Publications

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Haidar, A., A. YarKhan, C. Cao, P. Luszczek, S. Tomov, and J. Dongarra, “Flexible Linear Algebra Development and Scheduling with Cholesky Factorization,” 17th IEEE International Conference on High Performance Computing and Communications, Newark, NJ, August 2015.  (494.31 KB)
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)
Haidar, A., H. Jagode, A. YarKhan, P. Vaccaro, S. Tomov, and J. Dongarra, Power-Aware HPC on Intel Xeon Phi KNL Processors , Frankfurt, Germany, ISC High Performance (ISC17), Intel Booth Presentation, June 2017.  (5.87 MB)
Haidar, A., A. Abdelfattah, S. Tomov, and J. Dongarra, “High-performance Cholesky Factorization for GPU-only Execution,” Proceedings of the General Purpose GPUs (GPGPU-10), Austin, TX, ACM, February 2017.  (872.18 KB)
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.
Haidar, A., L. Giraud, H. Ben-Hadj-Ali, F. Sourbier, S. Operto, and J. Virieux, “3-D parallel frequency-domain visco-acoustic wave modelling based on a hybrid direct/iterative solver,” 73rd EAGE Conference & Exhibition incorporating SPE EUROPEC 2011, Vienna, Austria, 23-26 May, 00 2011.
Haidar, A., H. Jagode, P. Vaccaro, A. YarKhan, S. Tomov, and J. Dongarra, “Investigating Power Capping toward Energy-Efficient Scientific Applications,” Concurrency Computation: Practice and Experience, vol. 2018, issue e4485, pp. 1-14, April 2018.  (1.2 MB)
Haidar, A., S. Tomov, A. Abdelfattah, M. Zounon, and J. Dongarra, “Using GPU FP16 Tensor Cores Arithmetic to Accelerate Mixed-Precision Iterative Refinement Solvers and Reduce Energy Consumption,” ISC High Performance (ISC'18), Best Poster, Frankfurt, Germany, June 2018.  (3.01 MB)
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, May 2012.  (480.43 KB)
Haidar, A., S. Tomov, A. Abdelfattah, I. Yamazaki, and J. Dongarra, MAtrix, TEnsor, and Deep-learning Optimized Routines (MATEDOR) , Washington, DC, NSF PI Meeting, Poster, April 2018.  (2.4 MB)
Haidar, A., A. Abdelfattah, V. Dobrev, I. Karlin, T. Kolev, S. Tomov, and J. Dongarra, Accelerating Tensor Contractions for High-Order FEM on CPUs, GPUs, and KNLs , Gatlinburg, TN, moky Mountains Computational Sciences and Engineering Conference (SMC16), Poster, September 2016.  (4.29 MB)
Haidar, A., H. Bayraktar, S. Tomov, J. Dongarra, and N. J. Higham, “Mixed-Precision Solution of Linear Systems Using Accelerator-Based Computing,” Innovative Computing Laboratory Technical Report, no. ICL-UT-20-05: University of Tennessee, May 2020.  (1.03 MB)
Haidar, A., A. Abdelfattah, S. Tomov, and J. Dongarra, “Batched Matrix Computations on Hardware Accelerators Based on GPUs,” 2015 SIAM Conference on Applied Linear Algebra (SIAM LA), Atlanta, GA, SIAM, October 2015.  (9.36 MB)
Haidar, A., C. Cao, J. Dongarra, P. Luszczek, and S. Tomov, “Unified Development for Mixed Multi-GPU and Multi-Coprocessor Environments using a Lightweight Runtime Environment,” IPDPS 2014, Phoenix, AZ, IEEE, May 2014.  (1.51 MB)
Haidar, A., R. Solcà, M. Gates, S. Tomov, T. C. Schulthess, and J. Dongarra, “A Novel Hybrid CPU-GPU Generalized Eigensolver for Electronic Structure Calculations Based on Fine Grained Memory Aware Tasks,” International Journal of High Performance Computing Applications, vol. 28, issue 2, pp. 196-209, May 2014.  (1.74 MB)
Haidar, A., K. Kabir, D. Fayad, S. Tomov, and J. Dongarra, “Out of Memory SVD Solver for Big Data,” 2017 IEEE High Performance Extreme Computing Conference (HPEC'17), Waltham, MA, IEEE, September 2017.  (1.33 MB)
Hadri, B., E. Agullo, and J. Dongarra, “Tile QR Factorization with Parallel Panel Processing for Multicore Architectures,” 24th IEEE International Parallel and Distributed Processing Symposium (submitted), 00 2010.  (313.98 KB)
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, December 2009.  (464.23 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, September 2009.  (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, December 2009.
