Publications

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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)
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)
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)
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)
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)
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)
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.
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)
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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)
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, 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)
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)
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)
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)
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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.  (106.97 KB)
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.
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)
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)
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.
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.
Bouteiller, A., T. Ropars, G. Bosilca, C. Morin, and J. Dongarra, Reasons for a Pessimistic or Optimistic Message Logging Protocol in MPI Uncoordinated Failure Recovery,” CLUSTER '09, New Orleans, IEEE, August 2009.  (191.36 KB)
Dongarra, J., D. Laforenza, and S.. Orlando, Recent Advances in Parallel Virtual Machine and Message Passing Interface,” Lecture Notes in Computer Science, vol. 2840: Springer-Verlag, Berlin, January 2003.
Dongarra, J., P. Kacsuk, and N.. Podhorszki, Recent Advances in Parallel Virtual Machine and Message Passing Interface,” Lecture Notes in Computer Science: Proceedings of 7th European PVM/MPI Users' Group Meeting 2000, (Hungary: Springer Verlag), pp. V1908, January 2000.
Recent Advances in the Message Passing Interface: 19th European MPI Users' Group Meeting, EuroMPI 2012,” Lecture Notes in Computer Science, vol. 7490, Vienna, Austria, 00 2012.
Recent Advances in the Message Passing Interface, Lecture Notes in Computer Science (LNCS),” EuroMPI 2010 Proceedings, vol. 6305, Stuttgart, Germany, Springer, September 2010.
YarKhan, A., K. Seymour, K. Sagi, Z. Shi, and J. Dongarra, Recent Developments in GridSolve,” International Journal of High Performance Computing Applications (Special Issue: Scheduling for Large-Scale Heterogeneous Platforms), vol. 20, no. 1: Sage Science Press, 00 2006.  (496.69 KB)
Dongarra, J., H. Meuer, H. D. Simon, and E. Strohmaier, Recent Trends in High Performance Computing,” in Birth of Numerical Analysis (to appear), 00 2009.
Moore, K., Recommendations for Automatic Responses to Electronic Mail,” RFC 3834: Internet Engineering Task Force (IETF), January 2004.  (174.76 KB)
Fürlinger, K., and S. Moore, Recording the Control Flow of Parallel Applications to Determine Iterative and Phase-Based Behavior,” Future Generation Computing Systems, vol. 26, pp. 162-166, 00 2009.
Bosilca, G., Z. Chen, J. Dongarra, and J. Langou, Recovery Patterns for Iterative Methods in a Parallel Unstable Environment,” University of Tennessee Computer Science Department Technical Report, UT-CS-04-538, 00 2005.  (241.36 KB)
Bosilca, G., Z. Chen, J. Dongarra, and J. Langou, Recovery Patterns for Iterative Methods in a Parallel Unstable Environment,” ICL Technical Report, no. ICL-UT-04-04, January 2004.  (241.36 KB)
Langou, J., Z. Chen, G. Bosilca, and J. Dongarra, Recovery Patterns for Iterative Methods in a Parallel Unstable Environment,” SIAM SISC (to appear), May 2007.  (241.36 KB)
Gustavson, F. G., J. Wasniewski, J. Dongarra, and J. Langou, Rectangular Full Packed Format for Cholesky’s Algorithm: Factorization, Solution, and Inversion,” ACM Transactions on Mathematical Software (TOMS), vol. 37, no. 2, Atlanta, GA, April 2010.  (896.03 KB)
Gustavson, F. G., J. Wasniewski, J. Dongarra, and J. Langou, Rectangular Full Packed Format for Cholesky's Algorithm: Factorization, Solution and Inversion,” ACM TOMS (to appear), 00 2009.  (896.03 KB)
Gustavson, F. G., J. Wasniewski, J. Dongarra, and J. Langou, Rectangular Full Packed Format for Cholesky's Algorithm: Factorization, Solution and Inversion,” ACM Transactions on Mathematical Software (TOMS), vol. 37, no. 2, April 2010.  (896.03 KB)
Gustavson, F. G., J. Wasniewski, and J. Dongarra, Rectangular Full Packed Format for Cholesky's Algorithm: Factorization, Solution and Inversion,” University of Tennessee Computer Science Technical Report, UT-CS-08-614 (also LAPACK Working Note 199), April 2008.  (896.03 KB)
Dongarra, J., V. Eijkhout, and P. Luszczek, Recursive Approach in Sparse Matrix LU Factorization,” Scientific Programming, vol. 9, no. 1, pp. 51-60, 00 2001.  (217.16 KB)
Dongarra, J., V. Eijkhout, and P. Luszczek, Recursive approach in sparse matrix LU factorization,” Proceedings of 1st SGI Users Conference, Cracow, Poland (ACC Cyfronet UMM, 2000), pp. 409-418, January 2000.  (176.14 KB)
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)
Bouteiller, A., G. Bosilca, and J. Dongarra, Redesigning the Message Logging Model for High Performance,” International Supercomputer Conference (ISC 2008), Dresden, Germany, January 2008.  (622.1 KB)
Bouteiller, A., G. Bosilca, and J. Dongarra, Redesigning the Message Logging Model for High Performance,” Concurrency and Computation: Practice and Experience (online version), June 2010.  (438.42 KB)
Cao, Q., S. Abdulah, H. Ltaief, M. G. Genton, D. Keyes, and G. Bosilca, Reducing Data Motion and Energy Consumption of Geospatial Modeling Applications Using Automated Precision Conversion,” 2023 IEEE International Conference on Cluster Computing (CLUSTER), Santa Fe, NM, USA, IEEE, November 2023.
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.  (1.43 MB)
Becker, D., M. Baboulin, and J. Dongarra, Reducing the Amount of Pivoting in Symmetric Indefinite Systems,” Parallel Processing and Applied Mathematics, Lecture Notes in Computer Science (PPAM 2011), vol. 7203: Springer-Verlag Berlin Heidelberg, pp. 133-142, 00 2012.  (145.76 KB)
Becker, D., M. Baboulin, and J. Dongarra, Reducing the Amount of Pivoting in Symmetric Indefinite Systems,” University of Tennessee Innovative Computing Laboratory Technical Report, no. ICL-UT-11-06, Knoxville, TN, Submitted to PPAM 2011, May 2011.  (145.76 KB)

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