Publications

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Moore, S., and J. Ralph, “User-Defined Events for Hardware Performance Monitoring,” Procedia Computer Science, vol. 4: Elsevier, pp. 2096-2104, May 2011.  (361.76 KB)
Moore, K., and J. Dongarra, “NetBuild: Transparent Cross-Platform Access to Computational Software Libraries,” Concurrency and Computation: Practice and Experience, Special Issue: Grid Computing Environments, vol. 14, no. 13-15, pp. 1445-1456, November 2002.  (74.84 KB)
Moore, S., D. Arnold, and D. Cronk, “Metacomputing Support for the SARA3D Structural Acoustics Application,” Department of Defense Users' Group Conference (to appear), Biloxi, Mississippi, June 2001.  (64.58 KB)
Moore, S., A.J.. Baker, J. Dongarra, C. Halloy, and C. Ng, “Active Netlib: An Active Mathematical Software Collection for Inquiry-based Computational Science and Engineering Education,” Journal of Digital Information special issue on Interactivity in Digital Libraries, vol. 2, no. 4, 00 2002.  (182.59 KB)
Mor, O., G. Bosilca, and M. Snir, “Improving the Scaling of an Asynchronous Many-Task Runtime with a Lightweight Communication Engine,” 52nd International Conference on Parallel Processing (ICPP 2023), Salt Lake City, Utah, ACM, September 2023.
Mucci, P., D. Ahlin, J. Danielsson, P. Ekman, and L. Malinowski, “PerfMiner: Cluster-Wide Collection, Storage and Presentation of Application Level Hardware Performance Data,” European Conference on Parallel Processing (Euro-Par 2005), Monte de Caparica, Portugal, Springer, September 2005.  (205.45 KB)
Mucci, P., “Memory Bandwidth and the Performance of Scientific Applications: A Study of the AMD Opteron Processor,” 2005 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) (submitted), January 2004.  (210.29 KB)
Mucci, P., J. Dongarra, R. Kufrin, S. Moore, F. Song, and F. Wolf, “Automating the Large-Scale Collection and Analysis of Performance,” 5th LCI International Conference on Linux Clusters: The HPC Revolution, Austin, Texas, May 2004.  (511.6 KB)
Murray, R., J. Demmel, M. W. Mahoney, B. N. Erichson, M. Melnichenko, O. Asif Malik, L. Grigori, P. Luszczek, M. Dereziński, M. E. Lopes, et al., “Randomized Numerical Linear Algebra: A Perspective on the Field with an Eye to Software,” University of California, Berkeley EECS Technical Report, no. UCB/EECS-2022-258: University of California, Berkeley, November 2022.  (1.05 MB) (1.54 MB)
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Nance, D., S. Tomov, and K. Wong, “A Python Library for Matrix Algebra on GPU and Multicore Architectures,” 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS), Denver, CO, IEEE, December 2022.  (414.36 KB)
Nath, R., S. Tomov, T. Dong, and J. Dongarra, “Optimizing Symmetric Dense Matrix-Vector Multiplication on GPUs,” ACM/IEEE Conference on Supercomputing (SC’11), Seattle, WA, November 2011.  (630.63 KB)
Nath, R., J. Dongarra, S. Tomov, H. Ltaeif, and P. Du, Numerical Linear Algebra on Hybrid Architectures: Recent Developments in the MAGMA Project , Portland, Oregon, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC09), November 2009.  (1.41 MB)
Nath, R., S. Tomov, E. Agullo, and J. Dongarra, Autotuning Dense Linear Algebra Libraries on GPUs , Basel, Switzerland, Sixth International Workshop on Parallel Matrix Algorithms and Applications (PMAA 2010), June 2010.  (579.44 KB)
Nath, R., S. Tomov, and J. Dongarra, “An Improved MAGMA GEMM for Fermi GPUs,” University of Tennessee Computer Science Technical Report, no. UT-CS-10-655 (also LAPACK working note 227), July 2010.  (486.71 KB)
Nath, R., S. Tomov, and J. Dongarra, “Blas for GPUs,” Scientific Computing with Multicore and Accelerators, Boca Raton, Florida, CRC Press, 2010.  (1.05 MB)
Nath, R., S. Tomov, and J. Dongarra, “Accelerating GPU Kernels for Dense Linear Algebra,” Proc. of VECPAR'10, Berkeley, CA, June 2010.  (615.07 KB)
Nath, R., S. Tomov, and J. Dongarra, “An Improved MAGMA GEMM for Fermi GPUs,” International Journal of High Performance Computing, vol. 24, no. 4, pp. 511-515, 00 2010.
Nayak, P., T. Cojean, and H. Anzt, “Evaluating Asynchronous Schwarz Solvers on GPUs,” International Journal of High Performance Computing Applications, August 2020.
Nelson, J., “Analyzing PAPI Performance on Virtual Machines,” VMWare Technical Journal, vol. Winter 2013, January 2014.