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Gustavson, F. G., J. Wasniewski, J. Dongarra, and J. Langou, “Rectangular Full Packed Format for Cholesky’s Algorithm: Factorization, Solution, and Inversion,” ACM Transactions on Mathematical Software (TOMS), vol. 37, no. 2, Atlanta, GA, April 2010.  (896.03 KB)
Gustavson, F. G., J. Wasniewski, and J. Dongarra, “Level-3 Cholesky Kernel Subroutine of a Fully Portable High Performance Minimal Storage Hybrid Format Cholesky Algorithm,” ACM TOMS (submitted), also LAPACK Working Note (LAWN) 211, 00 2010.  (190.2 KB)
Gustavson, F. G., J. Wasniewski, J. Dongarra, and J. Langou, “Rectangular Full Packed Format for Cholesky's Algorithm: Factorization, Solution and Inversion,” ACM TOMS (to appear), 00 2009.  (896.03 KB)
Gustavson, F. G., J. Wasniewski, J. Dongarra, J. Herrero, and J. Langou, “Level-3 Cholesky Factorization Routines Improve Performance of Many Cholesky Algorithms,” ACM Transactions on Mathematical Software (TOMS), vol. 39, issue 2, February 2013.  (439.46 KB)
Gustavson, F. G., J. Wasniewski, and J. Dongarra, “Rectangular Full Packed Format for Cholesky's Algorithm: Factorization, Solution and Inversion,” University of Tennessee Computer Science Technical Report, UT-CS-08-614 (also LAPACK Working Note 199), April 2008.  (896.03 KB)
Gustavson, F. G., J. Wasniewski, J. Dongarra, and J. Langou, “Rectangular Full Packed Format for Cholesky's Algorithm: Factorization, Solution and Inversion,” ACM Transactions on Mathematical Software (TOMS), vol. 37, no. 2, April 2010.  (896.03 KB)
Guidry, M., and A. Haidar, On the Design, Autotuning, and Optimization of GPU Kernels for Kinetic Network Simulations Using Fast Explicit Integration and GPU Batched Computation , Oak Ridge, TN, Joint Institute for Computational Sciences Seminar Series, Presentation, September 2015.  (17.25 MB)
Grützmacher, T., H. Anzt, and E. S. Quintana‐Ortí, “Using Ginkgo's memory accessor for improving the accuracy of memory‐bound low precision BLAS,” Software: Practice and Experience, vol. 532, issue 1, pp. 81 - 98, January Jan.
Gruetzmacher, T., T. Cojean, G. Flegar, F. Göbel, and H. Anzt, “A Customized Precision Format Based on Mantissa Segmentation for Accelerating Sparse Linear Algebra,” Concurrency and Computation: Practice and Experience, vol. 40319, issue 262, January 2019.
Abdelfattah, A., S. Tomov, and J. Dongarra, “Batch QR Factorization on GPUs: Design, Optimization, and Tuning,” Lecture Notes in Computer Science, vol. 13350, Cham, Springer International Publishing, June 2022.
Graham, R. L., G. M. Shipman, B. Barrett, R. Castain, G. Bosilca, and A. Lumsdaine, “A High-Performance, Heterogeneous MPI,” HeteroPar 2006, Barcelona, Spain, September 2006.  (193.73 KB)
Graham, R. L., G. Bosilca, and J. Pjesivac–Grbovic, “A Comparison of Application Performance Using Open MPI and Cray MPI,” Cray User Group, CUG 2007, May 2007.  (248.83 KB)
Graham, R. L., R. Brightwell, B. Barrett, G. Bosilca, and J. Pjesivac–Grbovic, “An Evaluation of Open MPI's Matching Transport Layer on the Cray XT,” EuroPVM/MPI 2007, September 2007.  (369.01 KB)
Goebel, F., H. Anzt, T. Cojean, G. Flegar, and E. S. Quintana-Orti, “Multiprecision Block-Jacobi for Iterative Triangular Solves,” European Conference on Parallel Processing (Euro-Par 2020): Springer, August 2020.
