Publications

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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)
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)
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)
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)
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)
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)
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
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)
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Donfack, S., S. Tomov, and J. Dongarra, “Dynamically balanced synchronization-avoiding LU factorization with multicore and GPUs,” Fourth International Workshop on Accelerators and Hybrid Exascale Systems (AsHES), IPDPS 2014, May 2014.  (490.08 KB)
Song, F., A. YarKhan, and J. Dongarra, “Dynamic Task Scheduling for Linear Algebra Algorithms on Distributed-Memory Multicore Systems,” International Conference for High Performance Computing, Networking, Storage, and Analysis (SC '09), Portland, OR, November 2009.  (502.49 KB)
Hoque, R., T. Herault, G. Bosilca, and J. Dongarra, “Dynamic Task Discovery in PaRSEC- A data-flow task-based Runtime,” ScalA17, Denver, ACM, September 2017. DOI: 10.1145/3148226.3148233 (1.15 MB)
Bosilca, G., T. Herault, and J. Dongarra, DTE: PaRSEC Systems and Interfaces (Poster) , Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.  (840.54 KB)
Bosilca, G., T. Herault, and J. Dongarra, DTE: PaRSEC Enabled Libraries and Applications (Poster) , Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.  (979.27 KB)
Bosilca, G., T. Herault, and J. Dongarra, DTE: PaRSEC Enabled Libraries and Applications : 2021 Exascale Computing Project Annual Meeting, April 2021.  (3.24 MB)
Danalis, A., H. Jagode, and J. Dongarra, Does your tool support PAPI SDEs yet? , Tahoe City, CA, 13th Scalable Tools Workshop, July 2019.  (3.09 MB)
Le Fèvre, V., G. Bosilca, A. Bouteiller, T. Herault, A. Hori, Y. Robert, and J. Dongarra, “Do moldable applications perform better on failure-prone HPC platforms?,” 11th Workshop on Resiliency in High Performance Computing in Clusters, Clouds, and Grids, Turin, Italy, Springer Verlag, August 2018.  (360.72 KB)
Voemel, C., S. Tomov, and J. Dongarra, “Divide & Conquer on Hybrid GPU-Accelerated Multicore Systems,” SIAM Journal on Scientific Computing (submitted), August 2010.
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.
Bosilca, G., A. Bouteiller, A. Danalis, M. Faverge, A. Haidar, T. Herault, J. Kurzak, J. Langou, P. Lemariner, H. Ltaeif, et al., “Distributed-Memory Task Execution and Dependence Tracking within DAGuE and the DPLASMA Project,” Innovative Computing Laboratory Technical Report, no. ICL-UT-10-02, 00 2010.  (400.75 KB)
Herault, T., Y. Robert, G. Bosilca, R. Harrison, C. Lewis, E. Valeev, and J. Dongarra, “Distributed-Memory Multi-GPU Block-Sparse Tensor Contraction for Electronic Structure,” 35th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2021), Portland, OR, IEEE, May 2021.
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)
Bosilca, G., A. Bouteiller, T. Herault, V. Le Fèvre, Y. Robert, and J. Dongarra, “Distributed Termination Detection for HPC Task-Based Environments,” Innovative Computing Laboratory Technical Report, no. ICL-UT-18-14: University of Tennessee, June 2018.
Bosilca, G., A. Bouteiller, A. Danalis, M. Faverge, A. Haidar, T. Herault, J. Kurzak, J. Langou, P. Lemariner, H. Ltaeif, et al., “Distributed Dense Numerical Linear Algebra Algorithms on Massively Parallel Architectures: DPLASMA,” University of Tennessee Computer Science Technical Report, UT-CS-10-660, September 2010.  (366.26 KB)
Abdelfattah, A., A. Haidar, S. Tomov, and J. Dongarra, “On the Development of Variable Size Batched Computation for Heterogeneous Parallel Architectures,” The 17th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2016), IPDPS 2016, Chicago, IL, IEEE, May 2016.  (708.62 KB)
Kurzak, J., P. Wu, M. Gates, I. Yamazaki, P. Luszczek, G. Ragghianti, and J. Dongarra, “Designing SLATE: Software for Linear Algebra Targeting Exascale,” SLATE Working Notes, no. 03, ICL-UT-17-06: Innovative Computing Laboratory, University of Tennessee, October 2017.  (2.8 MB)

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