Publications
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Linear Algebra Prepara.on for Emergent Neural Network Architectures: MAGMA, BLAS, and Batched GPU Computing
, Virtual, LAPENNA Workshop, November 2021.
(17.8 MB)
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Linear Algebra Software for High-Performance Computing (Part 2: Software for Hardware Accelerators and Coprocessors)
, Frankfurt, Germany, ISC High Performance (ISC18), Tutorial Presentation, June 2015.
(15.41 MB)
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Linear Algebra Software for Large-Scale Accelerated Multicore Computing,”
Acta Numerica, vol. 25, pp. 1-160, May 2016.
“Load-Balancing Sparse Matrix Vector Product Kernels on GPUs,”
ACM Transactions on Parallel Computing, vol. 7, issue 1, March 2020.
(5.67 MB)
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Lossy all-to-all exchange for accelerating parallel 3-D FFTs on hybrid architectures with GPUs,”
2022 IEEE International Conference on Cluster Computing (CLUSTER), pp. 152-160, September 2022.
“LU Factorization for Accelerator-Based Systems,”
IEEE/ACS AICCSA 2011, Sharm-El-Sheikh, Egypt, December 2011.
(234.86 KB)
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LU Factorization of Small Matrices: Accelerating Batched DGETRF on the GPU,”
16th IEEE International Conference on High Performance Computing and Communications (HPCC), Paris, France, IEEE, August 2014.
(684.73 KB)
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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)
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MAGMA: A Breakthrough in Solvers for Eigenvalue Problems
, San Jose, CA, GPU Technology Conference (GTC12), Presentation, May 2012.
(9.23 MB)
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MAGMA: A New Generation of Linear Algebra Library for GPU and Multicore Architectures
, Salt Lake City, UT, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC12), Presentation, November 2012.
(4.69 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 Embedded: Towards a Dense Linear Algebra Library for Energy Efficient Extreme Computing,”
2015 IEEE High Performance Extreme Computing Conference (HPEC ’15), (Best Paper Award), Waltham, MA, IEEE, September 2015.
(678.86 KB)
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MAGMA - LAPACK for GPUs
, Atlanta, GA, Keeneland GPU Tutorial, April 2011.
(742.14 KB)
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MAGMA - LAPACK for HPC on Heterogeneous Architectures
, Oak Ridge, TN, Titan Summit at Oak Ridge National Laboratory, Presentation, August 2011.
(20.43 MB)
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MAGMA MIC: Linear Algebra Library for Intel Xeon Phi Coprocessors
, Salt Lake City, UT, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC12), November 2012.
(6.4 MB)
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MAGMA MIC: Optimizing Linear Algebra for Intel Xeon Phi
, Frankfurt, Germany, ISC High Performance (ISC15), Intel Booth Presentation, June 2015.
(2.03 MB)
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MAGMA Templates for Scalable Linear Algebra on Emerging Architectures,”
The International Journal of High Performance Computing Applications, vol. 34, issue 6, pp. 645-658, November 2020.
“MAGMA Tensors and Batched Computing for Accelerating Applications on GPUs
, San Jose, CA, GPU Technology Conference (GTC17), Presentation in Session S7728, May 2017.
(11.12 MB)
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MagmaDNN 0.2 High-Performance Data Analytics for Manycore GPUs and CPUs
: University of Tennessee, January 2019.
(7.84 MB)
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MagmaDNN: Accelerated Deep Learning Using MAGMA,”
Practice and Experience in Advanced Research Computing (PEARC ’19), Chicago, IL, ACM, July 2019.
(1.09 MB)
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MagmaDNN – High-Performance Data Analytics for Manycore GPUs and CPUs
, Knoxville, TN, 2017 Summer Research Experiences for Undergraduate (REU), Presentation, December 2017.
(5.06 MB)
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MagmaDNN: Towards High-Performance Data Analytics and Machine Learning for Data-Driven Scientific Computing,”
ISC High Performance, Frankfurt, Germany, Springer International Publishing, June 2019.
(1.37 MB)
(8.72 MB)
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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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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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MATEDOR: MAtrix, TEnsor, and Deep-learning Optimized Routines
, Seattle, WA, 2020 NSF Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Principal Investigator Meeting, February 2020.
(2.28 MB)
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Matrices Over Runtime Systems at Exascale,”
Supercomputing '12 (poster), Salt Lake City, Utah, November 2012.
“Matrix Algebra on GPU and Multicore Architectures
, Basel, Switzerland, Workshop on GPU-enabled Numerical Libraries, Presentation, May 2011.
(49.27 MB)
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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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MAtrix, TEnsor, and Deep-learning Optimized Routines (MATEDOR)
, Washington, DC, NSF PI Meeting, Poster, April 2018.
(2.4 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 Block Gram Schmidt Orthogonalization,”
6th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, Austin, TX, ACM, November 2015.
(235.69 KB)
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Mixed-Precision Cholesky QR Factorization and its Case Studies on Multicore CPU with Multiple GPUs,”
SIAM Journal on Scientific Computing, vol. 37, no. 3, pp. C203-C330, May 2015.
(374.8 KB)
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Mixed-Precision Iterative Refinement using Tensor Cores on GPUs to Accelerate Solution of Linear Systems,”
Proceedings of the Royal Society A, vol. 476, issue 2243, November 2020.
(2.24 MB)
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Mixed-precision orthogonalization process Performance on multicore CPUs with GPUs,”
2015 SIAM Conference on Applied Linear Algebra, Atlanta, GA, SIAM, October 2015.
(301.01 KB)
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Mixed-precision orthogonalization scheme and adaptive step size for CA-GMRES on GPUs,”
VECPAR 2014 (Best Paper), Eugene, OR, June 2014.
(438.54 KB)
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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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Mixed-Tool Performance Analysis on Hybrid Multicore Architectures,”
First International Workshop on Parallel Software Tools and Tool Infrastructures (PSTI 2010), San Diego, CA, September 2010.
(1.24 MB)
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Model-Driven One-Sided Factorizations on Multicore, Accelerated Systems,”
Supercomputing Frontiers and Innovations, vol. 1, issue 1, 2014.
(1.86 MB)
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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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Non-GPU-resident Dense Symmetric Indefinite Factorization,”
Concurrency and Computation: Practice and Experience, November 2016.
“A Note on Auto-tuning GEMM for GPUs,”
9th International Conference on Computational Science (ICCS 2009), no. 5544-5545, Baton Rouge, LA, pp. 884-892, May 2009.
(236.02 KB)
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Novel HPC Techniques to Batch Execution of Many Variable Size BLAS Computations on GPUs,”
International Conference on Supercomputing (ICS '17), Chicago, Illinois, ACM, June 2017.
(1.04 MB)
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A Novel Hybrid CPU-GPU Generalized Eigensolver for Electronic Structure Calculations Based on Fine Grained Memory Aware Tasks,”
Supercomputing '12 (poster), Salt Lake City, Utah, November 2012.
“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)
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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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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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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), November 2009.
(1.41 MB)
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One-Sided Dense Matrix Factorizations on a Multicore with Multiple GPU Accelerators,”
The International Conference on Computational Science (ICCS), June 2012.
“OpenDIEL: A Parallel Workflow Engine and DataAnalytics Framework,”
Practice and Experience in Advanced Research Computing (PEARC ’19), Chicago, IL, ACM, July 2019.
(1.48 MB)
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Optimization for Performance and Energy for Batched Matrix Computations on GPUs,”
8th Workshop on General Purpose Processing Using GPUs (GPGPU 8), San Francisco, CA, ACM, February 2015.
(699.5 KB)
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