Giraud, L., A. Haidar, and S. Pralet, “Using multiple levels of parallelism to enhance the performance of domain decomposition solvers,” Parallel Computing, vol. 36, no. 5-6: Elsevier journals, pp. 285-296, 00 2010.  (418.57 KB)
Giraud, L., J. Langou, and G.. Sylvand, “On the Parallel Solution of Large Industrial Wave Propagation Problems,” Journal of Computational Acoustics (to appear), January 2005.  (1.08 MB)
Giraud, L., J. Langou, M. Rozložník, and J. van den Eshof, “Rounding Error Analysis of the Classical Gram-Schmidt Orthogonalization Process,” Numerische Mathematik, vol. 101, no. 1, pp. 87-100, January 2005.  (157.48 KB)
Giraud, L., A. Haidar, and Y. Saad, “Sparse approximations of the Schur complement for parallel algebraic hybrid solvers in 3D,” Numerical Mathematics: Theory, Methods and Applications, vol. 3, no. 3, Beijing, Golbal Science Press, pp. 64-82, 00 2010.
Ghysels, P., S. Li, A. YarKhan, and J. Dongarra, “Initial Integration and Evaluation of SLATE and STRUMPACK,” Innovative Computing Laboratory Technical Report, no. ICL-UT-18-11: University of Tennessee, December 2018.  (249.78 KB)
Gerndt, M., and K. Fürlinger, “Specification and detection of performance problems with ASL,” Concurrency and Computation: Practice and Experience, vol. 19, no. 11: John Wiley and Sons Ltd., pp. 1451-1464, January 2007.
Genet, D., A. Guermouche, and G. Bosilca, “Assembly Operations for Multicore Architectures using Task-Based Runtime Systems,” Euro-Par 2014, Porto, Portugal, Springer International Publishing, August 2014.  (481.52 KB)
Gates, M., J. Kurzak, A. Charara, A. YarKhan, and J. Dongarra, “SLATE: Design of a Modern Distributed and Accelerated Linear Algebra Library,” International Conference for High Performance Computing, Networking, Storage and Analysis (SC19), Denver, CO, ACM, November 2019.  (2.01 MB)
Gates, M., A. Charara, A. YarKhan, D. Sukkari, M. Al Farhan, and J. Dongarra, “Performance Tuning SLATE,” SLATE Working Notes, no. 14, ICL-UT-20-01: Innovative Computing Laboratory, University of Tennessee, January 2020.  (1.29 MB)
Gates, M., A. Haidar, and J. Dongarra, “Accelerating Eigenvector Computation in the Nonsymmetric Eigenvalue Problem,” VECPAR 2014, Eugene, OR, June 2014.  (199.44 KB)
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)
Gates, M., P. Luszczek, A. Abdelfattah, J. Kurzak, J. Dongarra, K. Arturov, C. Cecka, and C. Freitag, “C++ API for BLAS and LAPACK,” SLATE Working Notes, no. 02, ICL-UT-17-03: Innovative Computing Laboratory, University of Tennessee, June 2017.  (1.12 MB)
Gates, M., J. Kurzak, P. Luszczek, Y. Pei, and J. Dongarra, “Autotuning Batch Cholesky Factorization in CUDA with Interleaved Layout of Matrices,” Parallel and Distributed Processing Symposium Workshops (IPDPSW), Orlando, FL, IEEE, June 2017.
Gates, M., J. Kurzak, A. YarKhan, A. Charara, J. Finney, D. Sukkari, M. Al Farhan, I. Yamazaki, P. Wu, and J. Dongarra, SLATE Tutorial , Houston, TX, 2020 ECP Annual Meeting, February 2020.  (12.14 MB)
Gates, M., A. Charara, J. Kurzak, A. YarKhan, M. Al Farhan, D. Sukkari, and J. Dongarra, “SLATE Users' Guide,” SLATE Working Notes, no. 10, ICL-UT-19-01: Innovative Computing Laboratory, University of Tennessee, July 2020.  (1.51 MB)
Gates, M., S. Tomov, H. Anzt, P. Luszczek, and J. Dongarra, Clover: Computational Libraries Optimized via Exascale Research , Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.  (872 KB)

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