Publications
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An Introduction to High Performance Computing and Its Intersection with Advances in Modeling Rare Earth Elements and Actinides,”
Rare Earth Elements and Actinides: Progress in Computational Science Applications, vol. 1388, Washington, DC, American Chemical Society, pp. 3-53, October 2021.
DOI: 10.1021/bk-2021-1388.ch001
“Introduction to the HPCChallenge Benchmark Suite,”
ICL Technical Report, no. ICL-UT-05-01, January 2005.
(124.86 KB)
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An Introduction to the MAGMA project - Acceleration of Dense Linear Algebra
: NVIDIA Webinar, June 2010.
Investigating Half Precision Arithmetic to Accelerate Dense Linear System Solvers,”
ScalA17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, Denver, CO, ACM.
(766.35 KB)
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Investigating Power Capping toward Energy-Efficient Scientific Applications,”
Concurrency Computation: Practice and Experience, vol. 2018, issue e4485, pp. 1-14, April 2018.
DOI: 10.1002/cpe.4485
(1.2 MB)
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Investigating the Benefit of FP16-Enabled Mixed-Precision Solvers for Symmetric Positive Definite Matrices using GPUs,”
International Conference on Computational Science (ICCS 2020), Amsterdam, Netherlands, Springer, Cham, June 2020.
DOI: 10.1007/978-3-030-50417-5_18
(702.38 KB)
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A Jaccard Weights Kernel Leveraging Independent Thread Scheduling on GPUs,”
SBAC-PAD, Lyon, France, IEEE, 2018.
(237.68 KB)
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Keeneland: Bringing Heterogeneous GPU Computing to the Computational Science Community,”
IEEE Computing in Science & Engineering, vol. 13, issue 5, pp. 90-95, August 2011.
DOI: 10.1109/MCSE.2011.83
(932.57 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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Least Squares Solvers for Distributed-Memory Machines with GPU Accelerators,”
ACM International Conference on Supercomputing (ICS '19), Phoenix, Arizona, ACM, pp. 117–126, June 2019.
DOI: https://dl.acm.org/doi/abs/10.1145/3330345.3330356
(1.63 MB)
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Leveraging PaRSEC Runtime Support to Tackle Challenging 3D Data-Sparse Matrix Problems,”
35th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2021), Portland, OR, IEEE, May 2021.
(1.08 MB)
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Linear Algebra Software for Large-Scale Accelerated Multicore Computing,”
Acta Numerica, vol. 25, pp. 1-160, May 2016.
DOI: 10.1017/S0962492916000015
“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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Linear Systems Solvers for Distributed-Memory Machines with GPU Accelerators,”
Euro-Par 2019: Parallel Processing, vol. 11725: Springer, pp. 495–506, August 2019.
DOI: 10.1007/978-3-030-29400-7_35
“Load-Balancing Sparse Matrix Vector Product Kernels on GPUs,”
ACM Transactions on Parallel Computing, vol. 7, issue 1, March 2020.
DOI: 10.1145/3380930
(5.67 MB)
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A Look Back on 30 Years of the Gordon Bell Prize,”
International Journal of High Performance Computing and Networking, vol. 31, issue 6, pp. 469–484, 2017.
“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 with Partial Pivoting for a Multicore System with Accelerators,”
IEEE Transactions on Parallel and Distributed Computing, vol. 24, issue 8, pp. 1613-1621, August 2013.
DOI: http://doi.ieeecomputersociety.org/10.1109/TPDS.2012.242
(1.08 MB)
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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)

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)
