Publications
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)
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Optimizing Matrix Multiplication for a Short-Vector SIMD Architecture - CELL Processor,”
Parallel Computing, vol. 35, pp. 138-150, 00 2009.
(591.16 KB)
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A Collection of White Papers from the BDEC2 Workshop in San Diego, CA,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-13: University of Tennessee, October 2019.
(8.25 MB)
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Communication Avoiding LU with Tournament Pivoting in SLATE,”
SLATE Working Notes, no. 18, ICL-UT-22-01, January 2022.
(3.74 MB)
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“Computational Science – ICCS 2009, Proceedings of the 9th International Conference,”
Lecture Notes in Computer Science: Theoretical Computer Science and General Issues, vol. -, no. 5544-5545, Baton Rouge, LA, May 2009.
Unveiling the Performance-energy Trade-off in Iterative Linear System Solvers for Multithreaded Processors,”
Concurrency and Computation: Practice and Experience, vol. 27, issue 4, pp. 885-904, September 2014.
(1.83 MB)
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Compression and load balancing for efficient sparse matrix‐vector product on multicore processors and graphics processing units,”
Concurrency and Computation: Practice and Experience, vol. 34, issue 14, June 2022.
(749.82 KB)
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Sparse matrix-vector and matrix-multivector products for the truncated SVD on graphics processors,”
Concurrency and Computation: Practice and Experience, August 2023.
“Compressed basis GMRES on high-performance graphics processing units,”
The International Journal of High Performance Computing Applications, May 2022.
(13.52 MB)
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Impact of Quad-core Cray XT4 System and Software Stack on Scientific Computation,”
Euro-Par 2009, Lecture Notes in Computer Science, vol. 5704/2009, Delft, The Netherlands, Springer Berlin / Heidelberg, pp. 334-344, August 2009.
(312.74 KB)
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SLATE Performance Improvements: QR and Eigenvalues,”
SLATE Working Notes, no. 17, ICL-UT-21-02, April 2021.
(2 MB)
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A Collection of White Papers from the BDEC2 Workshop in Bloomington, IN,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-18-15: University of Tennessee, Knoxville, November 2018.
(9.26 MB)
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QCG-OMPI: MPI Applications on Grids,”
Future Generation Computer Systems, vol. 27, no. 4, pp. 357-369, March 2010.
(1.48 MB)
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Faster, Cheaper, Better - A Hybridization Methodology to Develop Linear Algebra Software for GPUs,”
LAPACK Working Note, no. 230, 00 2010.
(334.48 KB)
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QCG-OMPI: MPI Applications on Grids.,”
Future Generation Computer Systems, vol. 27, no. 4, pp. 435-369, January 2011.
(1.48 MB)
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Parallel algebraic domain decomposition solver for the solution of augmented systems.,”
Parallel, Distributed, Grid and Cloud Computing for Engineering, Ajaccio, Corsica, France, 12-15 April, 00 2011.
“LU Factorization for Accelerator-Based Systems,”
IEEE/ACS AICCSA 2011, Sharm-El-Sheikh, Egypt, December 2011.
(234.86 KB)
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Scheduling Cholesky Factorization on Multicore Architectures with GPU Accelerators
, Knoxville, TN, 2010 Symposium on Application Accelerators in High-Performance Computing (SAAHPC'10), Poster, July 2010.
(3.86 MB)
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Algebraic Schwarz Preconditioning for the Schur Complement: Application to the Time-Harmonic Maxwell Equations Discretized by a Discontinuous Galerkin Method.,”
The Twentieth International Conference on Domain Decomposition Methods, La Jolla, California, February 2011.
“QR Factorization of Tall and Skinny Matrices in a Grid Computing Environment,”
24th IEEE International Parallel and Distributed Processing Symposium (also LAWN 224), Atlanta, GA, April 2010.
(261.55 KB)
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QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators,”
Proceedings of IPDPS 2011, no. ICL-UT-10-04, Anchorage, AK, October 2010.
(468.17 KB)
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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)
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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), 00 2009.
(515.63 KB)
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Resiliency in numerical algorithm design for extreme scale simulations,”
The International Journal of High Performance Computing Applications, vol. 36371337212766180823, issue 2, pp. 251 - 285, March 2022.
“Matrices Over Runtime Systems at Exascale,”
Supercomputing '12 (poster), Salt Lake City, Utah, November 2012.
