Publications

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Kurzak, J., M. Gates, A. YarKhan, I. Yamazaki, P. Luszczek, J. Finney, and J. Dongarra, Parallel Norms Performance Report,” SLATE Working Notes, no. 6, ICL-UT-18-06: Innovative Computing Laboratory, University of Tennessee, June 2018.  (1.13 MB)
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. DOI: http://doi.ieeecomputersociety.org/10.1109/TPDS.2012.242  (1.08 MB)
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. 5, ICL-UT-18-01: University of Tennessee, April 2018.  (4.39 MB)
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.
Kurzak, J., H. Ltaeif, J. Dongarra, and R. M. Badia, Scheduling Linear Algebra Operations on Multicore Processors,” University of Tennessee Computer Science Department Technical Report, UT-CS-09-636 (Also LAPACK Working Note 213), 00 2009.  (716.18 KB)
Kurzak, J., and J. Dongarra, QR Factorization for the CELL Processor,” University of Tennessee Computer Science Technical Report, UT-CS-08-616 (also LAPACK Working Note 201), May 2008.  (194.95 KB)
Kurzak, J., P. Luszczek, M. Gates, I. Yamazaki, and J. Dongarra, Virtual Systolic Array for QR Decomposition,” 15th Workshop on Advances in Parallel and Distributed Computational Models, IEEE International Parallel & Distributed Processing Symposium (IPDPS 2013), Boston, MA, IEEE, May 2013. DOI: 10.1109/IPDPS.2013.119  (749.84 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. 8, ICL-UT-18-08: Innovative Computing Laboratory, University of Tennessee, September 2018.  (1.64 MB)
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)
Kurzak, J., and J. Dongarra, QR Factorization for the CELL Processor,” Scientific Programming (to appear), 00 2009.  (234.02 KB)
Kurzak, J., M. Gates, A. Charara, A. YarKhan, and J. Dongarra, SLATE Working Note 12: Implementing Matrix Inversions,” SLATE Working Notes, no. 12, ICL-UT-19-04: Innovative Computing Laboratory, University of Tennessee, June 2019.  (1.95 MB)
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)
Kurzak, J., A. Buttari, and J. Dongarra, Solving Systems of Linear Equations on the CELL Processor Using Cholesky Factorization,” IEEE Transactions on Parallel and Distributed Systems, vol. 19, no. 9, pp. 1-11, January 2008.  (751.57 KB)
Kurzak, J., A. Buttari, and J. Dongarra, Solving Systems of Linear Equations on the CELL Processor Using Cholesky Factorization,” UT Computer Science Technical Report (Also LAPACK Working Note 184), no. UT-CS-07-596, January 2007.  (751.57 KB)
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)
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., P. Luszczek, S. Tomov, and J. Dongarra, Preliminary Results of Autotuning GEMM Kernels for the NVIDIA Kepler Architecture,” LAWN 267, 00 2012.  (1.14 MB)
Kurzak, J., H. Ltaeif, J. Dongarra, and R. M. Badia, Scheduling Dense Linear Algebra Operations on Multicore Processors,” Concurrency and Computation: Practice and Experience, vol. 22, no. 1, pp. 15-44, January 2010.  (1.23 MB)
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)
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)
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. 3, ICL-UT-17-06: Innovative Computing Laboratory, University of Tennessee, October 2017.  (2.8 MB)
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)
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.
Kurzak, J., A. Buttari, P. Luszczek, and J. Dongarra, The PlayStation 3 for High Performance Scientific Computing,” Computing in Science and Engineering, pp. 80-83, January 2008.  (2.45 MB)
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Lacoste, X., M. Faverge, P. Ramet, S. Thibault, and G. Bosilca, Taking Advantage of Hybrid Systems for Sparse Direct Solvers via Task-Based Runtimes,” 23rd International Heterogeneity in Computing Workshop, IPDPS 2014, Phoenix, AZ, IEEE, May 2014.  (807.33 KB)
Langou, J., B. Hoffman, and B. King, How LAPACK library enables Microsoft Visual Studio support with CMake and LAPACKE,” University of Tennessee Computer Science Technical Report (also LAWN 270), no. UT-CS-12-698, July 2012.  (501.53 KB)
Langou, J., Z. Chen, G. Bosilca, and J. Dongarra, Recovery Patterns for Iterative Methods in a Parallel Unstable Environment,” SIAM SISC (to appear), May 2007.  (241.36 KB)
Langou, J., and J. Dongarra, The Problem with the Linpack Benchmark Matrix Generator,” International Journal of High Performance Computing Applications, vol. 23, no. 1, pp. 5-14, 00 2009.  (136.41 KB)
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)
,” 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.
