Publications

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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. DOI: 10.1145/3369583.3392681  (4.72 MB)
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., 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)
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. DOI: 10.1109/ICPPW.2012.39  (146.79 KB)
Lin, P. T., P. Nayak, A. Kashi, D. Kulkarni, A. Scheinberg, and H. Anzt, “Accelerating Fusion Plasma Collision Operator Solves with Portable Batched Iterative Solvers on GPUs,” ISC High Performance 2024 International Workshops , vol. 15058, Hamburg, Germany, Springer, Cham, pp. 127 - 140, December 2024. DOI: 10.1007/978-3-031-73716-9
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. DOI: 10.1016/j.jcp.2011.05.008  (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.
Whitlock, M., H. Kolla, A. Bouteiller, J. R. Mayo, N. M. Morales, K. Teranishi, and G. Bosilca, “Asynchrony and Failure Masking via Pseudo-Local Process Recovery in MPI Applications,” 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), San Francisco, CA, USA, IEEE, May 2024. DOI: 10.1109/IPDPSW63119.2024.00193
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, “Hardware-Counter Based Automatic Performance Analysis of Parallel Programs,” Advances in Parallel Computing, vol. 13, Dresden, Germany, Elsevier, pp. 753-760, January 2004, 2003. DOI: 10.1016/S0927-5452(04)80092-3
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)
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, “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. DOI: 10.22369/issn.2153-4136/11/1/7  (4.4 MB)
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)
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. DOI: 10.1007/978-3-030-43229-4
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. DOI: 10.1007/978-3-031-30442-2_9
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. DOI: 10.1007/978-3-030-43222-5
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Kurzak, J., M. Gates, A. Charara, A. YarKhan, I. Yamazaki, and J. Dongarra, “Linear Systems Solvers for Distributed-Memory Machines with GPU Accelerators,” Euro-Par 2019: Parallel Processing, vol. 11725: Springer, pp. 495–506, August 2019. DOI: 10.1007/978-3-030-29400-7_35
Yamazaki, I., M. Hoemmen, P. Luszczek, and J. Dongarra, “Improving Performance of GMRES by Reducing Communication and Pipelining Global Collectives,” Proceedings of The 18th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2017), Best Paper Award, Orlando, FL, June 2017. DOI: 10.1109/IPDPSW.2017.65  (453.66 KB)
Yamazaki, I., S. Nooshabadi, S. Tomov, and J. Dongarra, “Structure-aware Linear Solver for Realtime Convex Optimization for Embedded Systems,” IEEE Embedded Systems Letters, vol. 9, issue 3, pp. 61–64, May 2017. DOI: 10.1109/LES.2017.2700401  (339.11 KB)
Yamazaki, I., S. Tomov, and J. Dongarra, “Sampling Algorithms to Update Truncated SVD,” IEEE International Conference on Big Data, Boston, MA, IEEE, December 2017.  (700.79 KB)
Yamazaki, I., E. Chow, A. Bouteiller, and J. Dongarra, “Performance of Asynchronous Optimized Schwarz with One-sided Communication,” Parallel Computing, vol. 86, pp. 66-81, August 2019. DOI: 10.1016/j.parco.2019.05.004  (3.09 MB)

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