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A
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.  (1.99 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)
Anzt, H., J. Dongarra, M. Kreutzer, G. Wellein, and M. Kohler, “Efficiency of General Krylov Methods on GPUs – An Experimental Study,” The Sixth International Workshop on Accelerators and Hybrid Exascale Systems (AsHES), Chicago, IL, IEEE, May 2016.  (285.28 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.  (1.98 MB)
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.  (2.29 MB)
Anzt, H., J. Dongarra, M. Kreutzer, G. Wellein, and M. Kohler, “Efficiency of General Krylov Methods on GPUs – An Experimental Study,” 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 683-691, May 2016.
B
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.  (1.42 MB)
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)
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)
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.
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)
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)
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)
Benoit, A., S. K. Raina, and Y. Robert, “Efficient Checkpoint/Verification Patterns,” International Journal on High Performance Computing Applications, July 2015.  (392.76 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,” University of Tennessee Computer Science Technical Report, no. ut-cs-12-702, 00 2012.  (422.76 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)
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.  (311.23 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.  (3.89 MB)
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.
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.
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)
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)
C
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.  (2.71 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.  (3.19 MB)
D
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.
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)
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)
Dongarra, J., “The evolution of mathematical software,” Communications of the ACM, vol. 65227, issue 12, pp. 66 - 72, December 2022.
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)
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.
Dongarra, J., and S. Moore, “Empirical Performance Tuning of Dense Linear Algebra Software,” in Performance Tuning of Scientific Applications (to appear), 00 2010.
E
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)
F
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)
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)
Fortenberry, A., S. Tomov, and K. Wong, Extending MAGMA Portability with OneAPI , Dallas, TX, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22), ACM Student Research Competition, November 2022.  (1.33 MB)
Fortenberry, A., and S. Tomov, “Extending MAGMA Portability with OneAPI,” The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22), Ninth Workshop on Accelerator Programming Using Directives (WACCPD 2022), Dallas, TX, November 2022.  (999.19 KB)
G
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)
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)
H
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)
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)
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)
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)
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)
Hoefler, T., B. Stevens, A. F. Prein, J. Baehr, T. Schulthess, T. F. Stocker, J. Taylor, D. Klocke, P. Manninen, P. M. Forster, et al., Earth Virtualization Engines - A Technical Perspective , September 2023.
I
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.  (1.35 MB)
J
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)
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.  (1.69 MB)
K
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.
L
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)

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