Publications

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Meek, E., J. Larkin, and J. Dongarra, Remote Software Toolkit Installer,” ICL Technical Report, no. ICL-UT-05-04, June 2005.  (490.6 KB)
Mellor-Crummey, J., P. Beckman, J. Dongarra, B. Miller, and K. Yelick, Creating Software Technology to Harness the Power of Leadership-class Computing Systems,” DOE SciDAC Review (to appear), June 2007.  (617.02 KB)
Millar, J., P. McMahan, and J. Dongarra, RIBAPI - Repository in a Box Application Programmer's Interface,” University of Tennessee Computer Science Technical Report, no. UT-CS-00-438, 00 2001.  (57.5 KB)
Miller, M., C. Moulding, J. Dongarra, and C. Johnson, Grid-Enabling Problem Solving Environments: A Case Study of SCIRUN and NetSolve,” Proceedings of the High Performance Computing Symposium (HPC 2001) in 2001 Advanced Simulation Technologies Conference, Seattle, Washington, Society for Modeling and Simulation International, April 2001.  (144.19 KB)
Mohr, B., A. Kühnal, M-A. Hermanns, and F. Wolf, Performance Analysis of One-sided Communication Mechanisms,” Mini-Symposium "Tools Support for Parallel Programming", Proceedings of Parallel Computing (ParCo), no. ICL-UT-06-07, Malaga, Spain, September 2005.  (121.49 KB)
Mohr, B., and F. Wolf, KOJAK - A Tool Set for Automatic Performance Analysis of Parallel Applications,” Proc. of the European Conference on Parallel Computing (EuroPar), vol. 2790, Klagenfurt, Austria, Springer-Verlag, pp. 1301-1304, August 2003.  (196.05 KB)
Moore, S., D. Cronk, K. London, and J. Dongarra, Review of Performance Analysis Tools for MPI Parallel Programs,” European Parallel Virtual Machine / Message Passing Interface Users’ Group Meeting, Lecture Notes in Computer Science 2131, Greece, Springer Verlag, Berlin, pp. 241-248, September 2001. DOI: 10.1007/3-540-45417-9_34  (39.61 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., F. Wolf, J. Dongarra, S. Shende, A. D. Malony, and B. Mohr, A Scalable Approach to MPI Application Performance Analysis,” In Proc. of the 12th European Parallel Virtual Machine and Message Passing Interface Conference: Springer LNCS, September 2005.  (988.58 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)
Moore, S., and J. Ralph, User-Defined Events for Hardware Performance Monitoring,” Procedia Computer Science, vol. 4: Elsevier, pp. 2096-2104, May 2011. DOI: 10.1016/j.procs.2011.04.229  (361.76 KB)
Moore, K., and J. Dongarra, NetBuild,” University of Tennessee Computer Science Technical Report, no. UT-CS-O1-461, January 2001.  (17.71 KB)
BDEC Pathways to Convergence: Toward a Shaping Strategy for a Future Software and Data Ecosystem for Scientific Inquiry,” Innovative Computing Laboratory Technical Report, no. ICL-UT-17-08: University of Tennessee, November 2017.
Moore, S., A Comparison of Counting and Sampling Modes of Using Performance Monitoring Hardware,” International Conference on Computational Science (ICCS 2002), Amsterdam, Netherlands, Springer, April 2002. DOI: 10.1007/3-540-46080-2_95  (122 KB)
Moore, S., F. Wolf, J. Dongarra, and B. Mohr, Improving Time to Solution with Automated Performance Analysis,” Second Workshop on Productivity and Performance in High-End Computing (P-PHEC) at 11th International Symposium on High Performance Computer Architecture (HPCA-2005), San Francisco, February 2005.  (112.63 KB)
Moore, K., Recommendations for Automatic Responses to Electronic Mail,” RFC 3834: Internet Engineering Task Force (IETF), January 2004.  (174.76 KB)
Moore, S., D. Cronk, F. Wolf, A. Purkayastha, P. J. Teller, R. Araiza, G. Aguilera, and J. Nava, Performance Profiling and Analysis of DoD Applications using PAPI and TAU,” Proceedings of DoD HPCMP UGC 2005, Nashville, TN, IEEE, June 2005.  (322.56 KB)
Moore, K., J. Dongarra, S. Moore, and E. Grosse, NetBuild: Automated Installation and Use of Network-Accessible Software Libraries,” ICL Technical Report, no. ICL-UT-04-02, January 2004.  (80.52 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)
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. DOI: 10.1007/11549468_1  (205.45 KB)
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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, 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, 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, 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.
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)
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., 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)
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. DOI: 10.13140/RG.2.2.14906.64961  (7.84 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)
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)
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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. DOI: 10.1201/b21930
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)
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)
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)
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)
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., 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. 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)

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