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Haidar, A., T. Dong, S. Tomov, P. Luszczek, and J. Dongarra, Framework for Batched and GPU-resident Factorization Algorithms to Block Householder Transformations,” ISC High Performance, Frankfurt, Germany, Springer, July 2015.  (778.26 KB)
Jagode, H., A. Danalis, and J. Dongarra, Formulation of Requirements for New PAPI++ Software Package: Part I: Survey Results,” PAPI++ Working Notes, no. 1, ICL-UT-20-02: Innovative Computing Laboratory, University of Tennessee Knoxville, January 2020.  (1.49 MB)
Haidar, A., A. YarKhan, C. Cao, P. Luszczek, S. Tomov, and J. Dongarra, Flexible Linear Algebra Development and Scheduling with Cholesky Factorization,” 17th IEEE International Conference on High Performance Computing and Communications, Newark, NJ, August 2015.  (494.31 KB)
Bosilca, G., A. Bouteiller, A. Danalis, M. Faverge, A. Haidar, T. Herault, J. Kurzak, J. Langou, P. Lemariner, H. Ltaeif, et al., Flexible Development of Dense Linear Algebra Algorithms on Massively Parallel Architectures with DPLASMA,” Proceedings of the Workshops of the 25th IEEE International Symposium on Parallel and Distributed Processing (IPDPS 2011 Workshops), Anchorage, Alaska, USA, IEEE, pp. 1432-1441, May 2011.  (1.26 MB)
Cao, Q., G. Bosilca, W. Wu, D. Zhong, A. Bouteiller, and J. Dongarra, Flexible Data Redistribution in a Task-Based Runtime System,” IEEE International Conference on Cluster Computing (Cluster 2020), Kobe, Japan, IEEE, September 2020. DOI: 10.1109/CLUSTER49012.2020.00032  (354.8 KB)
Fagg, G., J. Pjesivac–Grbovic, G. Bosilca, T. Angskun, and J. Dongarra, Flexible collective communication tuning architecture applied to Open MPI,” 2006 Euro PVM/MPI (submitted), Bonn, Germany, January 2006.  (206.58 KB)
Anzt, H., G. Collins, J. Dongarra, G. Flegar, and E. S. Quintana-Orti, Flexible Batched Sparse Matrix-Vector Product on GPUs,” 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA '17), Denver, CO, ACM Press, November 2017. DOI: http://dx.doi.org/10.1145/3148226.3148230  (583.4 KB)
Anzt, H., G. Collins, J. Dongarra, G. Flegar, and E. S. Quintana-Orti, Flexible Batched Sparse Matrix Vector Product on GPUs , Denver, Colorado, ScalA'17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, November 2017.  (16.8 MB)
Dongarra, J., and V. Eijkhout, Finite-choice Algorithm Optimization in Conjugate Gradients (LAPACK Working Note 159),” University of Tennessee Computer Science Technical Report, UT-CS-03-502, January 2003.  (64.52 KB)
Anzt, H., J. Dongarra, and E. S. Quintana-Orti, Fine-grained Bit-Flip Protection for Relaxation Methods,” Journal of Computational Science, November 2016. DOI: 10.1016/j.jocs.2016.11.013  (1.47 MB)
Tomov, S., A. Haidar, A. Ayala, H. Shaiek, and J. Dongarra, FFT-ECP Implementation Optimizations and Features Phase,” Innovative Computing Laboratory Technical Report, no. ICL-UT-19-12: University of Tennessee, October 2019.  (4.14 MB)
Tomov, S., A. Haidar, A. Ayala, D. Schultz, and J. Dongarra, FFT-ECP Fast Fourier Transform , Houston, TX, 2019 ECP Annual Meeting (Research Poster), January 2019.  (1.51 MB)
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,” ECP Milestone Report, no. FFT-ECP STML13-27: Innovative Computing Laboratory, University of Tennessee, January 2020.  (9.71 MB)
Wang, L., W. Wu, J. Zhang, H. Liu, G. Bosilca, M. Herlihy, and R. Fonseca, FFT-Based Gradient Sparsification for the Distributed Training of Deep Neural Networks,” 9th International Symposium on High-Performance Parallel and Distributed Computing (HPDC 20), Stockholm, Sweden, ACM, June 2020. DOI: 10.1145/3369583.3392681  (4.72 MB)
Ayala, A., S. Tomov, P. Luszczek, S. Cayrols, G. Ragghianti, and J. Dongarra, FFT Benchmark Performance Experiments on Systems Targeting Exascale,” ICL Technical Report, no. ICL-UT-22-02, March 2022.  (5.87 MB)
Song, F., S. Moore, and J. Dongarra, Feedback-Directed Thread Scheduling with Memory Considerations,” IEEE International Symposium on High Performance Distributed Computing, Monterey Bay, CA, June 2007.  (297.24 KB)
