Publications

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2008
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), 20August 08.  (420.31 KB)
2009
Agullo, E., B. Hadri, H. Ltaeif, and J. Dongarra, Comparative Study of One-Sided Factorizations with Multiple Software Packages on Multi-Core Hardware,” 2009 International Conference for High Performance Computing, Networking, Storage, and Analysis (SC '09) (to appear), 20September 00.  (515.63 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, 20September 09.
Hadri, B., H. Ltaeif, E. Agullo, and J. Dongarra, Enhancing Parallelism of Tile QR Factorization for Multicore Architectures,” Submitted to Transaction on Parallel and Distributed Systems, 20September 12.  (464.23 KB)
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), 20September 11.  (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, 20September 00.  (119.37 KB)
Nath, R., J. Dongarra, S. Tomov, H. Ltaeif, and P. Du, Numerical Linear Algebra on Hybrid Architectures: Recent Developments in the MAGMA Project , Portland, Oregon, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC09), 20September 11.  (1.41 MB)
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), 20September 05.  (208.16 KB)
Kurzak, J., H. Ltaeif, J. Dongarra, and R. M. Badia, Scheduling Linear Algebra Operations on Multicore Processors,” Concurrency Practice and Experience (to appear), 20September 00.  (716.18 KB)
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), 20September 00.  (716.18 KB)
Hadri, B., H. Ltaeif, E. Agullo, and J. Dongarra, Tall and Skinny QR Matrix Factorization Using Tile Algorithms on Multicore Architectures,” Innovative Computing Laboratory Technical Report (also LAPACK Working Note 222 and CS Tech Report UT-CS-09-645), no. ICL-UT-09-03, 20September 09.  (464.23 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, 20September 12.
2010
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, 20October 11.  (1.65 MB)
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. DOI: 10.1109/IPDPSW.2010.5470941  (1 MB)
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, 20October 09.  (366.26 KB)
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, 20October 00.  (400.75 KB)
Agullo, E., C. Augonnet, J. Dongarra, H. Ltaeif, R. Namyst, S. Thibault, and S. Tomov, Faster, Cheaper, Better - A Hybridization Methodology to Develop Linear Algebra Software for GPUs,” LAPACK Working Note, no. 230, 20October 00.  (334.48 KB)
Ltaeif, H., S. Tomov, R. Nath, and J. Dongarra, Hybrid Multicore Cholesky Factorization with Multiple GPU Accelerators,” IEEE Transaction on Parallel and Distributed Systems (submitted), 20October 03.  (3.75 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, 20October 04.  (208.16 KB)
Agullo, E., C. Augonnet, J. Dongarra, M. Faverge, H. Ltaeif, S. Thibault, and S. Tomov, QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators,” Proceedings of IPDPS 2011, no. ICL-UT-10-04, Anchorage, AK, 20October 10.  (468.17 KB)
Ltaeif, H., S. Tomov, R. Nath, P. Du, and J. Dongarra, A Scalable High Performant Cholesky Factorization for Multicore with GPU Accelerators,” Proc. of VECPAR'10 (to appear), Berkeley, CA, 20October 06.  (870.46 KB)
Song, F., H. Ltaeif, B. Hadri, and J. Dongarra, Scalable Tile Communication-Avoiding QR Factorization on Multicore Cluster Systems,” University of Tennessee Computer Science Technical Report, vol. –10-653, 20October 04.  (3.42 MB)
Song, F., H. Ltaeif, B. Hadri, and J. Dongarra, Scalable Tile Communication-Avoiding QR Factorization on Multicore Cluster Systems,” SC'10, New Orleans, LA, ACM SIGARCH/ IEEE Computer Society, 20October 11.  (3.42 MB)
Agullo, E., C. Augonnet, J. Dongarra, H. Ltaeif, R. Namyst, R. Nath, J. Roman, S. Thibault, and S. Tomov, Scheduling Cholesky Factorization on Multicore Architectures with GPU Accelerators , Knoxville, TN, 2010 Symposium on Application Accelerators in High-Performance Computing (SAAHPC'10), Poster, 20October 07.  (3.86 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, 20October 01.  (1.23 MB)
Ltaeif, H., J. Kurzak, J. Dongarra, and R. M. Badia, Scheduling Two-sided Transformations using Tile Algorithms on Multicore Architectures,” Journal of Scientific Computing, vol. 18, no. 1, pp. 33-50, 20October 00.  (334.5 KB)
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, 20November 09.  (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), 20November 00.  (1.65 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, 20November 04.
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, 20November 05.  (1.26 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), 20November 05.  (424.93 KB)
Dongarra, J., M. Faverge, H. Ltaeif, and P. Luszczek, High Performance Matrix Inversion Based on LU Factorization for Multicore Architectures,” Proceedings of MTAGS11, Seattle, WA, 20November 11.  (879.49 KB)
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, 20November 00.
Agullo, E., C. Augonnet, J. Dongarra, M. Faverge, J. Langou, H. Ltaeif, and S. Tomov, LU Factorization for Accelerator-Based Systems,” IEEE/ACS AICCSA 2011, Sharm-El-Sheikh, Egypt, 20November 12.  (234.86 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,” Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC11), Seattle, WA, 20November 11.  (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), 20November 08.  (636.01 KB)
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, 20November 09.  (1.27 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), 20November 00.
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, 20November 05.
2012
Haidar, A., H. Ltaeif, P. Luszczek, and J. Dongarra, A Comprehensive Study of Task Coalescing for Selecting Parallelism Granularity in a Two-Stage Bidiagonal Reduction,” IPDPS 2012, Shanghai, China, 20December 05.  (480.43 KB)
Dongarra, J., H. Ltaeif, P. Luszczek, and V. M. Weaver, Energy Footprint of Advanced Dense Numerical Linear Algebra using Tile Algorithms on Multicore Architecture,” The 2nd International Conference on Cloud and Green Computing (submitted), Xiangtan, Hunan, China, 20December 11.  (329.5 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, 20December 09.  (185.77 KB)
Agullo, E., G. Bosilca, C. Castagnède, J. Dongarra, H. Ltaeif, and S. Tomov, Matrices Over Runtime Systems at Exascale,” Supercomputing '12 (poster), Salt Lake City, Utah, 20December 11.
Abdelfattah, A., J. Dongarra, D. Keyes, and H. Ltaeif, Optimizing Memory-Bound Numerical Kernels on GPU Hardware Accelerators,” VECPAR 2012, Kobe, Japan, 20December 07.  (737.28 KB)
Bosilca, G., J. Dongarra, and H. Ltaeif, Power Profiling of Cholesky and QR Factorizations on Distributed Memory Systems,” Third International Conference on Energy-Aware High Performance Computing, Hamburg, Germany, 20December 09.  (290.27 KB)
Haidar, A., H. Ltaeif, and J. Dongarra, Toward High Performance Divide and Conquer Eigensolver for Dense Symmetric Matrices,” SIAM Journal on Scientific Computing (Accepted), 20December 07.
2013
Ltaeif, H., P. Luszczek, and J. Dongarra, High Performance Bidiagonal Reduction using Tile Algorithms on Homogeneous Multicore Architectures,” ACM Transactions on Mathematical Software (TOMS), vol. 39, issue 3, no. 16, 2013. DOI: 10.1145/2450153.2450154  (665.7 KB)
2014
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, 2014-05. DOI: 10.1002/cpe.3110  (1.96 MB)