Publications

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Conference Proceedings
Angskun, T., G. Bosilca, G. Fagg, J. Pjesivac–Grbovic, and J. Dongarra, Reliability Analysis of Self-Healing Network using Discrete-Event Simulation,” Proceedings of Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07): IEEE Computer Society, pp. 437-444, May 2007.
Li, Y., J. Dongarra, K. Seymour, and A. YarKhan, Request Sequencing: Enabling Workflow for Efficient Problem Solving in GridSolve,” International Conference on Grid and Cooperative Computing (GCC 2008) (submitted), Shenzhen, China, October 2008.  (1.64 MB)
Arnold, D., D. Bachmann, and J. Dongarra, Request Sequencing: Optimizing Communication for the Grid,” Lecture Notes in Computer Science: Proceedings of 6th International Euro-Par Conference 2000, Parallel Processing, (Germany: Springer Verlag 2000), pp. V1900,1213-1222, January 2000.  (165.92 KB)
Fürlinger, K., M. Gerndt, and J. Dongarra, Scalability Analysis of the SPEC OpenMP Benchmarks on Large-Scale Shared Memory Multiprocessors,” Proceedings of the 2007 International Conference on Computational Science (ICCS 2007), vol. 4487-4490, Beijing, China, Springer LNCS, pp. 815-822, 2007.  (145.84 KB)
Fürlinger, K., M. Gerndt, and J. Dongarra, Scalability Analysis of the SPEC OpenMP Benchmarks on Large-Scale Shared Memory Multiprocessors,” Proceedings of the 2007 International Conference on Computational Science (ICCS 2007), vol. 4487-4490, Beijing, China, Springer LNCS, pp. 815-822, 2007.  (145.84 KB)
Bosilca, G., T. Herault, A.. Rezmerita, and J. Dongarra, On Scalability for MPI Runtime Systems,” International Conference on Cluster Computing (CLUSTER), Austin, TX, USA, IEEEE, pp. 187-195, September 2011.  (898.76 KB)
Moore, S., F. Wolf, J. Dongarra, S. Shende, A. Maloney, 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)
Browne, S., J. Dongarra, N. Garner, K. London, and P. Mucci, A Scalable Cross-Platform Infrastructure for Application Performance Tuning Using Hardware Counters,” Proceedings of SuperComputing 2000 (SC'00), Dallas, TX, November 2000.  (178.15 KB)
Fagg, G., T. Angskun, G. Bosilca, J. Pjesivac–Grbovic, and J. Dongarra, Scalable Fault Tolerant MPI: Extending the Recovery Algorithm,” Proceedings of 12th European Parallel Virtual Machine and Message Passing Interface Conference - Euro PVM/MPI, vol. 3666, Sorrento (Naples) , Italy, Springer-Verlag Berlin, pp. 67, September 2005.  (144.86 KB)
Song, F., and J. Dongarra, A Scalable Framework for Heterogeneous GPU-Based Clusters,” The 24th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2012), Pittsburgh, PA, USA, ACM, June 2012.  (3.39 MB)
Song, F., S. Moore, and J. Dongarra, A Scalable Non-blocking Multicast Scheme for Distributed DAG Scheduling,” The International Conference on Computational Science 2009 (ICCS 2009), vol. 5544, Baton Rouge, LA, pp. 195-204, May 2009.  (228.45 KB)
Bosilca, G., T. Herault, P. Lemariner, J. Dongarra, and A.. Rezmerita, Scalable Runtime for MPI: Efficiently Building the Communication Infrastructure,” Proceedings of Recent Advances in the Message Passing Interface - 18th European MPI Users' Group Meeting, EuroMPI 2011, vol. 6960, Santorini, Greece, Springer, pp. 342-344, September 2011.  (115.75 KB)
Bosilca, G., T. Herault, P. Lemariner, J. Dongarra, and A.. Rezmerita, Scalable Runtime for MPI: Efficiently Building the Communication Infrastructure,” Proceedings of Recent Advances in the Message Passing Interface - 18th European MPI Users' Group Meeting, EuroMPI 2011, vol. 6960, Santorini, Greece, Springer, pp. 342-344, September 2011.  (115.75 KB)
Beck, M., J. Dongarra, V. Eijkhout, M. Langston, T. Moore, and J. Plank, Scalable, Trustworthy Network Computing Using Untrusted Intermediaries: A Position Paper,” DOE/NSF Workshop on New Directions in Cyber-Security in Large-Scale Networks: Development Obstacles, National Conference Center - Landsdowne, Virginia, March 2003.  (54.62 KB)
Song, F., and J. Dongarra, Scaling Up Matrix Computations on Shared-Memory Manycore Systems with 1000 CPU Cores,” International conference on Supercomputing, Munich, Germany, ACM, pp. 333-342, June 2014.  (2.9 MB)
