Publications

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Haidar, A., H. Jagode, A. YarKhan, P. Vaccaro, S. Tomov, and J. Dongarra, “Power-aware Computing: Measurement, Control, and Performance Analysis for Intel Xeon Phi,” 2017 IEEE High Performance Extreme Computing Conference (HPEC'17), Best Paper Finalist, Waltham, MA, IEEE, September 2017. DOI: 10.1109/HPEC.2017.8091085  (908.84 KB)
Haidar, A., H. Jagode, A. YarKhan, P. Vaccaro, S. Tomov, and J. Dongarra, Power-Aware HPC on Intel Xeon Phi KNL Processors , Frankfurt, Germany, ISC High Performance (ISC17), Intel Booth Presentation, June 2017.  (5.87 MB)
Anzt, H., M. Gates, J. Dongarra, M. Kreutzer, G. Wellein, and M. Kohler, “Preconditioned Krylov Solvers on GPUs,” Parallel Computing, June 2017. DOI: 10.1016/j.parco.2017.05.006  (1.19 MB)
Kurzak, J., P. Luszczek, M. Faverge, and J. Dongarra, “Programming the LU Factorization for a Multicore System with Accelerators,” Proceedings of VECPAR’12, Kobe, Japan, April 2012.  (414.33 KB)
Abdelfattah, A., S. Tomov, and J. Dongarra, “Progressive Optimization of Batched LU Factorization on GPUs,” IEEE High Performance Extreme Computing Conference (HPEC’19), Waltham, MA, IEEE, September 2019.  (299.38 KB)
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)
Demmel, J., J. Dongarra, J. Langou, J. Langou, P. Luszczek, and M. Mahoney, “Prospectus for the Next LAPACK and ScaLAPACK Libraries: Basic ALgebra LIbraries for Sustainable Technology with Interdisciplinary Collaboration (BALLISTIC),” LAPACK Working Notes, no. 297, ICL-UT-20-07: University of Tennessee.  (1.41 MB)
Du, P., S. Tomov, and J. Dongarra, “Providing GPU Capability to LU and QR within the ScaLAPACK Framework,” University of Tennessee Computer Science Technical Report (also LAWN 272), no. UT-CS-12-699, September 2012.  (7.48 MB)
Danalis, A., G. Bosilca, A. Bouteiller, T. Herault, and J. Dongarra, “PTG: An Abstraction for Unhindered Parallelism,” International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing (WOLFHPC), New Orleans, LA, IEEE Press, November 2014.  (480.05 KB)
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Kurzak, J., and J. Dongarra, “QR Factorization for the CELL Processor,” University of Tennessee Computer Science Technical Report, UT-CS-08-616 (also LAPACK Working Note 201), May 2008.  (194.95 KB)
Kurzak, J., and J. Dongarra, “QR Factorization for the CELL Processor,” Scientific Programming, vol. 17, no. 1-2, pp. 31-42, 00 2010.  (194.95 KB)
Agullo, E., C. Augonnet, J. Dongarra, M. Faverge, H. Ltaeif, S. Thibault, and S. Tomov, “QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators,” Proceedings of IPDPS 2011, no. ICL-UT-10-04, Anchorage, AK, October 2010.  (468.17 KB)
YarKhan, A., J. Kurzak, and J. Dongarra, “QUARK Users' Guide: QUeueing And Runtime for Kernels,” University of Tennessee Innovative Computing Laboratory Technical Report, no. ICL-UT-11-02, 00 2011.  (247.12 KB)
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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. DOI: 10.1109/MCSE.2018.2882574  (106.97 KB)
Murray, R., J. Demmel, M. W. Mahoney, B. N. Erichson, M. Melnichenko, O. Asif Malik, L. Grigori, P. Luszczek, M. Dereziński, M. E. Lopes, et al., “Randomized Numerical Linear Algebra: A Perspective on the Field with an Eye to Software,” University of California, Berkeley EECS Technical Report, no. UCB/EECS-2022-258: University of California, Berkeley, November 2022. DOI: 10.48550/arXiv.2302.11474  (1.05 MB) (1.54 MB)

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