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Haidar, A., P. Luszczek, S. Tomov, and J. Dongarra, Efficient Eigensolver Algorithms on Accelerator Based Architectures,” 2015 SIAM Conference on Applied Linear Algebra (SIAM LA), Atlanta, GA, SIAM, October 2015.  (6.98 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
Solcà, R., A. Kozhevnikov, A. Haidar, S. Tomov, T. C. Schulthess, and J. Dongarra, Efficient Implementation Of Quantum Materials Simulations On Distributed CPU-GPU Systems,” The International Conference for High Performance Computing, Networking, Storage and Analysis (SC15), Austin, TX, ACM, November 2015.  (1.09 MB)
Turchenko, V., G. Bosilca, A. Bouteiller, and J. Dongarra, Efficient Parallelization of Batch Pattern Training Algorithm on Many-core and Cluster Architectures,” 7th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, Berlin, Germany, September 2013.  (102.51 KB)
Wolf, F., B. Mohr, J. Dongarra, and S. Moore, Efficient Pattern Search in Large Traces through Successive Refinement,” Proceedings of Euro-Par 2004, Pisa, Italy, Springer-Verlag, August 2004.  (177.46 KB)
Song, F., S. Tomov, and J. Dongarra, Efficient Support for Matrix Computations on Heterogeneous Multi-core and Multi-GPU Architectures,” University of Tennessee Computer Science Technical Report, UT-CS-11-668, (also Lawn 250), June 2011.  (5.93 MB)
Dongarra, J., and S. Moore, Empirical Performance Tuning of Dense Linear Algebra Software,” in Performance Tuning of Scientific Applications (to appear), 00 2010.
You, H., K. Seymour, J. Dongarra, and S. Moore, Empirical Tuning of a Multiresolution Analysis Kernel using a Specialized Code Generator,” ICL Technical Report, no. ICL-UT-07-02, January 2007.  (123.34 KB)
YarKhan, A., J. Kurzak, A. Abdelfattah, and J. Dongarra, An Empirical View of SLATE Algorithms on Scalable Hybrid System,” Innovative Computing Laboratory Technical Report, no. ICL-UT-19-08: University of Tennessee, Knoxville, September 2019.  (441.16 KB)
Song, F., S. Tomov, and J. Dongarra, Enabling and Scaling Matrix Computations on Heterogeneous Multi-Core and Multi-GPU Systems,” 26th ACM International Conference on Supercomputing (ICS 2012), San Servolo Island, Venice, Italy, ACM, June 2012.  (5.88 MB)
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)
London, K., J. Dongarra, S. Moore, P. Mucci, K. Seymour, and T. Spencer, End-user Tools for Application Performance Analysis, Using Hardware Counters,” International Conference on Parallel and Distributed Computing Systems, Dallas, TX, August 2001.  (306.54 KB)
Anzt, H., S. Tomov, and J. Dongarra, Energy Efficiency and Performance Frontiers for Sparse Computations on GPU Supercomputers,” Sixth International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM '15), San Francisco, CA, ACM, February 2015. DOI: 10.1145/2712386.2712387  (2.29 MB)
Dongarra, J., H. Ltaeif, P. Luszczek, and V. M. Weaver, Energy Footprint of Advanced Dense Numerical Linear Algebra using Tile Algorithms on Multicore Architecture,” The 2nd International Conference on Cloud and Green Computing (submitted), Xiangtan, Hunan, China, November 2012.  (329.5 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)
Baboulin, M., J. Demmel, J. Dongarra, S. Tomov, and V. Volkov, Enhancing the Performance of Dense Linear Algebra Solvers on GPUs (in the MAGMA Project) , Austin, TX, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC08), November 2008.  (5.28 MB)
