Publications

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Song, F., S. Moore, and J. Dongarra, “Modeling of L2 Cache Behavior for Thread-Parallel Scientific Programs on Chip Multi-Processors,” University of Tennessee Computer Science Technical Report, no. UT-CS-06-583, January 2006.  (652.93 KB)
Song, F., and J. Dongarra, “A Scalable Approach to Solving Dense Linear Algebra Problems on Hybrid CPU-GPU Systems,” Concurrency and Computation: Practice and Experience, vol. 27, issue 14, pp. 3702-3723, September 2015.  (8.16 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)
Song, F., S. Moore, and J. Dongarra, “Analytical Modeling for Affinity-Based Thread Scheduling on Multicore Platforms,” University of Tennessee Computer Science Technical Report, UT-CS-08-626, January 2008.  (650.75 KB)
Song, F., S. Tomov, and J. Dongarra, “Efficient Support for Matrix Computations on Heterogeneous Multi-core and Multi-GPU Architectures,” University of Tennessee Computer Science Technical Report, UT-CS-11-668, (also Lawn 250), June 2011.  (5.93 MB)
Song, F., S. Moore, and J. Dongarra, “A Scalable Non-blocking Multicast Scheme for Distributed DAG Scheduling,” The International Conference on Computational Science 2009 (ICCS 2009), vol. 5544, Baton Rouge, LA, pp. 195-204, May 2009.  (228.45 KB)
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)
Song, F., and J. Dongarra, “A Scalable Framework for Heterogeneous GPU-Based Clusters,” The 24th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2012), Pittsburgh, PA, USA, ACM, June 2012.  (3.39 MB)
Sourbier, F., A. Haidar, L. Giraud, H. Ben-Hadj-Ali, S. Operto, and J. Virieux, “Three-dimensional parallel frequency-domain visco-acoustic wave modelling based on a hybrid direct/iterative solver.,” To appear in Geophysical Prospecting journal., 00 2011.  (1.04 MB)
Spannaus, A., K. J. H. Law, P. Luszczek, F. Nasrin, C. Putman Micucci, P. K. Liaw, L. J. Santodonato, D. J. Keffer, and V. Maroulas, “Materials fingerprinting classification,” Computer Physics Communications, pp. 108019, May Jan.  (3.8 MB)
Steen, A J.. van der, and J. Dongarra, “Overview of High Performance Computers,” Handbook of Massive Data Sets: Kluwer Academic Publishers, pp. 791-852, January 2001.  (442.71 KB)
Strohmaier, E., H. Meuer, J. Dongarra, and H. D. Simon, “The TOP500 List and Progress in High-Performance Computing,” IEEE Computer, vol. 48, issue 11, pp. 42-49, November 2015.
Strohmaier, E., J. Dongarra, H. Meuer, and H. D. Simon, “The Marketplace for High-Performance Computers,” Parallel Computing, vol. 25, no. 13-14, pp. 1517-1545, October 2002.  (285.78 KB)
Sukkari, D., M. Gates, M. Al Farhan, H. Anzt, and J. Dongarra, “Task-Based Polar Decomposition Using SLATE on Massively Parallel Systems with Hardware Accelerators,” SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, Denver, CO, ACM, November 2023.
Sun, J., J. Fu, J. Drake, Q. Zhu, A. Haidar, M. Gates, S. Tomov, and J. Dongarra, “Computational Benefit of GPU Optimization for Atmospheric Chemistry Modeling,” Journal of Advances in Modeling Earth Systems, vol. 10, issue 8, pp. 1952–1969, August 2018.  (3.4 MB)
Supinski, B. R. de, S. Alam, D. Bailey, L. Carrington, C. Daley, A. Dubey, T. Gamblin, D. Gunter, P. D. Hovland, H. Jagode, et al., “Modeling the Office of Science Ten Year Facilities Plan: The PERI Architecture Tiger Team,” SciDAC 2009, Journal of Physics: Conference Series, vol. 180(2009)012039, San Diego, California, IOP Publishing, July 2009.  (906.39 KB)
Supinski, B. R. de, J. K. Hollingsworth, S. Moore, and P. H. Worley, “Results of the PERI survey of SciDAC applications,” Journal of Physics: Conference Series, SciDAC 2007, vol. 78, no. 2007, January 2007.  (692.83 KB)
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Tang, Y., “Technical Comparison between several representative checkpoint/rollback solutions for MPI programs,” ICL Technical Report, no. ICL-UT-06-09, January 2006.  (84.67 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)
Tang, C., A. Bouteiller, T. Herault, M G. Venkata, and G. Bosilca, “From MPI to OpenSHMEM: Porting LAMMPS,” OpenSHMEM and Related Technologies. Experiences, Implementations, and Technologies, Annapolis, MD, USA, Springer International Publishing, pp. 121–137, 2015.
