Publications

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Penchoff, D. A., C. B. Sims, and T. L. Windus, “Rare Earth Elements and Critical Materials: Uses and Availability,” Rare Earth Elements and Actinides: Progress in Computational Science Applications, vol. 1388, Washington, DC, American Chemical Society, pp. 63-74, October 2021.
Penchoff, D. A., T. L. Windus, and C. C. Peterson, “Rare Earth Elements and Actinides: Progress in Computational Science Applications,” ACS Symposium Series, vol. 1388, Washington, DC, American Chemical Society, October 2021.
Anzt, H., E. Chow, D. Szyld, and J. Dongarra, “Random-Order Alternating Schwarz for Sparse Triangular Solves,” 2015 SIAM Conference on Applied Linear Algebra (SIAM LA), Atlanta, GA, SIAM, October 2015.  (1.53 MB)
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.  (1.05 MB) (1.54 MB)
Yamazaki, I., J. Kurzak, P. Luszczek, and J. Dongarra, “Randomized Algorithms to Update Partial Singular Value Decomposition on a Hybrid CPU/GPU Cluster,” The International Conference for High Performance Computing, Networking, Storage and Analysis (SC15), Austin, TX, ACM, November 2015.
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)
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Schuchart, J., C. Niethammer, J. Gracia, and G. Bosilca, “Quo Vadis MPI RMA? Towards a More Efficient Use of MPI One-Sided Communication,” EuroMPI'21, Garching, Munich Germany, 2021.  (835.27 KB)
Dongarra, J., and D. W. Walker, “The Quest for Petascale Computing,” Computing in Science and Engineering, vol. 3, no. 3, pp. 32-39, May 2001.  (178.3 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)
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)
Agullo, E., C. Coti, J. Dongarra, T. Herault, and J. Langou, “QR Factorization of Tall and Skinny Matrices in a Grid Computing Environment,” 24th IEEE International Parallel and Distributed Processing Symposium (also LAWN 224), Atlanta, GA, April 2010.  (261.55 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)
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 (to appear), 00 2009.  (234.02 KB)
Agullo, E., C. Coti, T. Herault, J. Langou, S. Peyronnet, A.. Rezmerita, F. Cappello, and J. Dongarra, “QCG-OMPI: MPI Applications on Grids,” Future Generation Computer Systems, vol. 27, no. 4, pp. 357-369, March 2010.  (1.48 MB)
Agullo, E., C. Coti, T. Herault, J. Langou, S. Peyronnet, A.. Rezmerita, F. Cappello, and J. Dongarra, “QCG-OMPI: MPI Applications on Grids.,” Future Generation Computer Systems, vol. 27, no. 4, pp. 435-369, January 2011.  (1.48 MB)
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Nance, D., S. Tomov, and K. Wong, “A Python Library for Matrix Algebra on GPU and Multicore Architectures,” 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS), Denver, CO, IEEE, December 2022.  (414.36 KB)
Schuchart, J., P. Nookala, T. Herault, E. F. Valeev, and G. Bosilca, “Pushing the Boundaries of Small Tasks: Scalable Low-Overhead Data-Flow Programming in TTG,” 2022 IEEE International Conference on Cluster Computing (CLUSTER), Heidelberg, Germany, IEEE, September 2022.
Jagode, H., and A. Danalis, PULSE: PAPI Unifying Layer for Software-Defined Events (Poster) , Seattle, WA, 2020 NSF Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Principal Investigator Meeting, February 2020.  (1.86 MB)
Dongarra, J., J. Kurzak, P. Luszczek, and I. Yamazaki, “PULSAR Users’ Guide, Parallel Ultra-Light Systolic Array Runtime,” University of Tennessee EECS Technical Report, no. UT-EECS-14-733: University of Tennessee, November 2014.  (561.56 KB)
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)
Tsai, Y-H. M., T. Cojean, and H. Anzt, “Providing performance portable numerics for Intel GPUs,” Concurrency and Computation: Practice and Experience, vol. 17, October 2022.  (3.16 MB)
Arnold, D., W. Lee, J. Dongarra, and M. Wheeler, “Providing Infrastructure and Interface to High Performance Applications in a Distributed Setting,” ASTC-HPC 2000, Washington, DC, April 2000.  (96.04 KB)
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)
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)
Demmel, J., J. Dongarra, B.. Parlett, W. Kahan, M. Gu, D. Bindel, Y. Hida, X. Li, O. Marques, J. E. Riedy, et al., “Prospectus for the Next LAPACK and ScaLAPACK Libraries,” PARA 2006, Umea, Sweden, June 2006.  (460.11 KB)
Eijkhout, V., and E. Fuentes, “A Proposed Standard for Matrix Metadata,” Innovative Computing Laboratory Technical Report, no. ICL-UT-03-02, Submitted to ACM TOMS, November 2003.  (13.39 KB)
Tang, Y., G. Fagg, and J. Dongarra, “Proposal of MPI operation level Checkpoint/Rollback and one implementation,” Proceedings of IEEE CCGrid 2006: IEEE Computer Society, January 2006.  (277.27 KB)
Bland, W., G. Bosilca, A. Bouteiller, T. Herault, and J. Dongarra, “A Proposal for User-Level Failure Mitigation in the MPI-3 Standard,” University of Tennessee Electrical Engineering and Computer Science Technical Report, no. ut-cs-12-693: University of Tennessee, February 2012.  (159.46 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.  (4.4 MB)
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)
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)
Ltaeif, H., P. Luszczek, and J. Dongarra, “Profiling High Performance Dense Linear Algebra Algorithms on Multicore Architectures for Power and Energy Efficiency,” International Conference on Energy-Aware High Performance Computing (EnA-HPC 2011), Hamburg, Germany, September 2011.  (1.27 MB)
Hoemmen, M., and I. Yamazaki, Production Implementations of Pipelined & Communication-Avoiding Iterative Linear Solvers , Tokyo, Japan, SIAM Conference on Parallel Processing for Scientific Computing, March 2018.  (2.34 MB)
Fagg, G., E. Gabriel, Z. Chen, T. Angskun, G. Bosilca, J. Pjesivac–Grbovic, and J. Dongarra, “Process Fault-Tolerance: Semantics, Design and Applications for High Performance Computing,” International Journal for High Performance Applications and Supercomputing (to appear), April 2004.  (186.9 KB)
Ma, T., T. Herault, G. Bosilca, and J. Dongarra, “Process Distance-aware Adaptive MPI Collective Communications,” IEEE Int'l Conference on Cluster Computing (Cluster 2011), Austin, Texas, 00 2011.
