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2020

Dongarra, J., L. Grigori, and N. J. Higham, “Numerical Algorithms for High-Performance Computational Science,” Philosophical Transactions of the Royal Society A, vol. 378, issue 2166, 2020.

(724.37 KB)

Gates, M., A. Charara, A. YarKhan, D. Sukkari, M. Al Farhan, and J. Dongarra, “Performance Tuning SLATE,” SLATE Working Notes, no. 14, ICL-UT-20-01: Innovative Computing Laboratory, University of Tennessee, January 2020.

(1.29 MB)

Hori, A., T. Ogura, B. Gerofi, J. Yin, Y. Ishikawa, E. Jeannot, and G. Bosilca, A Report of the MPI International Survey (Poster) , Austin, TX, EuroMPI/USA '20: 27th European MPI Users' Group Meeting, September 2020.

Gainaru, A., B. Goglin, V. Honoré, P. Raghavan, G. Pallez, P. Raghavan, Y. Robert, and H. Sun, “Reservation and Checkpointing Strategies for Stochastic Jobs,” 34th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2020), New Orleans, LA, IEEE Computer Society Press, May 2020.

(692.4 KB)

Jagode, H., A. Danalis, and D. Genet, “Roadmap for Refactoring Classic PAPI to PAPI++: Part II: Formulation of Roadmap Based on Survey Results,” PAPI++ Working Notes, no. 2, ICL-UT-20-09: Innovative Computing Laboratory, University of Tennessee, July 2020.

(763.75 KB)

Abdelfattah, A., T. Costa, J. Dongarra, M. Gates, A. Haidar, S. Hammarling, N. J. Higham, J. Kurzak, P. Luszczek, S. Tomov, et al., “A Set of Batched Basic Linear Algebra Subprograms,” ACM Transactions on Mathematical Software, October 2020.

YarKhan, A., M. Al Farhan, D. Sukkari, M. Gates, and J. Dongarra, “SLATE Performance Report: Updates to Cholesky and LU Factorizations,” Innovative Computing Laboratory Technical Report, no. ICL-UT-20-14: University of Tennessee, October 2020.

(1.64 MB)

Gates, M., A. Charara, J. Kurzak, A. YarKhan, M. Al Farhan, D. Sukkari, and J. Dongarra, SLATE: Software for Linear Algebra Targeting Exascale (POSTER) , Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.

(546.56 KB)

Gates, M., J. Kurzak, A. YarKhan, A. Charara, J. Finney, D. Sukkari, M. Al Farhan, I. Yamazaki, P. Wu, and J. Dongarra, SLATE Tutorial , Houston, TX, 2020 ECP Annual Meeting, February 2020.

(12.14 MB)

Gates, M., A. Charara, J. Kurzak, A. YarKhan, M. Al Farhan, D. Sukkari, and J. Dongarra, “SLATE Users' Guide,” SLATE Working Notes, no. 10, ICL-UT-19-01: Innovative Computing Laboratory, University of Tennessee, July 2020.

(1.51 MB)

Abdelfattah, A., H. Anzt, E. Boman, E. Carson, T. Cojean, J. Dongarra, M. Gates, T. Gruetzmacher, N. J. Higham, S. Li, et al., “A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic,” SLATE Working Notes, no. 15, ICL-UT-20-08: University of Tennessee, July 2020.

(3.98 MB)

Slaughter, E., W. Wu, Y. Fu, L. Brandenburg, N. Garcia, W. Kautz, E. Marx, K. S. Morris, Q. Cao, G. Bosilca, et al., “Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance,” International Conference for High Performance Computing Networking, Storage, and Analysis (SC20): ACM, November 2020.

(644.92 KB)

Dongarra, J., M. Gates, P. Luszczek, and S. Tomov, “Translational Process: Mathematical Software Perspective,” Innovative Computing Laboratory Technical Report, no. ICL-UT-20-11, August 2020.

(752.59 KB)

Dongarra, J., M. Gates, P. Luszczek, and S. Tomov, “Translational Process: Mathematical Software Perspective,” Journal of Computational Science, September 2020.

