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P

Kurzak, J., M. Gates, A. YarKhan, I. Yamazaki, P. Luszczek, J. Finney, and J. Dongarra, “Parallel Norms Performance Report,” SLATE Working Notes, no. 06, ICL-UT-18-06: Innovative Computing Laboratory, University of Tennessee, June 2018.

(1.13 MB)

Buttari, A., J. Dongarra, J. Kurzak, and J. Langou, “Parallel Dense Linear Algebra Software in the Multicore Era,” in Cyberinfrastructure Technologies and Applications: Nova Science Publishers, Inc., pp. 9-24, 00 2009.

Ltaeif, H., J. Kurzak, and J. Dongarra, “Parallel Block Hessenberg Reduction using Algorithms-By-Tiles for Multicore Architectures Revisited,” University of Tennessee Computer Science Technical Report, UT-CS-08-624 (also LAPACK Working Note 208), August 2008.

(420.31 KB)

Kurzak, J., M. Gates, A. YarKhan, I. Yamazaki, P. Wu, P. Luszczek, J. Finney, and J. Dongarra, “Parallel BLAS Performance Report,” SLATE Working Notes, no. 05, ICL-UT-18-01: University of Tennessee, April 2018.

(4.39 MB)

Ltaeif, H., J. Kurzak, and J. Dongarra, “Parallel Band Two-Sided Matrix Bidiagonalization for Multicore Architectures,” IEEE Transactions on Parallel and Distributed Systems, pp. 417-423, April 2010.

(208.16 KB)

Ltaeif, H., J. Kurzak, and J. Dongarra, “Parallel Band Two-Sided Matrix Bidiagonalization for Multicore Architectures,” IEEE Transactions on Parallel and Distributed Systems (to appear), May 2009.

(208.16 KB)

O

Alvaro, W., J. Kurzak, and J. Dongarra, “Optimizing Matrix Multiplication for a Short-Vector SIMD Architecture - CELL Processor,” Parallel Computing, vol. 35, pp. 138-150, 00 2009.

(591.16 KB)

N

Agullo, E., J. Demmel, J. Dongarra, B. Hadri, J. Kurzak, J. Langou, H. Ltaeif, P. Luszczek, R. Nath, S. Tomov, et al., Numerical Linear Algebra on Emerging Architectures: The PLASMA and MAGMA Projects , Portland, OR, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC09), November 2009.

(3.53 MB)

Agullo, E., J. Demmel, J. Dongarra, B. Hadri, J. Kurzak, J. Langou, H. Ltaeif, P. Luszczek, and S. Tomov, “Numerical Linear Algebra on Emerging Architectures: The PLASMA and MAGMA Projects,” Journal of Physics: Conference Series, vol. 180, 00 2009.

(119.37 KB)

M

Kurzak, J., P. Luszczek, A. YarKhan, M. Faverge, J. Langou, H. Bouwmeester, and J. Dongarra, “Multithreading in the PLASMA Library,” Multi and Many-Core Processing: Architecture, Programming, Algorithms, & Applications: Taylor & Francis, 00 2013.

(536.28 KB)

Buttari, A., J. Dongarra, P. Husbands, J. Kurzak, and K. Yelick, “Multithreading for synchronization tolerance in matrix factorization,” Journal of Physics: Conference Series, SciDAC 2007, vol. 78, no. 2007, January 2007.

(577.73 KB)

Dongarra, J., A. Haidar, J. Kurzak, P. Luszczek, S. Tomov, and A. YarKhan, “Model-Driven One-Sided Factorizations on Multicore, Accelerated Systems,” Supercomputing Frontiers and Innovations, vol. 1, issue 1, 2014.

(1.86 MB)

Yamazaki, I., J. Barlow, S. Tomov, J. Kurzak, and J. Dongarra, “Mixed-precision orthogonalization process Performance on multicore CPUs with GPUs,” 2015 SIAM Conference on Applied Linear Algebra, Atlanta, GA, SIAM, October 2015.

(301.01 KB)

Yamazaki, I., S. Tomov, J. Kurzak, J. Dongarra, and J. Barlow, “Mixed-precision Block Gram Schmidt Orthogonalization,” 6th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, Austin, TX, ACM, November 2015.

(235.69 KB)

Buttari, A., J. Dongarra, J. Langou, J. Langou, P. Luszczek, and J. Kurzak, “Mixed Precision Iterative Refinement Techniques for the Solution of Dense Linear Systems,” International Journal of High Performance Computer Applications (to appear), August 2007.

(157.4 KB)

Kurzak, J., Y. Tsai, M. Gates, A. Abdelfattah, and J. Dongarra, “Massively Parallel Automated Software Tuning,” 48th International Conference on Parallel Processing (ICPP 2019), Kyoto, Japan, ACM Press, August 2019.

(911.88 KB)

Anzt, H., E. Boman, J. Dongarra, G. Flegar, M. Gates, M. Heroux, M. Hoemmen, J. Kurzak, P. Luszczek, S. Rajamanickam, et al., “MAGMA-sparse Interface Design Whitepaper,” Innovative Computing Laboratory Technical Report, no. ICL-UT-17-05, September 2017.