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)
Anzt, H., Y. M. Tsai, A. Abdelfattah, T. Cojean, and J. Dongarra, Evaluating the Performance of NVIDIA’s A100 Ampere GPU for Sparse and Batched Computations,” 2020 IEEE/ACM Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS): IEEE, November 2020.  (1.9 MB)
Tomov, S., A. Haidar, D. Schultz, and J. Dongarra, Evaluation and Design of FFT for Distributed Accelerated Systems,” ECP WBS 2.3.3.09 Milestone Report, no. FFT-ECP ST-MS-10-1216: Innovative Computing Laboratory, University of Tennessee, October 2018.  (7.53 MB)
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)
Pei, Y., G. Bosilca, I. Yamazaki, A. Ida, and J. Dongarra, Evaluation of Programming Models to Address Load Imbalance on Distributed Multi-Core CPUs: A Case Study with Block Low-Rank Factorization,” PAW-ATM Workshop at SC19, Denver, CO, ACM, November 2019.  (4.51 MB)
Luszczek, P., E. Meek, S. Moore, D. Terpstra, V. M. Weaver, and J. Dongarra, Evaluation of the HPC Challenge Benchmarks in Virtualized Environments,” 6th Workshop on Virtualization in High-Performance Cloud Computing, Bordeaux, France, August 2011.  (114.73 KB)
Bland, W., A. Bouteiller, T. Herault, J. Hursey, G. Bosilca, and J. Dongarra, An Evaluation of User-Level Failure Mitigation Support in MPI,” Proceedings of Recent Advances in Message Passing Interface - 19th European MPI Users' Group Meeting, EuroMPI 2012, Vienna, Austria, Springer, September 2012.
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)
Jagode, H., A. Danalis, and J. Dongarra, Exa-PAPI: The Exascale Performance API with Modern C++ , Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.  (556.78 KB)
Reed, D., and J. Dongarra, Exascale Computing and Big Data,” Communications of the ACM, vol. 58, no. 7: ACM, pp. 56-68, July 2015. DOI: 10.1145/2699414  (7.3 MB)
Dongarra, J., K. London, S. Moore, P. Mucci, D. Terpstra, H. You, and M. Zhou, Experiences and Lessons Learned with a Portable Interface to Hardware Performance Counters,” PADTAD Workshop, IPDPS 2003, Nice, France, IEEE, April 2003.  (432.57 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)
Fischer, M., and J. Dongarra, Experiences with Windows 95/NT as a Cluster Computing Platform for Parallel Computing,” Parallel and Distributed Computing Practices, Special Issue: Cluster Computing, vol. 2, no. 2: Nova Science Publishers, USA, pp. 119-128, February 1999.  (164.04 KB)
YarKhan, A., and J. Dongarra, Experiments with Scheduling Using Simulated Annealing in a Grid Environment,” Grid Computing - GRID 2002, Third International Workshop, vol. 2536, Baltimore, MD, Springer, pp. 232-242, November 2002.  (66.91 KB)
Song, F., J. Dongarra, and S. Moore, Experiments with Strassen's Algorithm: From Sequential to Parallel,” 18th IASTED International Conference on Parallel and Distributed Computing and Systems PDCS 2006 (submitted), Dallas, Texas, January 2006.  (514.33 KB)
Iqbal, Z., S. Nooshabadi, I. Yamazaki, S. Tomov, and J. Dongarra, Exploiting Block Structures of KKT Matrices for Efficient Solution of Convex Optimization Problems,” IEEE Access, 2021. DOI: 10.1109/ACCESS.2021.3106054  (1.35 MB)
Dongarra, J., M. Faverge, H. Ltaeif, and P. Luszczek, Exploiting Fine-Grain Parallelism in Recursive LU Factorization,” Proceedings of PARCO'11, no. ICL-UT-11-04, Gent, Belgium, April 2011.
