Publications

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Haidar, A., B. Brock, S. Tomov, M. Guidry, J. Jay Billings, D. Shyles, and J. Dongarra, Performance Analysis and Acceleration of Explicit Integration for Large Kinetic Networks using Batched GPU Computations,” 2016 IEEE High Performance Extreme Computing Conference (HPEC ‘16), Waltham, MA, IEEE, September 2016.  (480.29 KB)
Haidar, A., P. Luszczek, S. Tomov, and J. Dongarra, Batched Matrix Computations on Hardware Accelerators,” EuroMPI/Asia 2015 Workshop, Bordeaux, France, September 2015.  (589.05 KB)
Haidar, A., A. Abdelfattah, M. Zounon, P. Wu, S. Pranesh, S. Tomov, and J. Dongarra, The Design of Fast and Energy-Efficient Linear Solvers: On the Potential of Half-Precision Arithmetic and Iterative Refinement Techniques,” International Conference on Computational Science (ICCS 2018), vol. 10860, Wuxi, China, Springer, pp. 586–600, June 2018.
Haidar, A., T. Dong, P. Luszczek, S. Tomov, and J. Dongarra, Batched matrix computations on hardware accelerators based on GPUs,” International Journal of High Performance Computing Applications, February 2015.  (2.16 MB)
Haidar, A., P. Luszczek, S. Tomov, and J. Dongarra, Heterogeneous Acceleration for Linear Algebra in Mulit-Coprocessor Environments,” VECPAR 2014, Eugene, OR, June 2014.  (276.52 KB)
Haidar, A., S. Tomov, K. Arturov, M. Guney, S. Story, and J. Dongarra, LU, QR, and Cholesky Factorizations: Programming Model, Performance Analysis and Optimization Techniques for the Intel Knights Landing Xeon Phi,” IEEE High Performance Extreme Computing Conference (HPEC'16), Waltham, MA, IEEE, September 2016.  (943.23 KB)
Haidar, A., J. Dongarra, K. Kabir, M. Gates, P. Luszczek, S. Tomov, and Y. Jia, HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi,” Scientific Programming, vol. 23, issue 1, January 2015.  (553.94 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, Enhancing Parallelism of Tile QR Factorization for Multicore Architectures,” Submitted to Transaction on Parallel and Distributed Systems, December 2009.  (464.23 KB)
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, 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, 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 Transactions on Mathematical Software (TOMS), vol. 37, no. 2, Atlanta, GA, April 2010.  (896.03 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 TOMS (to appear), 00-2009.  (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)
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)
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)
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)
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.
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)
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, 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., S. Tomov, and A. Haidar, Comparing Hybrid CPU-GPU and Native GPU-only Acceleration for Linear Algebra,” 2015 SIAM Conference on Applied Linear Algebra, Atlanta, GA, SIAM, October 2015.  (4.7 MB)
Gates, M., H. Anzt, J. Kurzak, and J. Dongarra, Accelerating Collaborative Filtering for Implicit Feedback Datasets using GPUs,” 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, IEEE, November 2015.  (1.02 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. 2, ICL-UT-17-03: Innovative Computing Laboratory, University of Tennessee, June 2017.  (1.12 MB)
Gates, M., S. Tomov, and J. Dongarra, Accelerating the SVD Two Stage Bidiagonal Reduction and Divide and Conquer Using GPUs,” Parallel Computing, vol. 74, pp. 3–18, May 2018.
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, and J. Dongarra, SLATE Users' Guide,” SLATE Working Notes, no. 10, ICL-UT-19-01: Innovative Computing Laboratory, University of Tennessee, January 2019.