“Proceedings of the International Conference on Computational Science,” ICCS 2010, Amsterdam, Elsevier, May 2010.
Dongarra, J., and J. Langou, “The Problem with the Linpack Benchmark Matrix Generator,” University of Tennessee Computer Science Technical Report, UT-CS-08-621 (also LAPACK Working Note 206), June 2008.  (136.41 KB)
Langou, J., and J. Dongarra, “The Problem with the Linpack Benchmark Matrix Generator,” International Journal of High Performance Computing Applications, vol. 23, no. 1, pp. 5-14, 00 2009.  (136.41 KB)
Kurzak, J., P. Luszczek, S. Tomov, and J. Dongarra, “Preliminary Results of Autotuning GEMM Kernels for the NVIDIA Kepler Architecture,” LAWN 267, 00 2012.  (1.14 MB)
Funk, Y., M. Götz, and H. Anzt, “Prediction of Optimal Solvers for Sparse Linear Systems Using Deep Learning,” 2022 SIAM Conference on Parallel Processing for Scientific Computing (PP), Philadelphia, PA, Society for Industrial and Applied Mathematics, pp. 14 - 24.
Zunger, A., A. Franceschetti, G. Bester, W. B. Jones, K. Kim, P. A. Graf, L-W. Wang, A. Canning, O. Marques, C. Voemel, et al., “Predicting the electronic properties of 3D, million-atom semiconductor nanostructure architectures,” J. Phys.: Conf. Ser. 46, vol. :101088/1742-6596/46/1/040, pp. 292-298, January 2006.  (644.1 KB)
Hunold, S., A. Bhatele, G. Bosilca, and P. Knees, “Predicting MPI Collective Communication Performance Using Machine Learning,” 2020 IEEE International Conference on Cluster Computing (CLUSTER), Kobe, Japan, IEEE, September 2020.  (619.68 KB)
Aggarwal, I., P. Nayak, A. Kashi, and H. Anzt, “Preconditioners for Batched Iterative Linear Solvers on GPUs,” Smoky Mountains Computational Sciences and Engineering Conference, vol. 169075: Springer Nature Switzerland, pp. 38 - 53, January 2023.
Anzt, H., M. Gates, J. Dongarra, M. Kreutzer, G. Wellein, and M. Kohler, “Preconditioned Krylov Solvers on GPUs,” Parallel Computing, June 2017.  (1.19 MB)
Herault, T., A. Bouteiller, G. Bosilca, M. Gamell, K. Teranishi, M. Parashar, and J. Dongarra, “Practical Scalable Consensus for Pseudo-Synchronous Distributed Systems: Formal Proof,” Innovative Computing Laboratory Technical Report, no. ICL-UT-15-01, April 2015.  (570.97 KB)
Herault, T., A. Bouteiller, G. Bosilca, M. Gamell, K. Teranishi, M. Parashar, and J. Dongarra, “Practical Scalable Consensus for Pseudo-Synchronous Distributed Systems,” The International Conference for High Performance Computing, Networking, Storage and Analysis (SC15), Austin, TX, ACM, November 2015.  (550.96 KB)
Lively, C., X. Wu, V. Taylor, S. Moore, H-C. Chang, C-Y. Su, and K. Cameron, “Power-Aware Prediction Models of Hybrid (MPI/OpenMP) Scientific Applications,” International Conference on Energy-Aware High Performance Computing (EnA-HPC 2011), Hamburg, Germany, September 2011.  (479.49 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)
Kasichayanula, K., H. You, S. Moore, S. Tomov, H. Jagode, and M. Johnson, Power-aware Computing on GPGPUs , Gatlinburg, TN, Fall Creek Falls Conference, Poster, September 2011.  (2.89 MB)

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