Publications

Export 1085 results:
2020
Kolev, T., P. Fischer, A. Abdelfattah, S. Ananthan, V. Barra, N. Beams, R. Bleile, J. Brown, R. Carson, J-S. Camier, et al., CEED ECP Milestone Report: Improve Performance and Capabilities of CEED-Enabled ECP Applications on Summit/Sierra : Zenodo, 2020. DOI: 10.5281/zenodo.3860804
Pei, Y., Q. Cao, G. Bosilca, P. Luszczek, V. Eijkhout, and J. Dongarra, Communication Avoiding 2D Stencil Implementations over PaRSEC Task-Based Runtime,” 21st IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2020), New Orleans, LA, IEEE, May 2020.  (1.33 MB)
Benoit, A., V. Le Fèvre, P. Raghavan, Y. Robert, and H. Sun, Design and Comparison of Resilient Scheduling Heuristics for Parallel Jobs,” 22nd Workshop on Advances in Parallel and Distributed Computational Models (APDCM 2020), New Orleans, LA, IEEE Computer Society Press, May 2020.  (696.21 KB)
Zaitsev, D., and P. Luszczek, Docker Container based PaaS Cloud Computing Comprehensive Benchmarks using LAPACK,” Computer Modeling and Intelligent Systems CMIS-2020, Zaporizhzhoa, March 2020.  (451.33 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)
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)
Losada, N., P. González, M. J. Martín, G. Bosilca, A. Bouteiller, and K. Teranishi, Fault Tolerance of MPI Applications in Exascale systems: The ULFM Solution,” Future Generation Computer Systems, vol. 106, pp. 467-481, January 2020. DOI: 10.1016/j.future.2020.01.026
Tomov, S., A. Ayala, A. Haidar, and J. Dongarra, FFT-ECP API and High-Performance Library Prototype for 2-D and 3-D FFTs on Large-Scale Heterogeneous Systems with GPUs , no. FFT-ECP STML13-27: Innovative Computing Laboratory, University of Tennessee, January 2020.  (9.71 MB)
Jagode, H., A. Danalis, and J. Dongarra, Formulation of Requirements for new PAPI++ Software Package: Part I: Survey Results,” PAPI++ Working Notes, no. No. 1, ICL-UT-20-02: Innovative Computing Laboratory, University of Tennessee Knoxville, January 2020.  (1.49 MB)
Beckman, P., J. Dongarra, N. Ferrier, G. Fox, T. Moore, D. Reed, and M. Beck, Harnessing the Computing Continuum for Programming Our World,” Fog Computing: Theory and Practice: John Wiley & Sons, Inc., 2020. DOI: 10.1002/9781119551713.ch7  (1.4 MB)
Ayala, A., S. Tomov, A. Haidar, and J. Dongarra, heFFTe: Highly Efficient FFT for Exascale,” International Conference on Computational Science (ICCS 2020), Amsterdam, Netherlands, June 2020. DOI: 10.1007/978-3-030-50371-0_19  (2.62 MB)
Brown, C., A. Abdelfattah, S. Tomov, and J. Dongarra, hipMAGMA v1.0 : Zenodo, March 2020. DOI: 10.5281/zenodo.3908549
Brown, C., A. Abdelfattah, S. Tomov, and J. Dongarra, hipMAGMA v2.0 : Zenodo, July 2020. DOI: 10.5281/zenodo.3928667
Han, L., L-C. Canon, J. Liu, Y. Robert, and F. Vivien, Improved Energy-Aware Strategies for Periodic Real-Time Tasks under Reliability Constraints,” 40th IEEE Real-Time Systems Symposium (RTSS 2019), York, UK, IEEE Press, February 2020.
Lindquist, N., P. Luszczek, and J. Dongarra, Improving the Performance of the GMRES method using Mixed-Precision Techniques,” Smoky Mountains Computational Sciences & Engineering Conference (SMC2020), August 2020.
