Publications

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)

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)

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. 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., 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., 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., and J. Dongarra, “Automatically Tuned Linear Algebra Software,” 1998 ACM/IEEE conference on Supercomputing (SC '98), Orlando, FL, IEEE Computer Society, November 1998.

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)

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., 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., A. D. Malony, 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., 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.

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)

Wolf, F., “EARL - API Documentation,” ICL Technical Report, no. ICL-UT-04-03, October 2004.

(111.36 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., 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)

Wong, K., S. Tomov, and J. Dongarra, “Project-Based Research and Training in High Performance Data Sciences, Data Analytics, and Machine Learning,” The Journal of Computational Science Education, vol. 11, issue 1, pp. 36-44, January 2020.

(4.4 MB)

Wong, K., S. Tomov, D. Nichols, R. Febbo, F. Lopez, J. Halloy, and X. Ma, How to Build Your Own Deep Neural Network : PEARC20, July 2020.

(18.8 MB)

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)

Worley, P. H., J. Candy, L. Carrington, K. Huck, T. Kaiser, K. Mahinthakumar, A. D. Malony, 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)

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)

“,” 7th International parallel Processing and Applied Mathematics Conference, Lecture Notes in Comptuer Science, vol. 4967, Gdansk, Poland, Springer Berlin, January 2008.

Wyrzykowski, R., E. Deelman, J. Dongarra, and K. Karczewski, “Parallel Processing and Applied Mathematics: 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part II,” Lecture Notes in Computer Science, no. 12044: Springer International Publishing, pp. 503, March 2020.

Wyrzykowski, R., E. Deelman, J. Dongarra, and K. Karczewski, “Parallel Processing and Applied Mathematics: 13th International Conference, PPAM 2019, Bialystok, Poland, September 8–11, 2019, Revised Selected Papers, Part I,” Lecture Notes in Computer Science, 1, no. 12043: Springer International Publishing, pp. 581, March 2020.

Tsai, Y-H. Mike, N. Beams, and H. Anzt, “Mixed Precision Algebraic Multigrid on GPUs,” Parallel Processing and Applied Mathematics (PPAM 2022), vol. 13826, Cham, Springer International Publishing, April 2023.

“8th International Conference on Parallel Processing and Applied Mathematics, Lecture Notes in Computer Science (LNCS),” PPAM 2009 Proceedings, vol. 6067, Wroclaw, Poland, Springer, September 2010.

“Parallel Processing and Applied Mathematics, 9th International Conference, PPAM 2011,” Lecture Notes in Computer Science, vol. 7203, Torun, Poland, 00 2012.