(752.59 KB)

2019

Gamblin, T., P. Beckman, K. Keahey, K. Sato, M. Kondo, and G. Balazs, “BDEC2 Platform White Paper,” Innovative Computing Laboratory Technical Report, no. ICL-UT-19-11: University of Tennessee, September 2019.

(30.16 KB)

Davis, J., T. Gao, S. Chandrasekaran, H. Jagode, A. Danalis, P. Balaji, J. Dongarra, and M. Taufer, “Characterization of Power Usage and Performance in Data-Intensive Applications using MapReduce over MPI,” 2019 International Conference on Parallel Computing (ParCo2019), Prague, Czech Republic, September 2019.

Badia, R. M., M. Beck, F. Bodin, T. Boku, F. Cappello, A. Choudhary, C. Costa, E. Deelman, N. Ferrier, K. Fujisawa, et al., “A Collection of Presentations from the BDEC2 Workshop in Kobe, Japan,” Innovative Computing Laboratory Technical Report, no. ICL-UT-19-09: University of Tennessee, Knoxville, February 2019.

(58.85 MB)

Antoniu, G., A. Costan, O. Marcu, M. S. Pérez, N. Stojanovic, R. M. Badia, M. Vázquez, S. Girona, M. Beck, T. Moore, et al., “A Collection of White Papers from the BDEC2 Workshop in Poznan, Poland,” Innovative Computing Laboratory Technical Report, no. ICL-UT-19-10: University of Tennessee, Knoxville, May 2019.

(5.82 MB)

Altintas, I., K. Marcus, V. Vural, S. Purawat, D. Crawl, G. Antoniu, A. Costan, O. Marcu, P. Balaprakash, R. Cao, et al., “A Collection of White Papers from the BDEC2 Workshop in San Diego, CA,” Innovative Computing Laboratory Technical Report, no. ICL-UT-19-13: University of Tennessee, October 2019.

(8.25 MB)

Aupy, G., A. Benoit, B. Goglin, L. Pottier, and Y. Robert, “Co-Scheduling HPC Workloads on Cache-Partitioned CMP Platforms,” International Journal of High Performance Computing Applications, vol. 33, issue 6, pp. 1221-1239, November 2019.

(930.28 KB)

Gruetzmacher, T., T. Cojean, G. Flegar, F. Göbel, and H. Anzt, “A Customized Precision Format Based on Mantissa Segmentation for Accelerating Sparse Linear Algebra,” Concurrency and Computation: Practice and Experience, vol. 40319, issue 262, January 2019.

Kurzak, J., M. Gates, A. Charara, A. YarKhan, and J. Dongarra, “Least Squares Solvers for Distributed-Memory Machines with GPU Accelerators,” ACM International Conference on Supercomputing (ICS '19), Phoenix, Arizona, ACM, pp. 117–126, June 2019.

(1.63 MB)

Kurzak, J., M. Gates, A. Charara, A. YarKhan, I. Yamazaki, and J. Dongarra, “Linear Systems Solvers for Distributed-Memory Machines with GPU Accelerators,” Euro-Par 2019: Parallel Processing, vol. 11725: Springer, pp. 495–506, August 2019.

Losada, N., G. Bosilca, A. Bouteiller, P. González, and M. J. Martín, “Local Rollback for Resilient MPI Applications with Application-Level Checkpointing and Message Logging,” Future Generation Computer Systems, vol. 91, pp. 450-464, February 2019.

(1.16 MB)

Ng, L., S. Chen, A. Gessinger, D. Nichols, S. Cheng, A. Meenasorna, K. Wong, S. Tomov, A. Haidar, E. D'Azevedo, et al., MagmaDNN 0.2 High-Performance Data Analytics for Manycore GPUs and CPUs : University of Tennessee, January 2019.

(7.84 MB)

Nichols, D., K. Wong, S. Tomov, L. Ng, S. Chen, and A. Gessinger, “MagmaDNN: Accelerated Deep Learning Using MAGMA,” Practice and Experience in Advanced Research Computing (PEARC ’19), Chicago, IL, ACM, July 2019.

