Publications

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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., MAGMA: Evolution and Revolution , Knoxville, TN, ICL Lunch Talk Seminar, July 2021.  (8.88 MB)
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)
“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.
Tsai, Y. M., P. Luszczek, and J. Dongarra, “Mixed-Precision Algorithm for Finding Selected Eigenvalues and Eigenvectors of Symmetric and Hermitian Matrices,” ICL Technical Report, no. ICL-UT-21-05, August 2021.  (3.93 MB)
Tsai, Y. M., T. Cojean, and H. Anzt, “Sparse Linear Algebra on AMD and NVIDIA GPUs—The Race is On,” ISC High Performance: Springer, June 2020.  (5.63 MB)
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)
Tsai, Y., P. Luszczek, and J. Dongarra, Using Quantized Integer in LU Factorization with Partial Pivoting (Poster) , Seattle, WA, SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP20), February 2020.  (6.65 MB)
Tsai, Y-H. Mike, N. Beams, and H. Anzt, “Three-precision algebraic multigrid on GPUs,” Future Generation Computer Systems, July 2023.
Tseng, S-M., B. Nicolae, G. Bosilca, E. Jeannot, A. Chandramowlishwaran, and F. Cappello, “Towards Portable Online Prediction of Network Utilization Using MPI-Level Monitoring,” 2019 European Conference on Parallel Processing (Euro-Par 2019), Göttingen, Germany, Springer, August 2019.  (1.07 MB)
Turchenko, V., L. Grandinetti, G. Bosilca, and J. Dongarra, “Improvement of parallelization efficiency of batch pattern BP training algorithm using Open MPI,” Proceedings of International Conference on Computational Science, ICCS 2010 (to appear), Amsterdam The Netherlands, Elsevier, June 2010.  (125.01 KB)
Turchenko, V., G. Bosilca, A. Bouteiller, and J. Dongarra, “Efficient Parallelization of Batch Pattern Training Algorithm on Many-core and Cluster Architectures,” 7th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, Berlin, Germany, September 2013.  (102.51 KB)
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Vadhiyar, S., and J. Dongarra, “Self Adaptivity in Grid Computing,” Concurrency and Computation: Practice and Experience, Special Issue: Grid Performance, vol. 17, no. 2-4, pp. 235-257, 00 2005.  (394.66 KB)
Vadhiyar, S., G. Fagg, and J. Dongarra, “Towards an Accurate Model for Collective Communications,” ICL Technical Report, no. ICL-UT-05-03, January 2005.  (250.73 KB)
Vadhiyar, S., G. Fagg, and J. Dongarra, “Performance Modeling for Self Adapting Collective Communications for MPI,” LACSI Symposium 2001, Santa Fe, NM, October 2001.  (105.49 KB)
Vadhiyar, S., and J. Dongarra, “A Metascheduler For The Grid,” Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing (HPDC 2002), Edinburgh, Scotland, IEEE Computer Society, pp. 343-351, July 2002.  (99.53 KB)
Vadhiyar, S., and J. Dongarra, “Self Adaptability in Grid Computing,” Concurrency: Practice and Experience (submitted), March 2003.  (258.89 KB)
Vadhiyar, S., “A Performance Oriented Migration Framework for the Grid,” Proceedings of the 3rd International Symposium on Cluster Computing and the Grid, Tokyo, Japan, pp. 130-137, May 2003.  (113.6 KB)
Vadhiyar, S., and J. Dongarra, “GrADSolve - A Grid-based RPC System for Remote Invocation of Parallel Software,” Journal of Parallel and Distributed Computing (submitted), March 2003.  (241.3 KB)
Vadhiyar, S., G. Fagg, and J. Dongarra, “Automatically Tuned Collective Communications,” Proceedings of SuperComputing 2000 (SC'2000), Dallas, TX, November 2000.  (232.69 KB)
Vadhiyar, S., J. Dongarra, and A. YarKhan, “GrADSolve - RPC for High Performance Computing on the Grid,” Lecture Notes in Computer Science, Proceedings of the 9th International Euro-Par Conference, vol. 2790, Klagenfurt, Austria, Springer-Verlag, Berlin, pp. 394-403, January 2003.  (125.96 KB)
Vadhiyar, S., and J. Dongarra, “SRS - A Framework for Developing Malleable and Migratable Parallel Software,” Parallel Processing Letters, vol. 13, no. 2, pp. 291-312, June 2003.  (211.6 KB)
Vadhiyar, S., G. Fagg, and J. Dongarra, “Towards an Accurate Model for Collective Communications,” International Journal of High Performance Applications, Special Issue: Automatic Performance Tuning, vol. 18, no. 1, pp. 159-167, January 2004.  (250.73 KB)
Valeev, E. F., R. J. Harrison, A. A. Holmes, C. C. Peterson, and D. A. Penchoff, “Direct Determination of Optimal Real-Space Orbitals for Correlated Electronic Structure of Molecules,” Journal of Chemical Theory and Computation, vol. 19, issue 20, pp. 7230 - 7241, October 2023.
Valero-Lara, P., J. Dongarra, A. Haidar, S. D. Relton, S. Tomov, and M. Zounon, A Standard for Batched BLAS Routines , Paris, France, 17th SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP16), April 2016.  (1.93 MB)
Vetter, J., R. Glassbrook, J. Dongarra, K. Schwan, B. Loftis, S. McNally, J. Meredith, J. Rogers, P. Roth, K. Spafford, et al., “Keeneland: Bringing Heterogeneous GPU Computing to the Computational Science Community,” IEEE Computing in Science & Engineering, vol. 13, issue 5, pp. 90-95, August 2011.  (932.57 KB)
Vetter, J., R. Glassbrook, K. Schwan, S. Yalamanchili, M. Horton, A. Gavrilovska, M. Slawinska, J. Dongarra, J. Meredith, P. Roth, et al., “Keeneland: Computational Science Using Heterogeneous GPU Computing,” Contemporary High Performance Computing: From Petascale Toward Exascale, Boca Raton, FL, Taylor and Francis, 2013.  (2.7 MB)
Voemel, C., S. Tomov, and J. Dongarra, “Divide & Conquer on Hybrid GPU-Accelerated Multicore Systems,” SIAM Journal on Scientific Computing (submitted), August 2010.
