Publications
Hierarchical QR Factorization Algorithms for Multi-Core Cluster Systems,”
University of Tennessee Computer Science Technical Report (also Lawn 257), no. UT-CS-11-684, October 2011.
(405.71 KB)
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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)
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High Performance Realtime Convex Solver for Embedded Systems,”
University of Tennessee Computer Science Technical Report, no. UT-EECS-16-745, October 2016.
(225.43 KB)
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High-Performance Tensor Contractions for GPUs,”
University of Tennessee Computer Science Technical Report, no. UT-EECS-16-738: University of Tennessee, January 2016.
(2.36 MB)
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HPCG Benchmark: a New Metric for Ranking High Performance Computing Systems,”
University of Tennessee Computer Science Technical Report , no. ut-eecs-15-736: University of Tennessee, January 2015.
“HPCS Library Study Effort,”
University of Tennessee Computer Science Technical Report, UT-CS-08-617, January 2008.
(73.22 KB)
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Hydrodynamic Computation with Hybrid Programming on CPU-GPU Clusters,”
University of Tennessee Computer Science Technical Report, no. ut-cs-13-714, July 2013.
(866.68 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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Implementing a Sparse Matrix Vector Product for the SELL-C/SELL-C-σ formats on NVIDIA GPUs,”
University of Tennessee Computer Science Technical Report, no. UT-EECS-14-727: University of Tennessee, April 2014.
(578.11 KB)
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Implementing a systolic algorithm for QR factorization on multicore clusters with PaRSEC,”
Lawn 277, no. UT-CS-13-709, May 2013.
(298.63 KB)
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An Improved MAGMA GEMM for Fermi GPUs,”
University of Tennessee Computer Science Technical Report, no. UT-CS-10-655 (also LAPACK working note 227), July 2010.
(486.71 KB)
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An Improved Parallel Singular Value Algorithm and Its Implementation for Multicore Hardware,”
University of Tennessee Computer Science Technical Report (also LAWN 283), no. ut-eecs-13-720: University of Tennessee, October 2013.
(1.23 MB)
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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)
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Initial Integration and Evaluation of SLATE Parallel BLAS in LATTE,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-18-07: Innovative Computing Laboratory, University of Tennessee, June 2018.
(366.6 KB)
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Integrating Deep Learning in Domain Sciences at Exascale,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-20-10: University of Tennessee, August 2020.
(1.09 MB)
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Interim Report on Benchmarking FFT Libraries on High Performance Systems,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-21-03: University of Tennessee, July 2021.
(2.68 MB)
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International Exascale Software Project Roadmap v1.0,”
University of Tennessee Computer Science Technical Report, UT-CS-10-654, May 2010.
(719.74 KB)
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Introduction to the HPCChallenge Benchmark Suite,”
ICL Technical Report, no. ICL-UT-05-01, January 2005.
(124.86 KB)
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Kernel Assisted Collective Intra-node Communication Among Multicore and Manycore CPUs,”
University of Tennessee Computer Science Technical Report, UT-CS-10-663, November 2010.
(384.75 KB)
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LAWN 294: Aasen's Symmetric Indenite Linear Solvers in LAPACK,”
LAPACK Working Note, no. LAWN 294, ICL-UT-17-13: University of Tennessee, December 2017.
(854.1 KB)
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Least Squares Performance Report,”
SLATE Working Notes, no. 09, ICL-UT-18-10: Innovative Computing Laboratory, University of Tennessee, December 2018.
(1.76 MB)
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Limitations of the Playstation 3 for High Performance Cluster Computing,”
University of Tennessee Computer Science Technical Report, UT-CS-07-597 (Also LAPACK Working Note 185), 00 2007.
(171.01 KB)
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Linear Systems Performance Report,”
SLATE Working Notes, no. 08, ICL-UT-18-08: Innovative Computing Laboratory, University of Tennessee, September 2018.
(1.64 MB)
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MAGMA Batched: A Batched BLAS Approach for Small Matrix Factorizations and Applications on GPUs,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-16-02: University of Tennessee, August 2016.
(929.79 KB)
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MAGMA-sparse Interface Design Whitepaper,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-17-05, September 2017.
(1.28 MB)
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Mixed precision and approximate 3D FFTs: Speed for accuracy trade-off with GPU-aware MPI and run-time data compression,”
ICL Technical Report, no. ICL-UT-22-04, May 2022.
