Publications
Acceleration of the BLAST Hydro Code on GPU,”
Supercomputing '12 (poster), Salt Lake City, Utah, SC12, November 2012.
“Acceleration of GPU-based Krylov solvers via Data Transfer Reduction,”
International Journal of High Performance Computing Applications, 2015.
“Accelerating Time-To-Solution for Computational Science and Engineering,”
SciDAC Review, 00 2009.
(739.11 KB)
“Accelerating the SVD Two Stage Bidiagonal Reduction and Divide and Conquer Using GPUs,”
Parallel Computing, vol. 74, pp. 3–18, May 2018.
DOI: 10.1016/j.parco.2017.10.004 (1.34 MB)
“Accelerating the SVD Bi-Diagonalization of a Batch of Small Matrices using GPUs,”
Journal of Computational Science, vol. 26, pp. 237–245, May 2018.
DOI: 10.1016/j.jocs.2018.01.007 (2.18 MB)
“Accelerating the Reduction to Upper Hessenberg, Tridiagonal, and Bidiagonal Forms through Hybrid GPU-Based Computing,”
Parallel Computing, vol. 36, no. 12, pp. 645-654, 00 2010.
(1.39 MB)
“Accelerating the Reduction to Upper Hessenberg Form through Hybrid GPU-Based Computing,”
University of Tennessee Computer Science Technical Report, UT-CS-09-642 (also LAPACK Working Note 219), May 2009.
(2.37 MB)
“Accelerating the LOBPCG method on GPUs using a blocked Sparse Matrix Vector Product,”
University of Tennessee Computer Science Technical Report, no. UT-EECS-14-731: University of Tennessee, October 2014.
(1.83 MB)
“Accelerating the LOBPCG method on GPUs using a blocked Sparse Matrix Vector Product,”
Spring Simulation Multi-Conference 2015 (SpringSim'15), Alexandria, VA, SCS, April 2015.
(1.46 MB)
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“Accelerating Tensor Contractions in High-Order FEM with MAGMA Batched
, Atlanta, GA, SIAM Conference on Computer Science and Engineering (SIAM CSE17), Presentation, March 2017.
(9.29 MB)
Accelerating Tensor Contractions for High-Order FEM on CPUs, GPUs, and KNLs
, Gatlinburg, TN, moky Mountains Computational Sciences and Engineering Conference (SMC16), Poster, September 2016.
(4.29 MB)
Accelerating Scientific Computations with Mixed Precision Algorithms,”
Computer Physics Communications, vol. 180, issue 12, pp. 2526-2533, December 2009.
DOI: 10.1016/j.cpc.2008.11.005 (402.69 KB)
“Accelerating Restarted GMRES with Mixed Precision Arithmetic,”
IEEE Transactions on Parallel and Distributed Systems, June 2021.
DOI: 10.1109/TPDS.2021.3090757 (572.4 KB)
“Accelerating NWChem Coupled Cluster through dataflow-based Execution,”
The International Journal of High Performance Computing Applications, vol. 32, issue 4, pp. 540--551, July 2018.
DOI: 10.1177/1094342016672543 (1.68 MB)
“Accelerating NWChem Coupled Cluster through Dataflow-Based Execution,”
The International Journal of High Performance Computing Applications, pp. 1–13, January 2017.
DOI: 10.1177/1094342016672543 (4.07 MB)
“Accelerating NWChem Coupled Cluster through dataflow-based Execution,”
11th International Conference on Parallel Processing and Applied Mathematics (PPAM 2015), Krakow, Poland, Springer International Publishing, September 2015.
(452.82 KB)
“Accelerating Numerical Dense Linear Algebra Calculations with GPUs,”
Numerical Computations with GPUs: Springer International Publishing, pp. 3-28, 2014.
DOI: 10.1007/978-3-319-06548-9_1 (1.06 MB)
“Accelerating Multi - Process Communication for Parallel 3-D FFT,”
2021 Workshop on Exascale MPI (ExaMPI), St. Louis, MO, USA, IEEE, December 2021.
DOI: 10.1109/ExaMPI54564.2021.00011
“Accelerating Linear System Solutions Using Randomization Techniques,”
ACM Transactions on Mathematical Software (also LAWN 246), vol. 39, issue 2, February 2013.
DOI: 10.1145/2427023.2427025 (358.79 KB)
“Accelerating Linear System Solutions Using Randomization Techniques,”
INRIA RR-7616 / LAWN #246 (presented at International AMMCS’11), Waterloo, Ontario, Canada, July 2011.
(358.79 KB)
“Accelerating Linear Algebra with MAGMA
, Knoxville, TN, ECP Annual Meeting 2018, Tutorial, February 2018.
(35.27 MB)
Accelerating Linear Algebra on Heterogeneous Architectures of Multicore and GPUs using MAGMA and DPLASMA and StarPU Schedulers
: 2010 Symposium on Application Accelerators in. High-Performance Computing (SAAHPC'10), Tutorial, July 2010.
(499.51 KB)
Accelerating GPU Kernels for Dense Linear Algebra,”
Proc. of VECPAR'10, Berkeley, CA, June 2010.
(615.07 KB)
“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.
DOI: 10.1109/TPDS.2021.3084071
“Accelerating FFT towards Exascale Computing
: NVIDIA GPU Technology Conference (GTC2021), 2021.
(27.23 MB)
Accelerating Eigenvector Computation in the Nonsymmetric Eigenvalue Problem,”
VECPAR 2014, Eugene, OR, June 2014.
(199.44 KB)
“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)
“Accelerating 2D FFT: Exploit GPU Tensor Cores through Mixed-Precision
, Dallas, TX, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18), ACM Student Research Poster, November 2018.
(740.37 KB)
“8th International Conference on Parallel Processing and Applied Mathematics, Lecture Notes in Computer Science (LNCS),”
PPAM 2009 Proceedings, vol. 6067, Wroclaw, Poland, Springer, September 2010.
3-D parallel frequency-domain visco-acoustic wave modelling based on a hybrid direct/iterative solver,”
73rd EAGE Conference & Exhibition incorporating SPE EUROPEC 2011, Vienna, Austria, 23-26 May, 00 2011.
“The 30th Anniversary of the Supercomputing Conference: Bringing the Future Closer—Supercomputing History and the Immortality of Now,”
Computer, vol. 51, issue 10, pp. 74–85, November 2018.
DOI: 10.1109/MC.2018.3971352 (1.73 MB)
“2016 Dense Linear Algebra Software Packages Survey,”
University of Tennessee Computer Science Technical Report, no. UT-EECS-16-744 / LAWN 290: University of Tennessee, September 2016.
(366.43 KB)
“20 years of computational science: Selected papers from 2020 International Conference on Computational Science,”
Journal of Computational Science, vol. 53, pp. 101395–101395, 2021.
DOI: 10.1016/j.jocs.2021.101395
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8th International Conference on Computational Science (ICCS), Proceedings Parts I, II, and III, Lecture Notes in Computer Science, vol. 5101, Krakow, Poland, Springer Berlin, January 2008.