Arnold, D., S. Blackford, J. Dongarra, V. Eijkhout, and T. Xu, Seamless Access to Adaptive Solver Algorithms,” Proceedings of 16th IMACS World Congress 2000 on Scientific Computing, Applications Mathematics and Simulation, Lausanne, Switzerland, August 2000.  (151.42 KB)
Arnold, D., S. Browne, J. Dongarra, G. Fagg, and K. Moore, Secure Remote Access to Numerical Software and Computational Hardware,” Proceedings of the DoD HPC Users Group Conference (HPCUG) 2000, Albuquerque, NM, June 2000.  (172.6 KB)
Chen, Z., M. Yang, G. Francia, III, and J. Dongarra, Self Adapting Application Level Fault Tolerance for Parallel and Distributed Computing,” Proceedings of Workshop on Self Adapting Application Level Fault Tolerance for Parallel and Distributed Computing at IPDPS, pp. 1-8, March 2007.  (162.47 KB)
Demmel, J., J. Dongarra, V. Eijkhout, E. Fuentes, A. Petitet, R. Vuduc, C. Whaley, and K. Yelick, Self Adapting Linear Algebra Algorithms and Software,” IEEE Proceedings (to appear), 00-2004.  (587.67 KB)
Angskun, T., G. Bosilca, and J. Dongarra, Self-Healing in Binomial Graph Networks,” 2nd International Workshop On Reliability in Decentralized Distributed Systems (RDDS 2007), Vilamoura, Algarve, Portugal, November 2007.  (322.39 KB)
Angskun, T., G. Fagg, G. Bosilca, J. Pjesivac–Grbovic, and J. Dongarra, Self-Healing Network for Scalable Fault Tolerant Runtime Environments,” DAPSYS 2006, 6th Austrian-Hungarian Workshop on Distributed and Parallel Systems, Innsbruck, Austria, January 2006.  (162.83 KB)
Hiroyasu, T., M. Miki, K. Kodama, J. Uekawa, and J. Dongarra, A Simple Installation and Administration Tool for Large-scaled PC Cluster System,” ClusterWorld Conference and Expo, San Jose, CA, March 2003.  (275.97 KB)
Baboulin, M., S. Tomov, and J. Dongarra, Some Issues in Dense Linear Algebra for Multicore and Special Purpose Architectures,” PARA 2008, 9th International Workshop on State-of-the-Art in Scientific and Parallel Computing, Trondheim Norway, May 2008.
Hiroyasu, T., M. Miki, H. Saito, Y. Tanimura, and J. Dongarra, Static Scheduling for ScaLAPACK on the Grid Using Genetic Algorithm,” Information Processing Society of Japan Symposium Series, vol. 2003, no. 14, pp. 3-10, January 2003.  (506.42 KB)
Hadri, B., E. Agullo, and J. Dongarra, Tile QR Factorization with Parallel Panel Processing for Multicore Architectures,” 24th IEEE International Parallel and Distributed Processing Symposium (submitted), 00-2010.  (313.98 KB)
Hadri, B., H. Ltaeif, E. Agullo, and J. Dongarra, Tile QR Factorization with Parallel Panel Processing for Multicore Architectures,” accepted in 24th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2010), Atlanta, GA, December 2009.
Kennedy, K., J. Mellor-Crummey, K. Cooper, L. Torczon, F. Berman, A. Chien, D. Angulo, I. Foster, D. Gannon, L. Johnsson, et al., Toward a Framework for Preparing and Executing Adaptive Grid Programs,” International Parallel and Distributed Processing Symposium: IPDPS 2002 Workshops, Fort Lauderdale, FL, pp. 0171, April 2002.  (64.5 KB)
Canning, A., J. Dongarra, J. Langou, O. Marques, S. Tomov, C. Voemel, and L-W. Wang, Towards bulk based preconditioning for quantum dot computations,” IEEE/ACM Proceedings of HPCNano SC06 (to appear), January 2006.  (172.46 KB)
Luszczek, P., H. Ltaeif, and J. Dongarra, Two-stage Tridiagonal Reduction for Dense Symmetric Matrices using Tile Algorithms on Multicore Architectures,” IEEE International Parallel and Distributed Processing Symposium (submitted), Anchorage, AK, May 2011.
Bosilca, G., A. Bouteiller, T. Herault, P. Lemariner, N. Ohm Saengpatsa, S. Tomov, and J. Dongarra, A Unified HPC Environment for Hybrid Manycore/GPU Distributed Systems,” IEEE International Parallel and Distributed Processing Symposium (submitted), Anchorage, AK, May 2011.
Fürlinger, K., J. Dongarra, and M. Gerndt, On Using Incremental Profiling for the Performance Analysis of Shared Memory Parallel Applications,” Proceedings of the 13th International Euro-Par Conference on Parallel Processing (Euro-Par '07), Rennes, France, Springer LNCS, January 2007.