Nelson, J., “Analyzing PAPI Performance on Virtual Machines,” ICL Technical Report, no. ICL-UT-13-02, August 2013.  (437.37 KB)
Newburn, C. J., G. Bansal, M. Wood, L. Crivelli, J. Planas, A. Duran, P. Souza, L. Borges, P. Luszczek, S. Tomov, et al., “Heterogeneous Streaming,” The Sixth International Workshop on Accelerators and Hybrid Exascale Systems (AsHES), IPDPS 2016, Chicago, IL, IEEE, May 2016.  (2.73 MB)
Ng, L., S. Chen, A. Gessinger, D. Nichols, S. Cheng, A. Meenasorna, K. Wong, S. Tomov, A. Haidar, E. D'Azevedo, et al., MagmaDNN 0.2 High-Performance Data Analytics for Manycore GPUs and CPUs : University of Tennessee, January 2019.  (7.84 MB)
Ng, L., K. Wong, A. Haidar, S. Tomov, and J. Dongarra, MagmaDNN – High-Performance Data Analytics for Manycore GPUs and CPUs , Knoxville, TN, 2017 Summer Research Experiences for Undergraduate (REU), Presentation, December 2017.  (5.06 MB)
Nichols, D., N-S. Tomov, F. Betancourt, S. Tomov, K. Wong, and J. Dongarra, “MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing,” ISC High Performance, Frankfurt, Germany, Springer International Publishing, June 2019.  (1.37 MB) (8.72 MB)
Nichols, D., K. Wong, S. Tomov, L. Ng, S. Chen, and A. Gessinger, “MagmaDNN: Accelerated Deep Learning Using MAGMA,” Practice and Experience in Advanced Research Computing (PEARC ’19), Chicago, IL, ACM, July 2019.  (1.09 MB)
Nicolae, B., J. Li, J. M. Wozniak, G. Bosilca, M. Dorier, and F. Cappello, “DeepFreeze: Towards Scalable Asynchronous Checkpointing of Deep Learning Models,” 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), Melbourne, VIC, Australia, IEEE, May 2020.  (424.19 KB)
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Palma, J., J. Dongarra, and V. Hernández, “High Performance Computing for Computational Science,” Lecture Notes in Computer Science, vol. 2565, VECPAR 2002, 5th International Conference June 26-28, 2002, Springer-Verlag, Berlin, January 2003.
Parker, S., J. Mellor-Crummey, D. H. Ahn, H. Jagode, H. Brunst, S. Shende, A. D. Malony, D. DelSignore, R. Tschuter, R. Castain, et al., “Performance Analysis and Debugging Tools at Scale,” Exascale Scientific Applications: Scalability and Performance Portability: Chapman & Hall / CRC Press, pp. 17-50, November 2017.
Patinyasakdikul, T., D. Eberius, G. Bosilca, and N. Hjelm, “Give MPI Threading a Fair Chance: A Study of Multithreaded MPI Designs,” IEEE Cluster, Albuquerque, NM, IEEE, September 2019.  (220.84 KB)
Pei, Y., G. Bosilca, I. Yamazaki, A. Ida, and J. Dongarra, “Evaluation of Programming Models to Address Load Imbalance on Distributed Multi-Core CPUs: A Case Study with Block Low-Rank Factorization,” PAW-ATM Workshop at SC19, Denver, CO, ACM, November 2019.  (4.51 MB)
Pei, Y., Q. Cao, G. Bosilca, P. Luszczek, V. Eijkhout, and J. Dongarra, “Communication Avoiding 2D Stencil Implementations over PaRSEC Task-Based Runtime,” 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), New Orleans, LA, IEEE, May 2020.  (1.33 MB)
Penchoff, D. A., C. C. Peterson, E. M. Wrancher, G. Bosilca, R. J. Harrison, E. F. Valeev, and P. D. Benny, “Evaluations of molecular modeling and machine learning for predictive capabilities in binding of lanthanum and actinium with carboxylic acids,” Journal of Radioanalytical and Nuclear Chemistry, December 2022.
Penchoff, D. A., E. Valeev, H. Jagode, P. Luszczek, A. Danalis, G. Bosilca, R. J. Harrison, J. Dongarra, and T. L. Windus, “An Introduction to High Performance Computing and Its Intersection with Advances in Modeling Rare Earth Elements and Actinides,” Rare Earth Elements and Actinides: Progress in Computational Science Applications, vol. 1388, Washington, DC, American Chemical Society, pp. 3-53, October 2021.
Penchoff, D. A., C. B. Sims, and T. L. Windus, “Rare Earth Elements and Critical Materials: Uses and Availability,” Rare Earth Elements and Actinides: Progress in Computational Science Applications, vol. 1388, Washington, DC, American Chemical Society, pp. 63-74, October 2021.