Buttari, A., J. Dongarra, J. Kurzak, J. Langou, J. Langou, P. Luszczek, and S. Tomov, Exploiting Mixed Precision Floating Point Hardware in Scientific Computations,” In High Performance Computing and Grids in Action (to appear), Amsterdam, IOS Press, 00 2007.  (122.01 KB)
Buttari, A., J. Dongarra, J. Kurzak, J. Langou, J. Langou, P. Luszczek, and S. Tomov, Exploiting Mixed Precision Floating Point Hardware in Scientific Computations,” in High Performance Computing and Grids in Action, Amsterdam, IOS Press, January 2008.  (92.95 KB)
Langou, J., J. Langou, P. Luszczek, J. Kurzak, A. Buttari, and J. Dongarra, Exploiting the Performance of 32 bit Floating Point Arithmetic in Obtaining 64 bit Accuracy,” University of Tennessee Computer Science Tech Report, no. UT-CS-06-574, LAPACK Working Note #175, April 2006.  (221.39 KB)
Dongarra, J., S. Moore, G. D. Peterson, S. Tomov, J. Allred, V. Natoli, and D. Richie, Exploring New Architectures in Accelerating CFD for Air Force Applications,” Proceedings of the DoD HPCMP User Group Conference, Seattle, Washington, January 2008.  (492.86 KB)
Fagg, G., E. Gabriel, G. Bosilca, T. Angskun, Z. Chen, J. Pjesivac–Grbovic, K. London, and J. Dongarra, Extending the MPI Specification for Process Fault Tolerance on High Performance Computing Systems,” Proceedings of ISC2004 (to appear), Heidelberg, Germany, June 2004.  (548.38 KB)
Bland, W., P. Du, A. Bouteiller, T. Herault, G. Bosilca, and J. Dongarra, Extending the scope of the Checkpoint-on-Failure protocol for forward recovery in standard MPI,” Concurrency and Computation: Practice and Experience, July 2013. DOI: 10.1002/cpe.3100  (3.89 MB)
Bland, W., P. Du, A. Bouteiller, T. Herault, G. Bosilca, and J. Dongarra, Extending the Scope of the Checkpoint-on-Failure Protocol for Forward Recovery in Standard MPI,” University of Tennessee Computer Science Technical Report, no. ut-cs-12-702, 00 2012.  (422.76 KB)
Cao, Q., Y. Pei, K. Akbudak, A. Mikhalev, G. Bosilca, H. Ltaief, D. Keyes, and J. Dongarra, Extreme-Scale Task-Based Cholesky Factorization Toward Climate and Weather Prediction Applications,” Platform for Advanced Scientific Computing Conference (PASC20), Geneva, Switzerland, ACM, June 2020. DOI: 10.1145/3394277.3401846  (2.71 MB)
Dongarra, J., M. Faverge, Y. Ishikawa, R. Namyst, F. Rue, and F. Trahay, EZTrace: a generic framework for performance analysis,” ICL Technical Report, no. ICL-UT-11-01, December 2010.
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Abdelfattah, A., A. Haidar, S. Tomov, and J. Dongarra, Factorization and Inversion of a Million Matrices using GPUs: Challenges and Countermeasures,” Procedia Computer Science, vol. 108, pp. 606–615, June 2017. DOI: 10.1016/j.procs.2017.05.250  (643.44 KB)
Bosilca, G., A. Bouteiller, A. Guermouche, T. Herault, Y. Robert, P. Sens, and J. Dongarra, Failure Detection and Propagation in HPC Systems,” Proceedings of the The International Conference for High Performance Computing, Networking, Storage and Analysis (SC'16), Salt Lake City, Utah, IEEE Press, pp. 27:1-27:11, November 2016.
Bosilca, G., A. Bouteiller, A. Guermouche, T. Herault, Y. Robert, P. Sens, and J. Dongarra, A Failure Detector for HPC Platforms,” The International Journal of High Performance Computing Applications, vol. 32, issue 1, pp. 139–158, January 2018. DOI: 10.1177/1094342017711505  (1.04 MB)

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