Publications
Export 17 results:
Filters: Author is Tingxing Dong [Clear All Filters]
Tridiagonalization of a Symmetric Dense Matrix on a GPU Cluster,”
The Third International Workshop on Accelerators and Hybrid Exascale Systems (AsHES), May 2013.
“Tridiagonalization of a dense symmetric matrix on multiple GPUs and its application to symmetric eigenvalue problems,”
Concurrency and Computation: Practice and Experience, October 2013.
(1.71 MB)
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A Step towards Energy Efficient Computing: Redesigning A Hydrodynamic Application on CPU-GPU,”
IPDPS 2014, Phoenix, AZ, IEEE, May 2014.
(1.01 MB)
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Optimizing the SVD Bidiagonalization Process for a Batch of Small Matrices,”
International Conference on Computational Science (ICCS 2017), Zurich, Switzerland, Procedia Computer Science, June 2017.
(364.95 KB)
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Optimizing Symmetric Dense Matrix-Vector Multiplication on GPUs,”
ACM/IEEE Conference on Supercomputing (SC’11), Seattle, WA, November 2011.
(630.63 KB)
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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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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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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: 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)

MAGMA: A Breakthrough in Solvers for Eigenvalue Problems
, San Jose, CA, GPU Technology Conference (GTC12), Presentation, May 2012.
(9.23 MB)

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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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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Framework for Batched and GPU-resident Factorization Algorithms to Block Householder Transformations,”
ISC High Performance, Frankfurt, Germany, Springer, July 2015.
(778.26 KB)
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A Fast Batched Cholesky Factorization on a GPU,”
International Conference on Parallel Processing (ICPP-2014), Minneapolis, MN, September 2014.
(1.37 MB)
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Batched matrix computations on hardware accelerators based on GPUs,”
International Journal of High Performance Computing Applications, February 2015.
(2.16 MB)
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Acceleration of the BLAST Hydro Code on GPU,”
Supercomputing '12 (poster), Salt Lake City, Utah, SC12, November 2012.
“Accelerating the SVD Bi-Diagonalization of a Batch of Small Matrices using GPUs,”
Journal of Computational Science, vol. 26, pp. 237–245, May 2018.
(2.18 MB)
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