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2011

Chaarawi, M., E. Gabriel, R. Keller, R. L. Graham, G. Bosilca, and J. Dongarra, “OMPIO: A Modular Software Architecture for MPI I/O,” 18th EuroMPI, Santorini, Greece, Springer, pp. 81-89, September 2011.

Coulomb, K., A. Degomme, M. Faverge, and F. Trahay, “An open-source tool-chain for performance analysis,” Parallel Tools Workshop, Dresden, Germany, September 2011.

(622.1 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)

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.

Agullo, E., L. Giraud, A. Guermouche, A. Haidar, and J. Roman, “Parallel algebraic domain decomposition solver for the solution of augmented systems.,” Parallel, Distributed, Grid and Cloud Computing for Engineering, Ajaccio, Corsica, France, 12-15 April, 00 2011.

Malony, A. D., S. Biersdorff, S. Shende, H. Jagode, S. Tomov, G. Juckeland, R. Dietrich, D. Poole, and C. Lamb, “Parallel Performance Measurement of Heterogeneous Parallel Systems with GPUs,” International Conference on Parallel Processing (ICPP'11), Taipei, Taiwan, ACM, September 2011.

(1.41 MB)

Haidar, A., H. Ltaeif, and J. Dongarra, “Parallel Reduction to Condensed Forms for Symmetric Eigenvalue Problems using Aggregated Fine-Grained and Memory-Aware Kernels,” Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC11), Seattle, WA, November 2011.

(636.01 KB)

Haidar, A., H. Ltaeif, and J. Dongarra, “Parallel Reduction to Condensed Forms for Symmetric Eigenvalue Problems using Aggregated Fine-Grained and Memory-Aware Kernels,” University of Tennessee Computer Science Technical Report, UT-CS-11-677, (also Lawn254), August 2011.

(636.01 KB)

Baboulin, M., D. Becker, and J. Dongarra, “A parallel tiled solver for dense symmetric indefinite systems on multicore architectures,” University of Tennessee Computer Science Technical Report, no. ICL-UT-11-07, October 2011.

(544.2 KB)

Dongarra, J., “Performance of Various Computers Using Standard Linear Equations Software (Linpack Benchmark Report),” University of Tennessee Computer Science Technical Report, no. CS-89-85, 00 2011.

(6.42 MB)

Bosilca, G., A. Bouteiller, T. Herault, P. Lemariner, N. Ohm Saengpatsa, S. Tomov, and J. Dongarra, “Performance Portability of a GPU Enabled Factorization with the DAGuE Framework,” IEEE Cluster: workshop on Parallel Programming on Accelerator Clusters (PPAC), June 2011.

(290.98 KB)

Kasichayanula, K., H. You, S. Moore, S. Tomov, H. Jagode, and M. Johnson, Power-aware Computing on GPGPUs , Gatlinburg, TN, Fall Creek Falls Conference, Poster, September 2011.

(2.89 MB)

Lively, C., X. Wu, V. Taylor, S. Moore, H-C. Chang, C-Y. Su, and K. Cameron, “Power-Aware Prediction Models of Hybrid (MPI/OpenMP) Scientific Applications,” International Conference on Energy-Aware High Performance Computing (EnA-HPC 2011), Hamburg, Germany, September 2011.

(479.49 KB)

Ma, T., T. Herault, G. Bosilca, and J. Dongarra, “Process Distance-aware Adaptive MPI Collective Communications,” IEEE Int'l Conference on Cluster Computing (Cluster 2011), Austin, Texas, 00 2011.

Ltaeif, H., P. Luszczek, and J. Dongarra, “Profiling High Performance Dense Linear Algebra Algorithms on Multicore Architectures for Power and Energy Efficiency,” International Conference on Energy-Aware High Performance Computing (EnA-HPC 2011), Hamburg, Germany, September 2011.

(1.27 MB)

Agullo, E., C. Coti, T. Herault, J. Langou, S. Peyronnet, A.. Rezmerita, F. Cappello, and J. Dongarra, “QCG-OMPI: MPI Applications on Grids.,” Future Generation Computer Systems, vol. 27, no. 4, pp. 435-369, January 2011.

(1.48 MB)

YarKhan, A., J. Kurzak, and J. Dongarra, “QUARK Users' Guide: QUeueing And Runtime for Kernels,” University of Tennessee Innovative Computing Laboratory Technical Report, no. ICL-UT-11-02, 00 2011.

(247.12 KB)

Becker, D., M. Baboulin, and J. Dongarra, “Reducing the Amount of Pivoting in Symmetric Indefinite Systems,” University of Tennessee Innovative Computing Laboratory Technical Report, no. ICL-UT-11-06, Knoxville, TN, Submitted to PPAM 2011, May 2011.