“MaPHyS or the Development of a Parallel Algebraic Domain Decomposition Solver in the Course of the Solstice Project,”
Sparse Days 2010 Meeting at CERFACS, Toulouse, France, June 2010.
“Numerical Linear Algebra on Emerging Architectures: The PLASMA and MAGMA Projects,”
Journal of Physics: Conference Series, vol. 180, 00 2009.
(119.37 KB)
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A Hybridization Methodology for High-Performance Linear Algebra Software for GPUs,”
in GPU Computing Gems, Jade Edition, vol. 2: Elsevier, pp. 473-484, 00 2011.
“Towards a Complexity Analysis of Sparse Hybrid Linear Solvers,”
PARA 2010, Reykjavik, Iceland, June 2010.
“A Systematic Multi-step Methodology for Performance Analysis of Communication Traces of Distributed Applications based on Hierarchical Clustering,”
Proc. of the 5th International Workshop on Performance Modeling, Evaluation, and Organization of Parallel and Distributed Systems (PMEO-PDS 2006), no. ICL-UT-05-06, Rhodes Island, Greece, IEEE Computer Society, April 2006.
(1.02 MB)
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Hardware Software Server in NetSolve,”
ICL Technical Report, no. ICL-UT-02-02, January 2002.
(221.4 KB)
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Users' Guide to NetSolve v1.4.1,”
ICL Technical Report, no. ICL-UT-02-05, June 2002.
(328.01 KB)
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NetSolve: Past, Present, and Future - A Look at a Grid Enabled Server,”
Making the Global Infrastructure a Reality: Wiley Publishing, 00 2003.
(158.19 KB)
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Cray X1 Evaluation Status Report,”
Oak Ridge National Laboratory Report, vol. /-2004/13, January 2004.
(817.33 KB)
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Accelerating Geostatistical Modeling and Prediction With Mixed-Precision Computations: A High-Productivity Approach With PaRSEC,”
IEEE Transactions on Parallel and Distributed Systems, vol. 33, issue 4, pp. 964 - 976, April 2022.
“GPU-based LU Factorization and Solve on Batches of Matrices with Band Structure,”
SC-W 2023: Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, Denver, CO, ACM, November 2023.
“Matrix Multiplication on Batches of Small Matrices in Half and Half-Complex Precisions,”
Journal of Parallel and Distributed Computing, vol. 145, pp. 188-201, November 2020.
(1.3 MB)
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C++ API for Batch BLAS,”
SLATE Working Notes, no. 04, ICL-UT-17-12: University of Tennessee, December 2017.
(1.89 MB)
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Optimizing Memory-Bound Numerical Kernels on GPU Hardware Accelerators,”
VECPAR 2012, Kobe, Japan, July 2012.
(737.28 KB)
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Performance Tuning and Optimization Techniques of Fixed and Variable Size Batched Cholesky Factorization on GPUs,”
International Conference on Computational Science (ICCS'16), San Diego, CA, June 2016.
(626.21 KB)
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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)
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Small Tensor Operations on Advanced Architectures for High-Order Applications,”
University of Tennessee Computer Science Technical Report, no. UT-EECS-17-749: Innovative Computing Laboratory, University of Tennessee, April 2017.
(1.09 MB)
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Factorization and Inversion of a Million Matrices using GPUs: Challenges and Countermeasures,”
Procedia Computer Science, vol. 108, pp. 606–615, June 2017.
(643.44 KB)
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Cholesky Factorization on Batches of Matrices with Fixed and Variable Sizes
, San Jose, CA, GPU Technology Conference (GTC16), Poster, April 2016.
(480.51 KB)
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A Set of Batched Basic Linear Algebra Subprograms,”
ACM Transactions on Mathematical Software, October 2020.
“GPU algorithms for Efficient Exascale Discretizations,”
Parallel Computing, vol. 108, pp. 102841, 2021.
“MATEDOR: MAtrix, TEnsor, and Deep-learning Optimized Routines
, Dallas, TX, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18), Research Poster, November 2018.
(2.55 MB)
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High-Performance Tensor Contractions for GPUs,”
International Conference on Computational Science (ICCS'16), San Diego, CA, June 2016.
(2.36 MB)
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Tensor Contractions using Optimized Batch GEMM Routines
, San Jose, CA, GPU Technology Conference (GTC), Poster, March 2018.
(1.64 MB)
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SLATE Port to AMD and Intel Platforms,”
SLATE Working Notes, no. 16, ICL-UT-21-01, April 2021.
(890.75 KB)
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