Beck, M., T. Moore, P. Luszczek, and A. Danalis, Interoperable Convergence of Storage, Networking, and Computation,” Advances in Information and Communication: Proceedings of the 2019 Future of Information and Communication Conference (FICC), no. 2: Springer International Publishing, pp. 667-690, 2020.  (1.8 MB)
Abdelfattah, A., S. Tomov, and J. Dongarra, Investigating the Benefit of FP16-Enabled Mixed-Precision Solvers for Symmetric Positive Definite Matrices using GPUs,” International Conference on Computational Science (ICCS 2020), Amsterdam, Netherlands, Springer, Cham, June 2020. DOI: 10.1007/978-3-030-50417-5_18  (702.38 KB)
Anzt, H., Y-C. Chen, T. Cojean, J. Dongarra, G. Flegar, R. Nayak, E. S. Quintana-Orti, Y. Tsai, and W. Wang, Load-balancing Sparse Matrix Vector Product Kernels on GPUs,” ACM Transactions on Parallel Computing, issue 2, March 2020. DOI: 10.1145/3380930  (5.64 MB)
Farhan, M. Al, A. Abdelfattah, S. Tomov, M. Gates, D. Sukkari, A. Haidar, R. Rosenberg, and J. Dongarra, MAGMA templates for scalable linear algebra on emerging architectures,” The International Journal of High Performance Computing Applications, vol. 2, issue 4, pp. 109434202093842, July Oct. DOI: 10.1177/1094342020938421
Haidar, A., H. Bayraktar, S. Tomov, J. Dongarra, and N. J. Higham, Mixed-Precision Solution of Linear Systems Using Accelerator-Based Computing,” Innovative Computing Laboratory Technical Report, no. ICL-UT-20-05: University of Tennessee, May 2020.  (1.03 MB)
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. DOI: 10.1098/rsta.2019.0066  (724.37 KB)
Hori, A., K. Yoshinaga, T. Herault, A. Bouteiller, G. Bosilca, and Y. Ishikawa, Overhead of Using Spare Nodes,” The International Journal of High Performance Computing Applications, February 2020. DOI: 10.1177%2F1094342020901885
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)
Wong, K., S. Tomov, and J. Dongarra, Project-Based Research and Training in High Performance Data Sciences, Data Analytics, and Machine Learning,” The Journal of Computational Science Education, vol. 11, issue 1, pp. 36-44, January 2020. DOI: 10.22369/issn.2153-4136/11/1/7  (4.4 MB)
Winkler, F., Redesigning PAPI’s High-Level API,” Innovative Computing Laboratory Technical Report, no. ICL-UT-20-03: University of Tennessee, February 2020.  (356.41 KB)
Lu, Y., I. Yamazaki, F. Ino, Y. Matsushita, S. Tomov, and J. Dongarra, Reducing the Amount of out-of-core Data Access for GPU-Accelerated Randomized SVD,” Concurrency and Computation: Practice and Experience, April 2020. DOI: 10.1002/cpe.5754  (1.43 MB)
Dongarra, J., Report on the Fujitsu Fugaku System,” Innovative Computing Laboratory Technical Report, no. ICL-UT-20-06: University of Tennessee, June 2020.  (3.3 MB)
Gainaru, A., B. Goglin, V. Honoré, P. Raghavan, G. Pallez( Aupy), 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)
Bathie, G., L. Marchal, Y. Robert, and S. Thibault, Revisiting Dynamic DAG Scheduling under Memory Constraints for Shared-Memory Platforms,” 22nd Workshop on Advances in Parallel and Distributed Computational Models (APDCM 2020), New Orleans, LA, IEEE Computer Society Press, May 2020.  (317.93 KB)
Du, Y., L. Marchal, G. Pallez( Aupy), and Y. Robert, Robustness of the Young/Daly Formula for Stochastic Iterative Applications,” 49th International Conference on Parallel Processing (ICPP 2020), Edmonton, AB, Canada, ACM Press, August 2020.  (1.11 MB)
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.  (2.35 MB)
Krzhizhanovskaya, V., G. Závodszky, M. Lees, J. Dongarra, P. Sloot, S. Brissos, and J. Teixeira, Twenty Years of Computational Science,” International Conference on Computational Science (ICCS 2020), Amsterdam, Netherlands, June 2020.  (149.66 KB)
Zhong, D., P. Shamis, Q. Cao, G. Bosilca, and J. Dongarra, Using Arm Scalable Vector Extension to optimize Open MPI,” 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID 2020), Melbourne, Australia, IEEE/ACM, May 2020.
2021
Extreme-Scale Task-Based Cholesky Factorization Toward Climate and Weather Prediction Applications,” The Platform for Advanced Scientific Computing Conference (PASC20), Geneva, Switzerland, ACM, July 2021.

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