (submitted), March 2003.  (438.68 KB)
Ltaeif, H., P. Luszczek, and J. Dongarra, Enhancing Parallelism of Tile Bidiagonal Transformation on Multicore Architectures using Tree Reduction,” Lecture Notes in Computer Science, vol. 7203, pp. 661-670, September 2012.  (185.77 KB)
Hadri, B., H. Ltaeif, E. Agullo, and J. Dongarra, Enhancing Parallelism of Tile QR Factorization for Multicore Architectures,” Submitted to Transaction on Parallel and Distributed Systems, December 2009.  (464.23 KB)
Cao, Q., G. Bosilca, N. Losada, W. Wu, D. Zhong, and J. Dongarra, Evaluating Data Redistribution in PaRSEC,” IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 8, pp. 1856-1872, August 2022. DOI: 10.1109/TPDS.2021.3131657  (3.19 MB)
Gabriel, E., G. Fagg, and J. Dongarra, Evaluating The Performance Of MPI-2 Dynamic Communicators And One-Sided Communication,” Lecture Notes in Computer Science, Recent Advances in Parallel Virtual Machine and Message Passing Interface, 10th European PVM/MPI User's Group Meeting, vol. 2840, Venice, Italy, Springer-Verlag, Berlin, pp. 88-97, September 2003.  (254.08 KB)
Jagode, H., A. Danalis, R. Hoque, M. Faverge, and J. Dongarra, Evaluation of Dataflow Programming Models for Electronic Structure Theory,” Concurrency and Computation: Practice and Experience: Special Issue on Parallel and Distributed Algorithms, vol. 2018, issue e4490, pp. 1–20, May 2018. DOI: 10.1002/cpe.4490  (1.69 MB)
Lopez, M. G., W. Joubert, V. Larrea, O. Hernandez, A. Haidar, S. Tomov, and J. Dongarra, Evaluation of Directive-Based Performance Portable Programming Models,” International Journal of High Performance Computing and Networking, vol. 14, issue 2, pp. 165-182. DOI: http://dx.doi.org/10.1504/IJHPCN.2017.10009064  (1.12 MB)
Bland, W., A. Bouteiller, T. Herault, J. Hursey, G. Bosilca, and J. Dongarra, An evaluation of User-Level Failure Mitigation support in MPI,” Computing, vol. 95, issue 12, pp. 1171-1184, December 2013. DOI: 10.1007/s00607-013-0331-3  (311.23 KB)
Anzt, H., B. Haugen, J. Kurzak, P. Luszczek, and J. Dongarra, Experiences in autotuning matrix multiplication for energy minimization on GPUs,” Concurrency in Computation: Practice and Experience, vol. 27, issue 17, pp. 5096-5113, December 2015. DOI: 10.1002/cpe.3516  (1.98 MB)
Anzt, H., B. Haugen, J. Kurzak, P. Luszczek, and J. Dongarra, Experiences in Autotuning Matrix Multiplication for Energy Minimization on GPUs,” Concurrency and Computation: Practice and Experience, vol. 27, issue 17, pp. 5096 - 5113, Oct 12, 2015. DOI: 10.1002/cpe.3516  (1.99 MB)

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