Terpstra, D., H. Jagode, H. You, and J. Dongarra, “Collecting Performance Data with PAPI-C,” Tools for High Performance Computing 2009, 3rd Parallel Tools Workshop, Dresden, Germany, Springer Berlin / Heidelberg, pp. 157-173, May 2010.  (4.45 MB)
Tisseur, F., and J. Dongarra, “Parallelizing the Divide and Conquer Algorithm for the Symmetric Tridiagonal Eigenvalue Problem on Distributed Memory Architectures,” SIAM Journal on Scientific Computing, vol. 6, no. 20, pp. 2223-2236, October 2002.  (321.36 KB)
Tomov, S., G. Bosilca, and C. Augonnet, Accelerating Linear Algebra on Heterogeneous Architectures of Multicore and GPUs using MAGMA and DPLASMA and StarPU Schedulers : 2010 Symposium on Application Accelerators in. High-Performance Computing (SAAHPC'10), Tutorial, July 2010.  (499.51 KB)
Tomov, S., and A. Haidar, MAGMA Tensors and Batched Computing for Accelerating Applications on GPUs , San Jose, CA, GPU Technology Conference (GTC17), Presentation in Session S7728, May 2017.  (11.12 MB)
Tomov, S., MATEDOR: MAtrix, TEnsor, and Deep-learning Optimized Routines , Seattle, WA, 2020 NSF Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Principal Investigator Meeting, February 2020.  (2.28 MB)
Tomov, S., W. Lu, J. Bernholc, S. Moore, and J. Dongarra, “Performance Evaluation for Petascale Quantum Simulation Tools,” Proceedings of the Cray Users' Group Meeting, Atlanta, GA, May 2010.
Tomov, S., Matrix Algebra on GPU and Multicore Architectures , Basel, Switzerland, Workshop on GPU-enabled Numerical Libraries, Presentation, May 2011.  (49.27 MB)
Tomov, S., A. Abdelfattah, V. Barra, N. Beams, J. Brown, J-S. Camier, V. Dobrev, J. Dongarra, Y. Dudouit, P. Fischer, et al., CEED ECP Milestone Report: Performance Tuning of CEED Software and 1st and 2nd Wave Apps : Zenodo, October 2019.  (8.31 MB)
Tomov, S., and J. Dongarra, “Dense Linear Algebra for Hybrid GPU-based Systems,” Scientific Computing with Multicore and Accelerators, Boca Raton, Florida, CRC Press, 2010.