(706.14 KB)
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Mixed-Precision Algorithm for Finding Selected Eigenvalues and Eigenvectors of Symmetric and Hermitian Matrices,”
ICL Technical Report, no. ICL-UT-21-05, August 2021.
(3.93 MB)
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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)
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Modeling of L2 Cache Behavior for Thread-Parallel Scientific Programs on Chip Multi-Processors,”
University of Tennessee Computer Science Technical Report, no. UT-CS-06-583, January 2006.
(652.93 KB)
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A More Portable HeFFTe: Implementing a Fallback Algorithm for Scalable Fourier Transforms,”
ICL Technical Report, no. ICL-UT-21-04: University of Tennessee, August 2021.
(493.17 KB)
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MPI Collective Algorithm Selection and Quadtree Encoding,”
ICL Technical Report, no. ICL-UT-06-11, 00 2006.
(308.39 KB)
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Multi-criteria checkpointing strategies: optimizing response-time versus resource utilization,”
University of Tennessee Computer Science Technical Report, no. ICL-UT-13-01, February 2013.
(497.64 KB)
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NetBuild,”
University of Tennessee Computer Science Technical Report, no. UT-CS-O1-461, January 2001.
(17.71 KB)
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NetBuild: Automated Installation and Use of Network-Accessible Software Libraries,”
ICL Technical Report, no. ICL-UT-04-02, January 2004.
(80.52 KB)
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Numerical Libraries and The Grid: The Grads Experiments with ScaLAPACK,”
University of Tennessee Computer Science Technical Report, no. UT-CS-01-460, January 2001.
(91.78 KB)
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Numerically Stable Real-Number Codes Based on Random Matrices,”
University of Tennessee Computer Science Department Technical Report, vol. –04-526, October 2004.
(91.66 KB)
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Optimal Checkpointing Period: Time vs. Energy,”
University of Tennessee Computer Science Technical Report (also LAWN 281), no. ut-eecs-13-718: University of Tennessee, October 2013.
(440.13 KB)
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PAQR: Pivoting Avoiding QR factorization,”
ICL Technical Report, no. ICL-UT-22-06, June 2022.
(364.85 KB)
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Parallel BLAS Performance Report,”
SLATE Working Notes, no. 05, ICL-UT-18-01: University of Tennessee, April 2018.
(4.39 MB)
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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)
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Parallel Norms Performance Report,”
SLATE Working Notes, no. 06, ICL-UT-18-06: Innovative Computing Laboratory, University of Tennessee, June 2018.
(1.13 MB)
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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), August 2011.
(636.01 KB)
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Parallel Tiled QR Factorization for Multicore Architectures,”
University of Tennessee Computer Science Dept. Technical Report, UT-CS-07-598 (also LAPACK Working Note 190), 00 2007.
(277.92 KB)
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A parallel tiled solver for dense symmetric indefinite systems on multicore architectures,”
University of Tennessee Computer Science Technical Report, no. ICL-UT-11-07, October 2011.
(544.2 KB)
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Performance, Design, and Autotuning of Batched GEMM for GPUs,”
University of Tennessee Computer Science Technical Report, no. UT-EECS-16-739: University of Tennessee, February 2016.
(1.27 MB)
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Performance evaluation of LU factorization through hardware counter measurements,”
University of Tennessee Computer Science Technical Report, no. ut-cs-12-700, October 2012.
(794.82 KB)
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Performance of Various Computers Using Standard Linear Equations Software,”
University of Tennessee Computer Science Technical Report, no. cs-89-85, February 2013.
(539.24 KB)
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Performance of Various Computers Using Standard Linear Equations Software (Linpack Benchmark Report),”
University of Tennessee Computer Science Technical Report, no. CS-89-85, 00 2011.
(6.42 MB)
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Performance of Various Computers Using Standard Linear Equations Software (Linpack Benchmark Report),”
University of Tennessee Computer Science Technical Report, UT-CS-89-85, 00 2010.
(6.42 MB)
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Performance of Various Computers Using Standard Linear Equations Software (Linpack Benchmark Report),”
University of Tennessee Computer Science Technical Report, no. CS-89-85, January 2001.
(6.42 MB)
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