Gabriel, E., G. Fagg, A. Bukovsky, T. Angskun, and J. Dongarra, A Fault-Tolerant Communication Library for Grid Environments,” 17th Annual ACM International Conference on Supercomputing (ICS'03) International Workshop on Grid Computing and e-Science, San Francisco, June 2003.  (377.14 KB)
Fagg, G., A. Bukovsky, and J. Dongarra, Fault Tolerant MPI for the HARNESS Meta-Computing System,” Proceedings of International Conference of Computational Science - ICCS 2001, Lecture Notes in Computer Science, vol. 2073, Berlin, Springer Verlag, pp. 355-366, 00 2001. DOI: 10.1007/3-540-45545-0_44
Chen, Z., G. Fagg, E. Gabriel, J. Langou, T. Angskun, G. Bosilca, and J. Dongarra, Fault Tolerant High Performance Computing by a Coding Approach,” Proceedings of ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (to appear), Chicago, Illinois, January 2005.  (209.37 KB)
Fagg, G., E. Gabriel, Z. Chen, T. Angskun, G. Bosilca, A. Bukovsky, and J. Dongarra, Fault Tolerant Communication Library and Applications for High Performance Computing,” Los Alamos Computer Science Institute (LACSI) Symposium 2003 (presented), Santa Fe, NM, October 2003.  (146.05 KB)
Dongarra, J., T. Herault, and Y. Robert, Fault Tolerance Techniques for High-performance Computing,” University of Tennessee Computer Science Technical Report (also LAWN 289), no. UT-EECS-15-734: University of Tennessee, May 2015.
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, May 2020. DOI: 10.1016/j.future.2020.01.026  (2.06 MB)
Bouteiller, A., and F. Desprez, Fault Tolerance Management for a Hierarchical GridRPC Middleware,” 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), Lyon, France, January 2008.  (319.79 KB)
Agullo, E., C. Augonnet, J. Dongarra, H. Ltaeif, R. Namyst, S. Thibault, and S. Tomov, Faster, Cheaper, Better - A Hybridization Methodology to Develop Linear Algebra Software for GPUs,” LAPACK Working Note, no. 230, 00 2010.  (334.48 KB)
Abdelfattah, A., A. Haidar, S. Tomov, and J. Dongarra, Fast Cholesky Factorization on GPUs for Batch and Native Modes in MAGMA,” Journal of Computational Science, vol. 20, pp. 85–93, May 2017. DOI: 10.1016/j.jocs.2016.12.009  (3.6 MB)
Abdelfattah, A., S. Tomov, and J. Dongarra, Fast Batched Matrix Multiplication for Small Sizes using Half Precision Arithmetic on GPUs,” 33rd IEEE International Parallel and Distributed Processing Symposium (IPDPS), Rio de Janeiro, Brazil, IEEE, May 2019.  (675.5 KB)
Dong, T., A. Haidar, S. Tomov, and J. Dongarra, A Fast Batched Cholesky Factorization on a GPU,” International Conference on Parallel Processing (ICPP-2014), Minneapolis, MN, September 2014.  (1.37 MB)
Alvaro, W., J. Kurzak, and J. Dongarra, Fast and Small Short Vector SIMD Matrix Multiplication Kernels for the CELL Processor,” University of Tennessee Computer Science Technical Report, no. UT-CS-08-609, (also LAPACK Working Note 189), January 2008.  (500.99 KB)
Bosilca, G., A. Bouteiller, A. Guermouche, T. Herault, Y. Robert, P. Sens, and J. Dongarra, A Failure Detector for HPC Platforms,” The International Journal of High Performance Computing Applications, vol. 32, issue 1, pp. 139–158, January 2018. DOI: 10.1177/1094342017711505  (1.04 MB)
Bosilca, G., A. Bouteiller, A. Guermouche, T. Herault, Y. Robert, P. Sens, and J. Dongarra, Failure Detection and Propagation in HPC Systems,” Proceedings of the The International Conference for High Performance Computing, Networking, Storage and Analysis (SC'16), Salt Lake City, Utah, IEEE Press, pp. 27:1-27:11, November 2016.
Abdelfattah, A., A. Haidar, S. Tomov, and J. Dongarra, Factorization and Inversion of a Million Matrices using GPUs: Challenges and Countermeasures,” Procedia Computer Science, vol. 108, pp. 606–615, June 2017. DOI: 10.1016/j.procs.2017.05.250  (643.44 KB)
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Dongarra, J., M. Faverge, Y. Ishikawa, R. Namyst, F. Rue, and F. Trahay, EZTrace: a generic framework for performance analysis,” ICL Technical Report, no. ICL-UT-11-01, December 2010.