Le Fèvre, V., G. Bosilca, A. Bouteiller, T. Herault, A. Hori, Y. Robert, and J. Dongarra, Do moldable applications perform better on failure-prone HPC platforms?,” 11th Workshop on Resiliency in High Performance Computing in Clusters, Clouds, and Grids, Turin, Italy, Springer Verlag, August 2018.  (360.72 KB)
Le Fèvre, V., T. Herault, Y. Robert, A. Bouteiller, A. Hori, G. Bosilca, and J. Dongarra, Comparing the Performance of Rigid, Moldable, and Grid-Shaped Applications on Failure-Prone HPC Platforms,” Parallel Computing, vol. 85, pp. 1–12, July 2019. DOI: 10.1016/j.parco.2019.02.002  (865.18 KB)
Lee, DW., and J. Dongarra, VisPerf: Monitoring Tool for Grid Computing,” Lecture Notes in Computer Science, vol. 2659: Springer Verlag, Heidelberg, pp. 233-243, 00 2003.  (835.09 KB)
Lemariner, P., G. Bosilca, C. Coti, T. Herault, and J. Dongarra, Constructing Resilient Communication Infrastructure for Runtime Environments,” ParCo 2009, Lyon France, September 2009.
Li, Y., and J. Dongarra, Request Sequencing: Enabling Workflow for Efficient Parallel Problem Solving in GridSolve,” ICL Technical Report, no. ICL-UT-08-01, April 2008.  (1.64 MB)
Li, Y., A. YarKhan, J. Dongarra, K. Seymour, and A. Hurault, Enabling Workflows in GridSolve: Request Sequencing and Service Trading,” Journal of Supercomputing, vol. 64, issue 3, pp. 1133-1152, June 2013. DOI: 10.1007/s11227-010-0549-1  (821.29 KB)
Li, Y., J. Dongarra, and S. Tomov, A Note on Auto-tuning GEMM for GPUs,” 9th International Conference on Computational Science (ICCS 2009), no. 5544-5545, Baton Rouge, LA, pp. 884-892, May 2009. DOI: 10.1007/978-3-642-01970-8_89  (236.02 KB)
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)
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)
Lively, C., X. Wu, V. Taylor, S. Moore, H-C. Chang, and K. Cameron, Energy and performance characteristics of different parallel implementations of scientific applications on multicore systems,” International Journal of High Performance Computing Applications, vol. 25, no. 3, pp. 342-350, 00 2011.  (467.18 KB)
London, K., J. Dongarra, S. Moore, P. Mucci, K. Seymour, and T.. Spencer, End-user Tools for Application Performance Analysis, Using Hardware Counters,” International Conference on Parallel and Distributed Computing Systems, Dallas, TX, August 2001.  (306.54 KB)
London, K., S. Moore, P. Mucci, K. Seymour, and R. Luczak, The PAPI Cross-Platform Interface to Hardware Performance Counters,” Department of Defense Users' Group Conference Proceedings, Biloxi, Mississippi, June 2001.  (328.56 KB)
Lopez, M. G., V. Larrea, W. Joubert, O. Hernandez, A. Haidar, S. Tomov, and J. Dongarra, Evaluation of Directive-based Performance Portable Programming Models,” International Journal of High Performance Computing and Networking (IJHPCN), vol. (In Press).
Lopez, M. G., W. Joubert, V. Larrea, O. Hernandez, A. Haidar, S. Tomov, and J. Dongarra, Evaluation of Directive-Based Performance Portable Programming Models,” International Journal of High Performance Computing and Networking (to appear), 2019. DOI: 10.1504/IJHPCN.2017.10009064
Lopez, M. G., V. Larrea, W. Joubert, O. Hernandez, A. Haidar, S. Tomov, and J. Dongarra, Towards Achieving Performance Portability Using Directives for Accelerators,” The International Conference for High Performance Computing, Networking, Storage and Analysis (SC'16), Third Workshop on Accelerator Programming Using Directives (WACCPD), Salt Lake City, Utah, Innovative Computing Laboratory, University of Tennessee, November 2016.  (567.02 KB)
Losada, N., G. Bosilca, A. Bouteiller, P. González, and M. J. Martín, Local Rollback for Resilient MPI Applications with Application-Level Checkpointing and Message Logging,” Future Generation Computer Systems, vol. 91, pp. 450-464, February 2019. DOI: 10.1016/j.future.2018.09.041  (1.16 MB)
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)
Ltaeif, H., P. Luszczek, and J. Dongarra, Enhancing Parallelism of Tile Bidiagonal Transformation on Multicore Architectures using Tree Reduction,” Lecture Notes in Computer Science, vol. 7203, pp. 661-670, September 2012.  (185.77 KB)
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)
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)

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