Voemel, C., S. Tomov, O. Marques, A. Canning, L-W. Wang, and J. Dongarra, “State-of-the-Art Eigensolvers for Electronic Structure Calculations of Large Scale Nano-Systems,” Journal of Computational Physics, vol. 227, no. 15, pp. 7113-7124, January 2008.
Voemel, C., S. Tomov, L-W. Wang, O. Marques, and J. Dongarra, “The Use of Bulk States to Accelerate the Band Edge State Calculation of a Semiconductor Quantum Dot,” Journal of Computational Physics, vol. 223, pp. 774-782, 00 2007.  (452.6 KB)
Voemel, C., S. Tomov, L-W. Wang, O. Marques, and J. Dongarra, “The use of bulk states to accelerate the band edge state calculation of a semiconductor quantum dot,” Journal of Computational Physics (submitted), January 2006.  (337.08 KB)
Voemel, C., S. Tomov, and J. Dongarra, “Divide and Conquer on Hybrid GPU-Accelerated Multicore Systems,” SIAM Journal on Scientific Computing, vol. 34(2), pp. C70-C82, April 2012.
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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.  (4.72 MB)
Wang, Y., M. Baboulin, J. Falcou, Y. Fraigneau, and O. Le Maître, “A Parallel Solver for Incompressible Fluid Flows,” International Conference on Computational Science (ICCS 2013), Barcelona, Spain, Elsevier B.V., June 2013.  (588.79 KB)
Weaver, V., D. Terpstra, H. McCraw, M. Johnson, K. Kasichayanula, J. Ralph, J. Nelson, P. Mucci, T. Mohan, and S. Moore, PAPI 5: Measuring Power, Energy, and the Cloud , Austin, TX, 2013 IEEE International Symposium on Performance Analysis of Systems and Software, April 2013.  (78.39 KB)
Weaver, V. M., and J. Dongarra, “Can Hardware Performance Counters Produce Expected, Deterministic Results?,” 3rd Workshop on Functionality of Hardware Performance Monitoring, Atlanta, GA, December 2010.  (392.71 KB)
Weaver, V. M., M. Johnson, K. Kasichayanula, J. Ralph, P. Luszczek, D. Terpstra, and S. Moore, “Measuring Energy and Power with PAPI,” International Workshop on Power-Aware Systems and Architectures, Pittsburgh, PA, September 2012.  (146.79 KB)
Weaver, V., D. Terpstra, and S. Moore, “Non-Determinism and Overcount on Modern Hardware Performance Counter Implementations,” 2013 IEEE International Symposium on Performance Analysis of Systems and Software, Austin, TX, IEEE, April 2013.  (307.24 KB)
Whaley, C., A. Petitet, and J. Dongarra, “Automated Empirical Optimization of Software and the ATLAS Project,” Parallel Computing, vol. 27, no. 1-2, pp. 3-25, January 2001.  (370.71 KB)
Whaley, C., A. Petitet, and J. Dongarra, “Automated Empirical Optimizations of Software and the ATLAS Project (LAPACK Working Note 147),” University of Tennessee Computer Science Department Technical Report,, no. UT-CS-00-448, September 2000.  (373.69 KB)
Whaley, C., and J. Dongarra, “Automatically Tuned Linear Algebra Software,” 1998 ACM/IEEE conference on Supercomputing (SC '98), Orlando, FL, IEEE Computer Society, November 1998.
White, J. B., and J. Dongarra, “Overlapping Computation and Communication for Advection on a Hybrid Parallel Computer,” IEEE International Parallel and Distributed Processing Symposium (submitted), Anchorage, AK, May 2011.
White, J. B., and J. Dongarra, “High-Performance High-Resolution Semi-Lagrangian Tracer Transport on a Sphere,” Journal of Computational Physics, vol. 230, issue 17, pp. 6778-6799, July 2011.  (1.68 MB)
Whitlock, M., N. Morales, G. Bosilca, A. Bouteiller, B. Nicolae, K. Teranishi, E. Giem, and V. Sarkar, “Integrating process, control-flow, and data resiliency layers using a hybrid Fenix/Kokkos approach,” 2022 IEEE International Conference on Cluster Computing (CLUSTER 2022), Heidelberg, Germany, September 2022.
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)
Wolf, F., B. Mohr, J. Dongarra, and S. Moore, “Automatic analysis of inefficiency patterns in parallel applications,” Concurrency and Computation: Practice and Experience, Special issue "Automatic Performance Analysis" (submitted), 00 2005.  (233.31 KB)
Wolf, F., B. Wylie, E. Abraham, W. Frings, K. Fürlinger, M. Geimer, M-A. Hermanns, B. Mohr, S. Moore, and M. Pfeifer, “Usage of the Scalasca Toolset for Scalable Performance Analysis of Large-scale Parallel Applications,” Proceedings of the 2nd International Workshop on Tools for High Performance Computing, Stuttgart, Germany, Springer, pp. 157-167, January 2008.  (229.2 KB)
Wolf, F., and B. Mohr, “Hardware-Counter Based Automatic Performance Analysis of Parallel Programs,” Advances in Parallel Computing, vol. 13, Dresden, Germany, Elsevier, pp. 753-760, January 2004, 2003.

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