(1.28 MB)

L

Kurzak, J., P. Luszczek, and J. Dongarra, “LU Factorization with Partial Pivoting for a Multicore System with Accelerators,” IEEE Transactions on Parallel and Distributed Computing, vol. 24, issue 8, pp. 1613-1621, August 2013.

(1.08 MB)

Luszczek, P., J. Kurzak, and J. Dongarra, “Looking Back at Dense Linear Algebra Software,” Journal of Parallel and Distributed Computing, vol. 74, issue 7, pp. 2548–2560, July 2014.

(1.79 MB)

Luszczek, P., J. Kurzak, and J. Dongarra, “Looking Back at Dense Linear Algebra Software,” Perspectives on Parallel and Distributed Processing: Looking Back and What's Ahead (to appear), 00 2012.

(235.91 KB)

Kurzak, J., M. Gates, I. Yamazaki, A. Charara, A. YarKhan, J. Finney, G. Ragghianti, P. Luszczek, and J. Dongarra, “Linear Systems Performance Report,” SLATE Working Notes, no. 08, ICL-UT-18-08: Innovative Computing Laboratory, University of Tennessee, September 2018.

(1.64 MB)

Abdelfattah, A., H. Anzt, J. Dongarra, M. Gates, A. Haidar, J. Kurzak, P. Luszczek, S. Tomov, , and A. YarKhan, “Linear Algebra Software for Large-Scale Accelerated Multicore Computing,” Acta Numerica, vol. 25, pp. 1-160, May 2016.

Buttari, A., J. Dongarra, and J. Kurzak, “Limitations of the Playstation 3 for High Performance Cluster Computing,” University of Tennessee Computer Science Technical Report, UT-CS-07-597 (Also LAPACK Working Note 185), 00 2007.

(171.01 KB)

Kurzak, J., M. Gates, A. Charara, A. YarKhan, and J. Dongarra, “Least Squares Solvers for Distributed-Memory Machines with GPU Accelerators,” ACM International Conference on Supercomputing (ICS '19), Phoenix, Arizona, ACM, pp. 117–126, June 2019.

(1.63 MB)

Gates, M., A. Charara, J. Kurzak, A. YarKhan, I. Yamazaki, and J. Dongarra, “Least Squares Performance Report,” SLATE Working Notes, no. 09, ICL-UT-18-10: Innovative Computing Laboratory, University of Tennessee, December 2018.

(1.76 MB)

I

Haidar, A., P. Luszczek, J. Kurzak, and J. Dongarra, “An Improved Parallel Singular Value Algorithm and Its Implementation for Multicore Hardware,” University of Tennessee Computer Science Technical Report (also LAWN 283), no. ut-eecs-13-720: University of Tennessee, October 2013.

(1.23 MB)

Haidar, A., P. Luszczek, J. Kurzak, and J. Dongarra, “An Improved Parallel Singular Value Algorithm and Its Implementation for Multicore Hardware,” Supercomputing 2013, Denver, CO, November 2013.

Kurzak, J., and J. Dongarra, “Implementing Linear Algebra Routines on Multi-Core Processors with Pipelining and a Look Ahead,” University of Tennessee Computer Science Tech Report, UT-CS-06-581, LAPACK Working Note #178, January 2006.

(304.4 KB)

Aupy, G., M. Faverge, Y. Robert, J. Kurzak, P. Luszczek, and J. Dongarra, “Implementing a systolic algorithm for QR factorization on multicore clusters with PaRSEC,” Lawn 277, no. UT-CS-13-709, May 2013.

(298.63 KB)

Kurzak, J., R. Nath, P. Du, and J. Dongarra, “An Implementation of the Tile QR Factorization for a GPU and Multiple CPUs,” Applied Parallel and Scientific Computing, vol. 7133, pp. 248-257, 00 2012.

(623.5 KB)

Kurzak, J., and J. Dongarra, “Implementation of the Mixed-Precision High Performance LINPACK Benchmark on the CELL Processor,” University of Tennessee Computer Science Tech Report, no. UT-CS-06-580, LAPACK Working Note #177, September 2006.

(506.18 KB)

Abdelfattah, A., M. Gates, J. Kurzak, P. Luszczek, and J. Dongarra, “Implementation of the C++ API for Batch BLAS,” SLATE Working Notes, no. 07, ICL-UT-18-04: Innovative Computing Laboratory, University of Tennessee, June 2018.

(1.07 MB)

Kurzak, J., and J. Dongarra, “Implementation of Mixed Precision in Solving Systems of Linear Equations on the Cell Processor,” Concurrency and Computation: Practice and Experience, vol. 19, no. 10, pp. 1371-1385, July 2007.

(453.78 KB)

Kurzak, J., H. Anzt, M. Gates, and J. Dongarra, “Implementation and Tuning of Batched Cholesky Factorization and Solve for NVIDIA GPUs,” IEEE Transactions on Parallel and Distributed Systems, no. 1045-9219, November 2015.

