Publications

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Eijkhout, V., “On the Existence Problem of Incomplete Factorisation Methods,” University of Tennessee Computer Science Department Technical Report, no. UT-CS-99-435, December 1999.  (222.2 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)
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)
Gates, M., A. Abdelfattah, K. Akbudak, M. Al Farhan, R. Alomairy, D. Bielich, T. Burgess, ébastien. Cayrols, N. Lindquist, D. Sukkari, et al., “Evolution of the SLATE linear algebra library,” The International Journal of High Performance Computing Applications, September 2024. DOI: 10.1177/10943420241286531
Dongarra, J., “The evolution of mathematical software,” Communications of the ACM, vol. 65227, issue 12, pp. 66 - 72, December 2022. DOI: 10.1145/3554977
Hermanns, M-A., B. Mohr, and F. Wolf, “Event-based Measurement and Analysis of One-sided Communication,” In Proceedings of the European Conference on Parallel Computing (Euro-Par), Lisbon, Portugal, Springer, August 2005.  (403.44 KB)
Penchoff, D. A., C. C. Peterson, E. M. Wrancher, G. Bosilca, R. J. Harrison, E. F. Valeev, and P. D. Benny, “Evaluations of molecular modeling and machine learning for predictive capabilities in binding of lanthanum and actinium with carboxylic acids,” Journal of Radioanalytical and Nuclear Chemistry, December 2022. DOI: 10.1007/s10967-022-08620-7
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)
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)
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)
Graham, R. L., R. Brightwell, B. Barrett, G. Bosilca, and J. Pjesivac–Grbovic, “An Evaluation of Open MPI's Matching Transport Layer on the Cray XT,” EuroPVM/MPI 2007, September 2007.  (369.01 KB)
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)
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)
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)
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)
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)
Gao, Y., G. Pallez, Y. Robert, and F. Vivien, “Evaluating Task Dropping Strategies for Overloaded Real-Time Systems (Work-In-Progress),” 42nd Real Time Systems Symposium (RTSS): IEEE Computer Society Press, 2021.  (217.13 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)
Bouteiller, A., S. Pophale, S. Boehm, M. B. Baker, and M G. Venkata, “Evaluating Contexts in OpenSHMEM-X Reference Implementation,” OpenSHMEM and Related Technologies. Big Compute and Big Data Convergence, Cham, Springer International Publishing, pp. 50–62, 2018. DOI: 10.1007/978-3-319-73814-7_4
Nayak, P., T. Cojean, and H. Anzt, “Evaluating Asynchronous Schwarz Solvers on GPUs,” International Journal of High Performance Computing Applications, August 2020. DOI: 10.1177/1094342020946814
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)
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)
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)
Han, L., Y. Gao, J. Liu, Y. Robert, and F. Vivien, “Energy-Aware Strategies for Reliability-Oriented Real-Time Task Allocation on Heterogeneous Platforms,” 49th International Conference on Parallel Processing (ICPP 2020), Edmonton, AB, Canada, ACM Press, 2020.  (804.96 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)
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)
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)
Lively, C., X. Wu, V. Taylor, S. Moore, H-C. Chang, and K. Cameron, “Energy and performance characteristics of different parallel implementations of scientific applications on multicore systems,” International Journal of High Performance Computing Applications, vol. 25, no. 3, pp. 342-350, 00 2011.  (467.18 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)
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)
Beck, M., T. Moore, L. Abrahamsson, C. Achouiantz, and P. Johansson, “Enabling Full Service Surrogates Using the Portable Channel Representation,” Tenth International World Wide Web Conference Proceedings (to appear),, Hong Kong, May 2001.  (267.23 KB)
Bland, W., “Enabling Application Resilience With and Without the MPI Standard,” 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Ottawa, Canada, May 2012.  (262.93 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)
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)
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)
Dongarra, J., and S. Moore, “Empirical Performance Tuning of Dense Linear Algebra Software,” in Performance Tuning of Scientific Applications (to appear), 00 2010.
Li, J., G. Bosilca, A. Bouteiller, and B. Nicolae, “Elastic deep learning through resilient collective operations,” SC-W 2023: Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, Denver, CO, ACM, November 2023. DOI: 10.1145/3624062.3626080
Barry, D., A. Danalis, and H. Jagode, “Effortless Monitoring of Arithmetic Intensity with PAPI's Counter Analysis Toolkit,” 13th International Workshop on Parallel Tools for High Performance Computing, Dresden, Germany, Springer International Publishing, September 2020.  (738.47 KB)
Barry, D., A. Danalis, and H. Jagode, “Effortless Monitoring of Arithmetic Intensity with PAPI’s Counter Analysis Toolkit,” Tools for High Performance Computing 2018/2019: Springer, pp. 195–218, 2021. DOI: 10.1007/978-3-030-66057-4_11
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)
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)
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)
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)
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
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)
Baboulin, M., D. Becker, G. Bosilca, A. Danalis, and J. Dongarra, “An efficient distributed randomized solver with application to large dense linear systems,” ICL Technical Report, no. ICL-UT-12-02, July 2012.  (626.26 KB)
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)
Zhao, Y., L. Wan, W. Wu, G. Bosilca, R. Vuduc, J. Ye, W. Tang, and Z. Xu, “Efficient Communications in Training Large Scale Neural Networks,” ACM MultiMedia Workshop 2017, Mountain View, CA, ACM, October 2017.  (1.41 MB)
Benoit, A., Y. Robert, and S. K. Raina, “Efficient checkpoint/verification patterns for silent error detection,” Innovative Computing Laboratory Technical Report, no. ICL-UT-14-03: University of Tennessee, May 2014.  (397.75 KB)

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