Publications

Export 995 results:
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
W
Wu, W., G. Bosilca, R. vandeVaart, S. Jeaugey, and J. Dongarra, GPU-Aware Non-contiguous Data Movement In Open MPI,” 25th International Symposium on High-Performance Parallel and Distributed Computing (HPDC'16), Kyoto, Japan, ACM, June 2016.  (482.32 KB)
Wu, W., A. Bouteiller, G. Bosilca, M. Faverge, and J. Dongarra, Hierarchical DAG scheduling for Hybrid Distributed Systems,” 29th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Hyderabad, India, IEEE, May 2015.  (1.11 MB)
Worley, P. H., J. Candy, L. Carrington, K. Huck, T. Kaiser, K. Mahinthakumar, A. Maloney, S. Moore, D. Reed, P. C. Roth, et al., Performance Analysis of GYRO: A Tool Evaluation,” In Proceedings of the 2005 SciDAC Conference, San Francisco, CA, June 2005.  (172.07 KB)
Wong, K., S. Tomov, and J. Dongarra, Hands-on Research and Training in High-Performance Data Sciences, Data Analytics, and Machine Learning for Emerging Environments,,” ISC High Performance, Frankfurt, Germany, Springer International Publishing, June 2019.  (1016.52 KB)
Wolf, F., and B. Mohr, Hardware-Counter Based Automatic Performance Analysis of Parallel Programs,” Proc. of the Minisymposium 'Performance Analysis', Conference on Parallel Computing (PARCO), Dresden, Germany, Elsevier, 00-2003.
Wolf, F., EARL - API Documentation,” ICL Technical Report, no. ICL-UT-04-03, October 2004.  (111.36 KB)
Wolf, F., A. Maloney, S. Shende, and A. Morris, Trace-Based Parallel Performance Overhead Compensation,” In Proc. of the International Conference on High Performance Computing and Communications (HPCC), Sorrento (Naples), Italy, September 2005.  (306.88 KB)
Wolf, F., F. Freitag, B. Mohr, S. Moore, and B. Wylie, Large Event Traces in Parallel Performance Analysis,” 8th Workshop 'Parallel Systems and Algorithms' (PASA), Lecture Notes in Informatics, no. ICL-UT-06-08, Frankfurt/Main, Germany, Gesellschaft für Informatik, March 2006.  (92.47 KB)
Wolf, F., B. Mohr, J. Dongarra, and S. Moore, Efficient Pattern Search in Large Traces through Successive Refinement,” Proceedings of Euro-Par 2004, Pisa, Italy, Springer-Verlag, August 2004.  (177.46 KB)
Wolf, F., and B. Mohr, Automatic performance analysis of hybrid MPI/OpenMP applications,” Journal of Systems Architecture, Special Issue 'Evolutions in parallel distributed and network-based processing', vol. 49(10-11): Elsevier, pp. 421-439, November 2003.
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. Mohr, J. Dongarra, and S. Moore, Automatic Analysis of Inefficiency Patterns in Parallel Applications,” Concurrency and Computation: Practice and Experience, vol. 19, no. 11, pp. 1481-1496, August 2007.  (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)
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.
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.
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)
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)
V
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 & 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, 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.
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)
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)
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., 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., 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., 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)
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)
T
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)
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)
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.
Tomov, S., M. Gates, and A. Haidar, Accelerating Linear Algebra with MAGMA , Knoxville, TN, ECP Annual Meeting 2018, Tutorial, February 2018.  (35.27 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., A. Haidar, A. Ayala, D. Schultz, and J. Dongarra, Design and Implementation for FFT-ECP on Distributed Accelerated Systems,” Innovative Computing Laboratory Technical Report, no. ICL-UT-19-05: University of Tennessee, April 2019.  (3.19 MB)
Tomov, S., M. Faverge, P. Luszczek, and J. Dongarra, Using MAGMA with PGI Fortran,” PGI Insider, November 2010.  (176.67 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., Matrix Algebra on GPU and Multicore Architectures , Basel, Switzerland, Workshop on GPU-enabled Numerical Libraries, Presentation, May 2011.  (49.27 MB)
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., 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)

Pages