Tomov, S., R. Nath, H. Ltaeif, and J. Dongarra, “Dense Linear Algebra Solvers for Multicore with GPU Accelerators,” Parallel Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on, Atlanta, GA, pp. 1-8, 2010.  (1 MB)
Tomov, S., M. Faverge, P. Luszczek, and J. Dongarra, “Using MAGMA with PGI Fortran,” PGI Insider, November 2010.  (176.67 KB)
Tomov, S., Linear Algebra Software for High-Performance Computing (Part 2: Software for Hardware Accelerators and Coprocessors) , Frankfurt, Germany, ISC High Performance (ISC18), Tutorial Presentation, June 2015.  (15.41 MB)
Tomov, S., and J. Dongarra, “Accelerating the Reduction to Upper Hessenberg Form through Hybrid GPU-Based Computing,” University of Tennessee Computer Science Technical Report, UT-CS-09-642 (also LAPACK Working Note 219), May 2009.  (2.37 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., J. Langou, A. Canning, L-W. Wang, and J. Dongarra, “Conjugate-Gradient Eigenvalue Solvers in Computing Electronic Properties of Nanostructure Architectures,” International Journal of Computational Science and Engineering (to appear), January 2005.  (428.21 KB)
Tomov, S., R. Nath, and J. Dongarra, “Accelerating the Reduction to Upper Hessenberg, Tridiagonal, and Bidiagonal Forms through Hybrid GPU-Based Computing,” Parallel Computing, vol. 36, no. 12, pp. 645-654, 00 2010.  (1.39 MB)
Tomov, S., and J. Dongarra, The Future of Computing: Software Libraries , Savannah, GA, DOD CREATE Developers' Review, Keynote Presentation, February 2012.  (6.76 MB)
Tomov, S., K. Wong, J. Dongarra, R. Archibald, E. Chow, E. D'Azevedo, M. Eisenbach, R. Febbo, F. Lopez, D. Nichols, et al., Integrating Deep Learning in Domain Science at Exascale (MagmaDNN) , virtual, DOD HPCMP seminar, December 2020.  (11.12 MB)
Tomov, S., Dense Linear Algebra Solvers for Multicore with GPU Accelerators , Atlanta, GA, International Parallel and Distributed Processing Symposium (IPDPS 2010), April 2010.  (956.68 KB)
Tomov, S., MAGMA - LAPACK for GPUs , Atlanta, GA, Keeneland GPU Tutorial, April 2011.  (742.14 KB)
Tomov, S., MAGMA: Evolution and Revolution , Knoxville, TN, ICL Lunch Talk Seminar, July 2021.  (8.88 MB)
Tomov, S., P. Luszczek, I. Yamazaki, J. Dongarra, H. Anzt, and W. Sawyer, “Optimizing Krylov Subspace Solvers on Graphics Processing Units,” Fourth International Workshop on Accelerators and Hybrid Exascale Systems (AsHES), IPDPS 2014, Phoenix, AZ, IEEE, May 2014.  (536.32 KB)
Tomov, S., J. Dongarra, A. Haidar, I. Yamazaki, T. Dong, T. Schulthess, and R. Solcà, MAGMA: A Breakthrough in Solvers for Eigenvalue Problems , San Jose, CA, GPU Technology Conference (GTC12), Presentation, May 2012.  (9.23 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)
Tomov, S., J. Langou, A. Canning, L-W. Wang, and J. Dongarra, “Comparison of Nonlinear Conjugate-Gradient methods for computing the Electronic Properties of Nanostructure Architectures,” Proceedings of 5th International Conference on Computational Science (ICCS), Atlanta, GA, USA, Springer's Lecture Notes in Computer Science, pp. 317-325, January 2005.  (172.86 KB)
Tomov, S., A. Haidar, D. Schultz, and J. Dongarra, “Evaluation and Design of FFT for Distributed Accelerated Systems,” ECP WBS 2.3.3.09 Milestone Report, no. FFT-ECP ST-MS-10-1216: Innovative Computing Laboratory, University of Tennessee, October 2018.  (7.53 MB)
Tomov, S., and J. Dongarra, MAGMA - LAPACK for HPC on Heterogeneous Architectures , Oak Ridge, TN, Titan Summit at Oak Ridge National Laboratory, Presentation, August 2011.  (20.43 MB)
Tomov, S., J. Dongarra, and M. Baboulin, “Towards Dense Linear Algebra for Hybrid GPU Accelerated Manycore Systems,” University of Tennessee Computer Science Technical Report, UT-CS-08-632 (also LAPACK Working Note 210), January 2008.  (606.41 KB)
Tomov, S., J. Langou, J. Dongarra, A. Canning, and L-W. Wang, “Conjugate-Gradient Eigenvalue Solvers in Computing Electronic Properties of Nanostructure Architectures,” International Journal of Computational Science and Engineering, vol. 2, no. 3/4, pp. 205-212, 00 2006.  (428.21 KB)
Tomov, S., W. Lu, J. Bernholc, S. Moore, and J. Dongarra, “Performance evaluation for petascale quantum simulation tools,” Proceedings of CUG09, Atlanta, GA, May 2009.  (1.09 MB)

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