Penchoff, D. A., T. L. Windus, and C. C. Peterson, “Rare Earth Elements and Actinides: Progress in Computational Science Applications,” ACS Symposium Series, vol. 1388, Washington, DC, American Chemical Society, October 2021.
Petitet, A., H. Casanova, C. Whaley, J. Dongarra, and Y. Robert, “A Numerical Linear Algebra Problem Solving Environment Designer's Perspective (LAPACK Working Note 139),” SIAM Annual Meeting, Atlanta, GA, May 1999.  (319.71 KB)
Petitet, A., and J. Dongarra, “Algorithmic Redistribution Methods for Block Cyclic Decompositions,” IEEE Transactions on Parallel and Distributed Computing, vol. 10, no. 12, pp. 201-220, October 2002.  (524.82 KB)
Petitet, A., S. Blackford, J. Dongarra, B. Ellis, G. Fagg, K. Roche, and S. Vadhiyar, “Numerical Libraries and The Grid: The Grads Experiments with ScaLAPACK,” University of Tennessee Computer Science Technical Report, no. UT-CS-01-460, January 2001.  (91.78 KB)
Petitet, A., S. Blackford, J. Dongarra, B. Ellis, G. Fagg, K. Roche, and S. Vadhiyar, “Numerical Libraries and The Grid,” International Journal of High Performance Applications and Supercomputing, vol. 15, no. 4, pp. 359-374, January 2001.  (67.09 KB)
Petitet, A., H. Casanova, J. Dongarra, Y. Robert, and C. Whaley, “Parallel and Distributed Scientific Computing: A Numerical Linear Algebra Problem Solving Environment Designer's Perspective,” Handbook on Parallel and Distributed Processing, January 1999.  (323.01 KB)
Pjesivac–Grbovic, J., T. Angskun, G. Bosilca, G. Fagg, E. Gabriel, and J. Dongarra, “Performance Analysis of MPI Collective Operations,” 4th International Workshop on Performance Modeling, Evaluation, and Optmization of Parallel and Distributed Systems (PMEO-PDS '05), Denver, Colorado, April 2005.  (1018.28 KB)
Pjesivac–Grbovic, J., G. Fagg, T. Angskun, G. Bosilca, and J. Dongarra, “MPI Collective Algorithm Selection and Quadtree Encoding,” Lecture Notes in Computer Science, vol. 4192, no. ICL-UT-06-13: Springer Berlin / Heidelberg, pp. 40-48, September 2006.  (308.39 KB)
Pjesivac–Grbovic, J., T. Angskun, G. Bosilca, G. Fagg, E. Gabriel, and J. Dongarra, “Performance Analysis of MPI Collective Operations,” Cluster computing, vol. 10, no. 2: Springer Netherlands, pp. 127-143, June 2007.  (1018.28 KB)
Pjesivac–Grbovic, J., G. Bosilca, G. Fagg, T. Angskun, and J. Dongarra, “Decision Trees and MPI Collective Algorithm Selection Problem,” Euro-Par 2007, Rennes, France, Springer, pp. 105–115, August 2007.  (552.94 KB)
Pjesivac–Grbovic, J., T. Angskun, G. Bosilca, G. Fagg, E. Gabriel, and J. Dongarra, “Performance Analysis of MPI Collective Operations,” Cluster Computing Journal (to appear), January 2005.  (1018.28 KB)
Pjesivac–Grbovic, J., G. Fagg, T. Angskun, G. Bosilca, and J. Dongarra, “MPI Collective Algorithm Selection and Quadtree Encoding,” ICL Technical Report, no. ICL-UT-06-11, 00 2006.  (308.39 KB)
Pjesivac–Grbovic, J., G. Bosilca, G. Fagg, T. Angskun, and J. Dongarra, “MPI Collective Algorithm Selection and Quadtree Encoding,” Parallel Computing (Special Edition: EuroPVM/MPI 2006): Elsevier, 00 2007.  (308.39 KB)
Plank, J., M. Beck, J. Dongarra, R. Wolski, and H. Casanova, “Optimizing Performance and Reliability in Distributed Computing Systems Through Wide Spectrum Storage,” Proceedings of the IPDPS 2003, NGS Workshop, Nice, France, pp. 209, January 2003.
Portillo, R., P. J. Teller, D. Cronk, and S. Moore, “Making Performance Analysis and Tuning Part of the Software Development Cycle,” Proceedings of DoD HPCMP UGC 2009, San Diego, CA, IEEE, June 2009.
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Ramakrishan, L., D. Nurmi, A. Mandal, C. Koelbel, D. Gannon, M. Huang, Y-S. Kee, G. Obertelli, K. Thyagaraja, R. Wolski, et al., “VGrADS: Enabling e-Science Workflows on Grids and Clouds with Fault Tolerance,” SC’09 The International Conference for High Performance Computing, Networking, Storage and Analysis (to appear), Portland, OR, 00 2009.  (648.82 KB)

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