(145.76 KB)

Bosilca, G., T. Herault, A.. Rezmerita, and J. Dongarra, “On Scalability for MPI Runtime Systems,” University of Tennessee Computer Science Technical Report, no. ICL-UT-11-05, Knoxville, TN, May 2011.

(898.76 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)

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)

Du, P., P. Luszczek, S. Tomov, and J. Dongarra, “Soft Error Resilient QR Factorization for Hybrid System,” University of Tennessee Computer Science Technical Report, no. UT-CS-11-675, Knoxville, TN, July 2011.

(1.39 MB)

Du, P., P. Luszczek, S. Tomov, and J. Dongarra, “Soft Error Resilient QR Factorization for Hybrid System,” UT-CS-11-675 (also LAPACK Working Note #252), no. ICL-CS-11-675, July 2011.

(1.39 MB)

Du, P., P. Luszczek, S. Tomov, and J. Dongarra, “Soft Error Resilient QR Factorization for Hybrid System with GPGPU,” Journal of Computational Science, Seattle, WA, Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems at SC11, November 2011.

(965.88 KB)

Sourbier, F., A. Haidar, L. Giraud, H. Ben-Hadj-Ali, S. Operto, and J. Virieux, “Three-dimensional parallel frequency-domain visco-acoustic wave modelling based on a hybrid direct/iterative solver.,” To appear in Geophysical Prospecting journal., 00 2011.

(1.04 MB)

Haidar, A., H. Ltaeif, and J. Dongarra, “Toward High Performance Divide and Conquer Eigensolver for Dense Symmetric Matrices.,” Submitted to SIAM Journal on Scientific Computing (SISC), 00 2011.

Becker, D., M. Faverge, and J. Dongarra, “Towards a Parallel Tile LDL Factorization for Multicore Architectures,” ICL Technical Report, no. ICL-UT-11-03, Seattle, WA, April 2011.

(425.45 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.

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)

2010

“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.

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)

Tomov, S., G. Bosilca, and C. Augonnet, Accelerating Linear Algebra on Heterogeneous Architectures of Multicore and GPUs using MAGMA and DPLASMA and StarPU Schedulers : 2010 Symposium on Application Accelerators in. High-Performance Computing (SAAHPC'10), Tutorial, July 2010.

(499.51 KB)

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)

Haidar, A., H. Ltaeif, A. YarKhan, and J. Dongarra, “Analysis of Dynamically Scheduled Tile Algorithms for Dense Linear Algebra on Multicore Architectures,” Submitted to Concurrency and Computations: Practice and Experience, November 2010.

(1.65 MB)

Luszczek, P., and J. Dongarra, “Analysis of Various Scalar, Vector, and Parallel Implementations of RandomAccess,” Innovative Computing Laboratory (ICL) Technical Report, no. ICL-UT-10-03, June 2010.

(226.9 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)

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)

Buttari, A., J. Langou, J. Kurzak, and J. Dongarra, “A Class of Parallel Tiled Linear Algebra Algorithms for Multicore Architectures,” Parallel Computing (to appear), 00 2010.

(612.23 KB)

Terpstra, D., H. Jagode, H. You, and J. Dongarra, “Collecting Performance Data with PAPI-C,” Tools for High Performance Computing 2009, 3rd Parallel Tools Workshop, Dresden, Germany, Springer Berlin / Heidelberg, pp. 157-173, May 2010.

(4.45 MB)

Bosilca, G., C. Coti, T. Herault, P. Lemariner, and J. Dongarra, “Constructing Resiliant Communication Infrastructure for Runtime Environments in Advances in Parallel Computing,” Advances in Parallel Computing - Parallel Computing: From Multicores and GPU's to Petascale, vol. 19, pp. 441-451, 2010.

Bosilca, G., A. Bouteiller, A. Danalis, T. Herault, P. Lemariner, and J. Dongarra, “DAGuE: A generic distributed DAG engine for high performance computing,” Innovative Computing Laboratory Technical Report, no. ICL-UT-10-01, April 2010.

(830.85 KB)

Tomov, S., and J. Dongarra, “Dense Linear Algebra for Hybrid GPU-based Systems,” Scientific Computing with Multicore and Accelerators, Boca Raton, Florida, CRC Press, 2010.

Tomov, S., R. Nath, H. Ltaeif, and J. Dongarra, “Dense Linear Algebra Solvers for Multicore with GPU Accelerators,” Parallel Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on, Atlanta, GA, pp. 1-8, 2010.

(1 MB)

Tomov, S., Dense Linear Algebra Solvers for Multicore with GPU Accelerators , Atlanta, GA, International Parallel and Distributed Processing Symposium (IPDPS 2010), April 2010.

(956.68 KB)