Dongarra, J., K. London, S. Moore, P. Mucci, and D. Terpstra, Using PAPI for Hardware Performance Monitoring on Linux Systems,” Conference on Linux Clusters: The HPC Revolution, Urbana, Illinois, Linux Clusters Institute, June 2001.  (422.35 KB)
Anzt, H., J. Dongarra, G. Flegar, E. S. Quintana-Ortí, and A. E. Thomas, Variable-Size Batched Gauss-Huard for Block-Jacobi Preconditioning,” International Conference on Computational Science (ICCS 2017), vol. 108, Zurich, Switzerland, Procedia Computer Science, pp. 1783-1792, June 2017.
Anzt, H., S. Tomov, J. Dongarra, and V. Heuveline, Weighted Block-Asynchronous Iteration on GPU-Accelerated Systems,” Tenth International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (Best Paper), Rhodes Island, Greece, August 2012.  (764.02 KB)
Haidar, A., Y. Jia, P. Luszczek, S. Tomov, A. YarKhan, and J. Dongarra, Weighted Dynamic Scheduling with Many Parallelism Grains for Offloading of Numerical Workloads to Multiple Varied Accelerators,” Proceedings of the 6th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA'15), vol. No. 5, Austin, TX, ACM, November 2015.  (347.6 KB)
Journal Article
,” 15th European PVM/MPI Users' Group Meeting, Recent Advances in Parallel Virtual Machine and Message Passing Interface, Lecture Notes in Computer Science, vol. 5205, Dublin Ireland, Springer Berlin, January 2008.
Dongarra, J., V. Getov, and K. Walsh, The 30th Anniversary of the Supercomputing Conference: Bringing the Future Closer—Supercomputing History and the Immortality of Now,” Computer, vol. 51, issue 10, pp. 74–85, November 2018.
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)
Baboulin, M., J. Dongarra, J. Herrmann, and S. Tomov, Accelerating Linear System Solutions Using Randomization Techniques,” ACM Transactions on Mathematical Software (also LAWN 246), vol. 39, issue 2, February 2013.  (358.79 KB)
Baboulin, M., J. Dongarra, J. Herrmann, and S. Tomov, Accelerating Linear System Solutions Using Randomization Techniques,” INRIA RR-7616 / LAWN #246 (presented at International AMMCS’11), Waterloo, Ontario, Canada, July 2011.  (358.79 KB)
Jagode, H., A. Danalis, and J. Dongarra, Accelerating NWChem Coupled Cluster through dataflow-based Execution,” The International Journal of High Performance Computing Applications, vol. 32, issue 4, pp. 540--551, July 2018.  (1.68 MB)
Jagode, H., A. Danalis, and J. Dongarra, Accelerating NWChem Coupled Cluster through Dataflow-Based Execution,” The International Journal of High Performance Computing Applications, pp. 1–13, January 2017.  (4.07 MB)
Anzt, H., M. Baboulin, J. Dongarra, Y. Fournier, F. Hulsemann, A. Khabou, and Y. Wang, Accelerating the Conjugate Gradient Algorithm with GPU in CFD Simulations,” VECPAR, 2016.
Tomov, S., R. Nath, and J. Dongarra, Accelerating the Reduction to Upper Hessenberg, Tridiagonal, and Bidiagonal Forms through Hybrid GPU-Based Computing,” Parallel Computing, vol. 36, no. 12, pp. 645-654, 00-2010.  (1.39 MB)
Dong, T., A. Haidar, S. Tomov, and J. Dongarra, Accelerating the SVD Bi-Diagonalization of a Batch of Small Matrices using GPUs,” Journal of Computational Science, vol. 26, pp. 237–245, May 2018.
Gates, M., S. Tomov, and J. Dongarra, Accelerating the SVD Two Stage Bidiagonal Reduction and Divide and Conquer Using GPUs,” Parallel Computing, vol. 74, pp. 3–18, May 2018.
Demmel, J., J. Dongarra, A. Fox, S. Williams, V. Volkov, and K. Yelick, Accelerating Time-To-Solution for Computational Science and Engineering,” SciDAC Review, 00-2009.  (739.11 KB)
Anzt, H., W. Sawyer, S. Tomov, P. Luszczek, and J. Dongarra, Acceleration of GPU-based Krylov solvers via Data Transfer Reduction,” International Journal of High Performance Computing Applications, 2015.
Dongarra, J., M. Faverge, H. Ltaeif, and P. Luszczek, Achieving numerical accuracy and high performance using recursive tile LU factorization with partial pivoting,” Concurrency and Computation: Practice and Experience, vol. 26, issue 7, pp. 1408-1431, May 2014.  (1.96 MB)
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)

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