Buttari, A., J. Dongarra, J. Kurzak, J. Langou, P. Luszczek, and S. Tomov, “The Impact of Multicore on Math Software,” PARA 2006, Umea, Sweden, June 2006.

(223.53 KB)

F

Kurzak, J., and J. Dongarra, “Fully Dynamic Scheduler for Numerical Computing on Multicore Processors,” University of Tennessee Computer Science Department Technical Report, UT-CS-09-643 (Also LAPACK Working Note 220), 00 2009.

(488.24 KB)

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)

Alvaro, W., J. Kurzak, and J. Dongarra, “Fast and Small Short Vector SIMD Matrix Multiplication Kernels for the CELL Processor,” University of Tennessee Computer Science Technical Report, no. UT-CS-08-609, (also LAPACK Working Note 189), January 2008.

(500.99 KB)

E

Langou, J., J. Langou, P. Luszczek, J. Kurzak, A. Buttari, and J. Dongarra, “Exploiting the Performance of 32 bit Floating Point Arithmetic in Obtaining 64 bit Accuracy,” University of Tennessee Computer Science Tech Report, no. UT-CS-06-574, LAPACK Working Note #175, April 2006.

(221.39 KB)

Buttari, A., J. Dongarra, J. Kurzak, J. Langou, J. Langou, P. Luszczek, and S. Tomov, “Exploiting Mixed Precision Floating Point Hardware in Scientific Computations,” in High Performance Computing and Grids in Action, Amsterdam, IOS Press, January 2008.

(92.95 KB)

Buttari, A., J. Dongarra, J. Kurzak, J. Langou, J. Langou, P. Luszczek, and S. Tomov, “Exploiting Mixed Precision Floating Point Hardware in Scientific Computations,” In High Performance Computing and Grids in Action (to appear), Amsterdam, IOS Press, 00 2007.

(122.01 KB)

Anzt, H., B. Haugen, J. Kurzak, P. Luszczek, and J. Dongarra, “Experiences in Autotuning Matrix Multiplication for Energy Minimization on GPUs,” Concurrency and Computation: Practice and Experience, vol. 27, issue 17, pp. 5096 - 5113, Oct 12, 2015.

(1.99 MB)

Anzt, H., B. Haugen, J. Kurzak, P. Luszczek, and J. Dongarra, “Experiences in autotuning matrix multiplication for energy minimization on GPUs,” Concurrency in Computation: Practice and Experience, vol. 27, issue 17, pp. 5096-5113, December 2015.

(1.98 MB)

YarKhan, A., J. Kurzak, A. Abdelfattah, and J. Dongarra, “An Empirical View of SLATE Algorithms on Scalable Hybrid System,” Innovative Computing Laboratory Technical Report, no. ICL-UT-19-08: University of Tennessee, Knoxville, September 2019.

(441.16 KB)

D

Bosilca, G., A. Bouteiller, A. Danalis, M. Faverge, A. Haidar, T. Herault, J. Kurzak, J. Langou, P. Lemariner, H. Ltaeif, et al., “Distributed-Memory Task Execution and Dependence Tracking within DAGuE and the DPLASMA Project,” Innovative Computing Laboratory Technical Report, no. ICL-UT-10-02, 00 2010.

(400.75 KB)

Bosilca, G., A. Bouteiller, A. Danalis, M. Faverge, A. Haidar, T. Herault, J. Kurzak, J. Langou, P. Lemariner, H. Ltaeif, et al., “Distributed Dense Numerical Linear Algebra Algorithms on Massively Parallel Architectures: DPLASMA,” University of Tennessee Computer Science Technical Report, UT-CS-10-660, September 2010.

(366.26 KB)

Kurzak, J., P. Wu, M. Gates, I. Yamazaki, P. Luszczek, G. Ragghianti, and J. Dongarra, “Designing SLATE: Software for Linear Algebra Targeting Exascale,” SLATE Working Notes, no. 03, ICL-UT-17-06: Innovative Computing Laboratory, University of Tennessee, October 2017.

(2.8 MB)

Kurzak, J., P. Luszczek, I. Yamazaki, Y. Robert, and J. Dongarra, “Design and Implementation of the PULSAR Programming System for Large Scale Computing,” Supercomputing Frontiers and Innovations, vol. 4, issue 1, 2017.

(764.96 KB)

Yamazaki, I., J. Kurzak, P. Luszczek, and J. Dongarra, “Design and Implementation of a Large Scale Tree-Based QR Decomposition Using a 3D Virtual Systolic Array and a Lightweight Runtime,” Workshop on Large-Scale Parallel Processing, IPDPS 2014, Phoenix, AZ, IEEE, May 2014.

(398.16 KB)

Kurzak, J., H. Ltaeif, J. Dongarra, and R. M. Badia, “Dependency-Driven Scheduling of Dense Matrix Factorizations on Shared-Memory Systems,” PPAM 2009, Poland, September 2009.

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