Publications

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2012
Tomov, S., J. Dongarra, A. Haidar, I. Yamazaki, T. Dong, T. Schulthess, and R. Solcà, MAGMA: A Breakthrough in Solvers for Eigenvalue Problems , San Jose, CA, GPU Technology Conference (GTC12), Presentation, May 2012.  (9.23 MB)
Dongarra, J., T. Dong, M. Gates, A. Haidar, S. Tomov, and I. Yamazaki, MAGMA: A New Generation of Linear Algebra Library for GPU and Multicore Architectures , Salt Lake City, UT, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC12), Presentation, November 2012.  (4.69 MB)
Dongarra, J., M. Gates, Y. Jia, K. Kabir, P. Luszczek, and S. Tomov, MAGMA MIC: Linear Algebra Library for Intel Xeon Phi Coprocessors , Salt Lake City, UT, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC12), November 2012.  (6.4 MB)
Yamazaki, I., S. Tomov, and J. Dongarra, “One-Sided Dense Matrix Factorizations on a Multicore with Multiple GPU Accelerators,” The International Conference on Computational Science (ICCS), June 2012.
Kurzak, J., P. Luszczek, M. Faverge, and J. Dongarra, “Programming the LU Factorization for a Multicore System with Accelerators,” Proceedings of VECPAR’12, Kobe, Japan, April 2012.  (414.33 KB)
Du, P., S. Tomov, and J. Dongarra, “Providing GPU Capability to LU and QR within the ScaLAPACK Framework,” University of Tennessee Computer Science Technical Report (also LAWN 272), no. UT-CS-12-699, September 2012.  (7.48 MB)
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)
2011
Dongarra, J., M. Faverge, H. Ltaeif, and P. Luszczek, “Achieving Numerical Accuracy and High Performance using Recursive Tile LU Factorization,” University of Tennessee Computer Science Technical Report (also as a LAWN), no. ICL-UT-11-08, September 2011.  (618.53 KB)
Haidar, A., H. Ltaeif, A. YarKhan, and J. Dongarra, “Analysis of Dynamically Scheduled Tile Algorithms for Dense Linear Algebra on Multicore Architectures,” University of Tennessee Computer Science Technical Report, UT-CS-11-666, (also Lawn 243), March 2011.  (1.65 MB)
Kurzak, J., S. Tomov, and J. Dongarra, “Autotuning GEMMs for Fermi,” University of Tennessee Computer Science Technical Report, UT-CS-11-671, (also Lawn 245), April 2011.  (397.45 KB)
Horton, M., S. Tomov, and J. Dongarra, “A Class of Hybrid LAPACK Algorithms for Multicore and GPU Architectures,” Symposium for Application Accelerators in High Performance Computing (SAAHPC'11), Knoxville, TN, July 2011.  (329.68 KB)
Song, F., S. Tomov, and J. Dongarra, “Efficient Support for Matrix Computations on Heterogeneous Multi-core and Multi-GPU Architectures,” University of Tennessee Computer Science Technical Report, UT-CS-11-668, (also Lawn 250), June 2011.  (5.93 MB)
Dongarra, J., M. Faverge, H. Ltaeif, and P. Luszczek, “Exploiting Fine-Grain Parallelism in Recursive LU Factorization,” Proceedings of PARCO'11, no. ICL-UT-11-04, Gent, Belgium, April 2011.
Bosilca, G., A. Bouteiller, A. Danalis, M. Faverge, A. Haidar, T. Herault, J. Kurzak, J. Langou, P. Lemariner, H. Ltaeif, et al., “Flexible Development of Dense Linear Algebra Algorithms on Massively Parallel Architectures with DPLASMA,” Proceedings of the Workshops of the 25th IEEE International Symposium on Parallel and Distributed Processing (IPDPS 2011 Workshops), Anchorage, Alaska, USA, IEEE, pp. 1432-1441, May 2011.  (1.26 MB)
Dongarra, J., M. Faverge, T. Herault, J. Langou, and Y. Robert, “Hierarchical QR Factorization Algorithms for Multi-Core Cluster Systems,” University of Tennessee Computer Science Technical Report (also Lawn 257), no. UT-CS-11-684, October 2011.  (405.71 KB)
Ltaeif, H., P. Luszczek, and J. Dongarra, “High Performance Bidiagonal Reduction using Tile Algorithms on Homogeneous Multicore Architectures,” University of Tennessee Computer Science Technical Report, UT-CS-11-673, (also Lawn 247), May 2011.  (424.93 KB)
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)
Agullo, E., C. Augonnet, J. Dongarra, H. Ltaeif, R. Namyst, S. Thibault, and S. Tomov, “A Hybridization Methodology for High-Performance Linear Algebra Software for GPUs,” in GPU Computing Gems, Jade Edition, vol. 2: Elsevier, pp. 473-484, 00 2011.

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