(1.09 MB)

Kurzak, J., Y. Tsai, M. Gates, A. Abdelfattah, and J. Dongarra, “Massively Parallel Automated Software Tuning,” 48th International Conference on Parallel Processing (ICPP 2019), Kyoto, Japan, ACM Press, August 2019.

(911.88 KB)

Dongarra, J., M. Gates, A. Haidar, J. Kurzak, P. Luszczek, P. Wu, I. Yamazaki, A. YarKhan, M. Abalenkovs, N. Bagherpour, et al., “PLASMA: Parallel Linear Algebra Software for Multicore Using OpenMP,” ACM Transactions on Mathematical Software, vol. 45, issue 2, June 2019.

(7.5 MB)

Dongarra, J., S. Gottlieb, and W. T. Kramer, “Race to Exascale,” Computing in Science and Engineering, vol. 21, issue 1, pp. 4-5, March 2019.

(106.97 KB)

Aupy, G., A. Gainaru, V. Honoré, P. Raghavan, Y. Robert, and H. Sun, “Reservation Strategies for Stochastic Jobs,” 33rd IEEE International Parallel and Distributed Processing Symposium (IPDPS 2019), Rio de Janeiro, Brazil, IEEE Computer Society Press, May 2019.

(808.93 KB)

Gao, Y., L-C. Canon, Y. Robert, and F. Vivien, “Scheduling Independent Stochastic Tasks on Heterogeneous Cloud Platforms,” IEEE Cluster 2019, Albuquerque, New Mexico, IEEE Computer Society Press, September 2019.

(651 KB)

Gates, M., J. Kurzak, A. Charara, A. YarKhan, and J. Dongarra, SLATE: Design of a Modern Distributed and Accelerated Linear Algebra Library , Denver, CO, International Conference for High Performance Computing, Networking, Storage and Analysis (SC19), November 2019.

(16.19 MB)

Gates, M., J. Kurzak, A. Charara, A. YarKhan, and J. Dongarra, “SLATE: Design of a Modern Distributed and Accelerated Linear Algebra Library,” International Conference for High Performance Computing, Networking, Storage and Analysis (SC19), Denver, CO, ACM, November 2019.

(2.01 MB)

Charara, A., M. Gates, J. Kurzak, A. YarKhan, and J. Dongarra, “SLATE Developers' Guide,” SLATE Working Notes, no. 11, ICL-UT-19-02: Innovative Computing Laboratory, University of Tennessee, December 2019.

(1.68 MB)

Charara, A., J. Dongarra, M. Gates, J. Kurzak, and A. YarKhan, “SLATE Mixed Precision Performance Report,” Innovative Computing Laboratory Technical Report, no. ICL-UT-19-03: University of Tennessee, April 2019.

(1.04 MB)

Kurzak, J., M. Gates, A. Charara, A. YarKhan, and J. Dongarra, “SLATE Working Note 12: Implementing Matrix Inversions,” SLATE Working Notes, no. 12, ICL-UT-19-04: Innovative Computing Laboratory, University of Tennessee, June 2019.

(1.95 MB)

Gates, M., M. Al Farhan, A. Charara, J. Kurzak, D. Sukkari, A. YarKhan, and J. Dongarra, “SLATE Working Note 13: Implementing Singular Value and Symmetric/Hermitian Eigenvalue Solvers,” SLATE Working Notes, no. 13, ICL-UT-19-07: Innovative Computing Laboratory, University of Tennessee, September 2019.

(3.47 MB)

Anzt, H., G. Flegar, T. Gruetzmacher, and E. S. Quintana-Orti, “Toward a Modular Precision Ecosystem for High-Performance Computing,” The International Journal of High Performance Computing Applications, vol. 33, issue 6, pp. 1069-1078, November 2019.

(1.93 MB)

2018

Dongarra, J., V. Getov, and K. Walsh, “The 30th Anniversary of the Supercomputing Conference: Bringing the Future Closer—Supercomputing History and the Immortality of Now,” Computer, vol. 51, issue 10, pp. 74–85, November 2018.

(1.73 MB)

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