Gates, M., A. Charara, J. Kurzak, A. YarKhan, I. Yamazaki, and J. Dongarra, Least Squares Performance Report,” SLATE Working Notes, no. 9, ICL-UT-18-10: Innovative Computing Laboratory, University of Tennessee, December 2018.  (1.76 MB)
Gabriel, E., G. Fagg, and J. Dongarra, Evaluating The Performance Of MPI-2 Dynamic Communicators And One-Sided Communication,” Lecture Notes in Computer Science, Recent Advances in Parallel Virtual Machine and Message Passing Interface, 10th European PVM/MPI User's Group Meeting, vol. 2840, Venice, Italy, Springer-Verlag, Berlin, pp. 88-97, September 2003.  (254.08 KB)
Gabriel, E., G. Fagg, A. Bukovsky, T. Angskun, and J. Dongarra, A Fault-Tolerant Communication Library for Grid Environments,” 17th Annual ACM International Conference on Supercomputing (ICS'03) International Workshop on Grid Computing and e-Science, San Francisco, June 2003.  (377.14 KB)
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Fürlinger, K., and S. Moore, Continuous Runtime Profiling of OpenMP Applications,” Proceedings of the 2007 Conference on Parallel Computing (PARCO 2007), Juelich and Aachen, Germany, January 2007.  (408.01 KB)
Fürlinger, K., J. Dongarra, and M. Gerndt, On Using Incremental Profiling for the Performance Analysis of Shared Memory Parallel Applications,” Proceedings of the 13th International Euro-Par Conference on Parallel Processing (Euro-Par '07), Rennes, France, Springer LNCS, January 2007.
Fürlinger, K., and S. Moore, Capturing and Analyzing the Execution Control Flow of OpenMP Applications,” International Journal of Parallel Programming, vol. 37, no. 3, pp. 266-276, 00-2009.
Fürlinger, K., and S. Moore, Visualizing the Program Execution Control Flow of OpenMP Applications,” Proc. 4th International Workshop on OpenMP (IWOMP 2008), West Lafayette, Indiana, Lecture Notes in Computer Science 5004, pp. 181-190, January 2008.  (194.25 KB)
Fürlinger, K., and S. Moore, Detection and Analysis of Iterative Behavior in Parallel Applications,” Proceedings of the 2008 International Conference on Computational Science (ICCS 2008), vol. 5103, Krakow, Poland, pp. 261-267, January 2008.  (141.02 KB)
Fürlinger, K., and S. Moore, Recording the Control Flow of Parallel Applications to Determine Iterative and Phase-Based Behavior,” Future Generation Computing Systems, vol. 26, pp. 162-166, 00-2009.
Fürlinger, K., and S. Moore, OpenMP-centric Performance Analysis of Hybrid Applications,” Proc. 2008 IEEE International Conference on Cluster Computing (CLUSTER 2008), Tsukuba, Japan, January 2008.  (218.63 KB)
Fürlinger, K., M. Gerndt, and J. Dongarra, Scalability Analysis of the SPEC OpenMP Benchmarks on Large-Scale Shared Memory Multiprocessors,” Proceedings of the 2007 International Conference on Computational Science (ICCS 2007), vol. 4487-4490, Beijing, China, Springer LNCS, pp. 815-822, 2007.  (145.84 KB)
Fischer, M., and J. Dongarra, Experiences with Windows 95/NT as a Cluster Computing Platform for Parallel Computing,” Parallel and Distributed Computing Practices, Special Issue: Cluster Computing, vol. 2, no. 2: Nova Science Publishers, USA, pp. 119-128, February 1999.  (164.04 KB)
Fayad, D., J. Kurzak, P. Luszczek, P. Wu, and J. Dongarra, The Case for Directive Programming for Accelerator Autotuner Optimization,” Innovative Computing Laboratory Technical Report, no. ICL-UT-17-07: University of Tennessee, October 2017.  (341.52 KB)
Faverge, M., J. Langou, Y. Robert, and J. Dongarra, Bidiagonalization and R-Bidiagonalization: Parallel Tiled Algorithms, Critical Paths and Distributed-Memory Implementation,” IEEE International Parallel and Distributed Processing Symposium (IPDPS), Orlando, FL, IEEE, May 2017.  (328.15 KB)
Faverge, M., J. Herrmann, J. Langou, B. Lowery, Y. Robert, and J. Dongarra, Mixing LU-QR Factorization Algorithms to Design High-Performance Dense Linear Algebra Solvers,” Journal of Parallel and Distributed Computing, vol. 85, pp. 32-46, November 2015.  (5.06 MB)
Faverge, M., J. Herrmann, J. Langou, B. Lowery, Y. Robert, and J. Dongarra, Designing LU-QR hybrid solvers for performance and stability,” University of Tennessee Computer Science Technical Report (also LAWN 282), no. ut-eecs-13-719: University of Tennessee, October 2013.  (4.11 MB)

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