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)
Bland, W., P. Du, A. Bouteiller, T. Herault, G. Bosilca, and J. Dongarra, Extending the scope of the Checkpoint-on-Failure protocol for forward recovery in standard MPI,” Concurrency and Computation: Practice and Experience, July 2013. DOI: 10.1002/cpe.3100  (3.89 MB)
Bland, W., P. Du, A. Bouteiller, T. Herault, G. Bosilca, and J. Dongarra, Extending the Scope of the Checkpoint-on-Failure Protocol for Forward Recovery in Standard MPI,” University of Tennessee Computer Science Technical Report, no. ut-cs-12-702, 00 2012.  (422.76 KB)
Fagg, G., E. Gabriel, G. Bosilca, T. Angskun, Z. Chen, J. Pjesivac–Grbovic, K. London, and J. Dongarra, Extending the MPI Specification for Process Fault Tolerance on High Performance Computing Systems,” Proceedings of ISC2004 (to appear), Heidelberg, Germany, June 2004.  (548.38 KB)
Fortenberry, A., S. Tomov, and K. Wong, Extending MAGMA Portability with OneAPI , Dallas, TX, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22), ACM Student Research Competition, November 2022.  (1.33 MB)
Fortenberry, A., and S. Tomov, Extending MAGMA Portability with OneAPI,” The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22), Ninth Workshop on Accelerator Programming Using Directives (WACCPD 2022), Dallas, TX, November 2022.  (999.19 KB)
Dongarra, J., S. Moore, G. D. Peterson, S. Tomov, J. Allred, V. Natoli, and D. Richie, Exploring New Architectures in Accelerating CFD for Air Force Applications,” Proceedings of the DoD HPCMP User Group Conference, Seattle, Washington, January 2008.  (492.86 KB)
Langou, J., J. Langou, P. Luszczek, J. Kurzak, A. Buttari, and J. Dongarra, Exploiting the Performance of 32 bit Floating Point Arithmetic in Obtaining 64 bit Accuracy,” University of Tennessee Computer Science Tech Report, no. UT-CS-06-574, LAPACK Working Note #175, April 2006.  (221.39 KB)
Buttari, A., J. Dongarra, J. Kurzak, J. Langou, J. Langou, P. Luszczek, and S. Tomov, Exploiting Mixed Precision Floating Point Hardware in Scientific Computations,” in High Performance Computing and Grids in Action, Amsterdam, IOS Press, January 2008.  (92.95 KB)
Buttari, A., J. Dongarra, J. Kurzak, J. Langou, J. Langou, P. Luszczek, and S. Tomov, Exploiting Mixed Precision Floating Point Hardware in Scientific Computations,” In High Performance Computing and Grids in Action (to appear), Amsterdam, IOS Press, 00 2007.  (122.01 KB)
Dongarra, J., M. Faverge, H. Ltaeif, and P. Luszczek, Exploiting Fine-Grain Parallelism in Recursive LU Factorization,” Proceedings of PARCO'11, no. ICL-UT-11-04, Gent, Belgium, April 2011.
Iqbal, Z., S. Nooshabadi, I. Yamazaki, S. Tomov, and J. Dongarra, Exploiting Block Structures of KKT Matrices for Efficient Solution of Convex Optimization Problems,” IEEE Access, 2021. DOI: 10.1109/ACCESS.2021.3106054  (1.35 MB)
Song, F., J. Dongarra, and S. Moore, Experiments with Strassen's Algorithm: From Sequential to Parallel,” 18th IASTED International Conference on Parallel and Distributed Computing and Systems PDCS 2006 (submitted), Dallas, Texas, January 2006.  (514.33 KB)
YarKhan, A., and J. Dongarra, Experiments with Scheduling Using Simulated Annealing in a Grid Environment,” Grid Computing - GRID 2002, Third International Workshop, vol. 2536, Baltimore, MD, Springer, pp. 232-242, November 2002.  (66.91 KB)
Fischer, M., and J. Dongarra, Experiences with Windows 95/NT as a Cluster Computing Platform for Parallel Computing,” Parallel and Distributed Computing Practices, Special Issue: Cluster Computing, vol. 2, no. 2: Nova Science Publishers, USA, pp. 119-128, February 1999.  (164.04 KB)
Anzt, H., B. Haugen, J. Kurzak, P. Luszczek, and J. Dongarra, Experiences in autotuning matrix multiplication for energy minimization on GPUs,” Concurrency in Computation: Practice and Experience, vol. 27, issue 17, pp. 5096-5113, December 2015. DOI: 10.1002/cpe.3516  (1.98 MB)
Anzt, H., B. Haugen, J. Kurzak, P. Luszczek, and J. Dongarra, Experiences in Autotuning Matrix Multiplication for Energy Minimization on GPUs,” Concurrency and Computation: Practice and Experience, vol. 27, issue 17, pp. 5096 - 5113, Oct 12, 2015. DOI: 10.1002/cpe.3516  (1.99 MB)
Dongarra, J., K. London, S. Moore, P. Mucci, D. Terpstra, H. You, and M. Zhou, Experiences and Lessons Learned with a Portable Interface to Hardware Performance Counters,” PADTAD Workshop, IPDPS 2003, Nice, France, IEEE, April 2003.  (432.57 KB)

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