Publications
MPI-aware Compiler Optimizations for Improving Communication-Computation Overlap,”
Proceedings of the 23rd annual International Conference on Supercomputing (ICS '09), Yorktown Heights, NY, USA, ACM, pp. 316-325, June 2009.
(308.92 KB)
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Understanding Native Event Semantics
, Knoxville, TN, 9th JLESC Workshop, April 2019.
(2.33 MB)
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Characterization of Power Usage and Performance in Data-Intensive Applications using MapReduce over MPI,”
2019 International Conference on Parallel Computing (ParCo2019), Prague, Czech Republic, September 2019.
“Accelerating Time-To-Solution for Computational Science and Engineering,”
SciDAC Review, 00 2009.
(739.11 KB)
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Prospectus for the Next LAPACK and ScaLAPACK Libraries: Basic ALgebra LIbraries for Sustainable Technology with Interdisciplinary Collaboration (BALLISTIC),”
LAPACK Working Notes, no. 297, ICL-UT-20-07: University of Tennessee.
(1.41 MB)
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Prospectus for the Next LAPACK and ScaLAPACK Libraries,”
PARA 2006, Umea, Sweden, June 2006.
(460.11 KB)
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LAPACK 2005 Prospectus: Reliable and Scalable Software for Linear Algebra Computations on High End Computers
: LAPACK Working Note 164, January 2005.
(172.59 KB)
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Self Adapting Linear Algebra Algorithms and Software,”
IEEE Proceedings (to appear), 00 2004.
(587.67 KB)
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Towards An Efficient, Scalable Replication Mechanism for the I2-DSI Project,”
University of North Carolina School of Library and Information Science Technical Report, no. TR-1999-01, January 1999.
“Cache Optimization and Performance Modeling of Batched, Small, and Rectangular Matrix Multiplication on Intel, AMD, and Fujitsu Processors,”
ACM Transactions on Mathematical Software, vol. 49, issue 3, pp. 1 - 29, September 2023.
“O(N) distributed direct factorization of structured dense matrices using runtime systems,”
52nd International Conference on Parallel Processing (ICPP 2023), Salt Lake City, Utah, ACM, August 2023.
“FT-MPI, Fault-Tolerant Metacomputing and Generic Name Services: A Case Study,”
Lecture Notes in Computer Science, vol. 4192, no. ICL-UT-06-14: Springer Berlin / Heidelberg, pp. 133-140, 00 2006.
(362.44 KB)
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A Survey of Recent Developments in Parallel Implementations of Gaussian Elimination,”
Concurrency and Computation: Practice and Experience, vol. 27, issue 5, pp. 1292-1309, April 2015.
(783.45 KB)
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Dynamically balanced synchronization-avoiding LU factorization with multicore and GPUs,”
University of Tennessee Computer Science Technical Report, no. ut-cs-13-713, July 2013.
(659.77 KB)
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Dynamically balanced synchronization-avoiding LU factorization with multicore and GPUs,”
Fourth International Workshop on Accelerators and Hybrid Exascale Systems (AsHES), IPDPS 2014, May 2014.
(490.08 KB)
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On Algorithmic Variants of Parallel Gaussian Elimination: Comparison of Implementations in Terms of Performance and Numerical Properties,”
University of Tennessee Computer Science Technical Report, no. UT-CS-13-715, July 2013, 2012.
(358.98 KB)
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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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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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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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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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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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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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Acceleration of the BLAST Hydro Code on GPU,”
Supercomputing '12 (poster), Salt Lake City, Utah, SC12, November 2012.
“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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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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An Overview of Heterogeneous High Performance and Grid Computing,”
Engineering the Grid (to appear): Nova Science Publishers, Inc., 00 2004.
(199.93 KB)
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The Impact of Multicore on Computational Science Software,”
CTWatch Quarterly, vol. 3, issue 1, February 2007.
“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.
(1.73 MB)
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A Not So Simple Matter of Software,”
NCSA Access Online: NCSA, 00 2005.
(457.69 KB)
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Exploring New Architectures in Accelerating CFD for Air Force Applications,”
Proceedings of the DoD HPCMP User Group Conference, Seattle, Washington, January 2008.
(492.86 KB)
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Revisiting the Double Checkpointing Algorithm,”
University of Tennessee Computer Science Technical Report (LAWN 274), no. ut-cs-13-705, January 2013.
(682.22 KB)
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PULSAR Users’ Guide, Parallel Ultra-Light Systolic Array Runtime,”
University of Tennessee EECS Technical Report, no. UT-EECS-14-733: University of Tennessee, November 2014.
(561.56 KB)
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High Performance Computing Trends,”
HERMIS, vol. 2, pp. 155-163, November 2001.
“High Performance Computing Trends, Supercomputers, Clusters, and Grids,”
Information Processing Society of Japan Symposium Series, vol. 2003, no. 14, pp. 55-58, January 2003.
“Bi-objective Scheduling Algorithms for Optimizing Makespan and Reliability on Heterogeneous Systems,”
19th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) (submitted), San Diego, CA, June 2007.
(223.82 KB)
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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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High-Performance Conjugate-Gradient Benchmark: A New Metric for Ranking High-Performance Computing Systems,”
The International Journal of High Performance Computing Applications, 2015.
(336.19 KB)
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Top500 Supercomputer Sites (15th edition),”
University of Tennessee Computer Science Department Technical Report, no. UT-CS-00-442, June 2000.
(278.88 KB)
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Report on the TianHe-2A System,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-17-04: University of Tennessee, September 2017.
(7.15 MB)
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Translational Process: Mathematical Software Perspective,”
Journal of Computational Science, September 2020.
(752.59 KB)
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The Design and Performance of Batched BLAS on Modern High-Performance Computing Systems,”
International Conference on Computational Science (ICCS 2017), Zürich, Switzerland, Elsevier, June 2017.
(446.14 KB)
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The LINPACK Benchmark: Past, Present, and Future,”
Concurrency: Practice and Experience, vol. 15, pp. 803-820, 00 2008.
(94.86 KB)
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Finite-choice Algorithm Optimization in Conjugate Gradients (LAPACK Working Note 159),”
University of Tennessee Computer Science Technical Report, UT-CS-03-502, January 2003.
(64.52 KB)
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Netlib and NA-Net: building a scientific computing community,”
In IEEE Annals of the History of Computing (to appear), August 2007.
(352.71 KB)
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High Performance Computing Systems: Status and Outlook,”
Acta Numerica, vol. 21, Cambridge, UK, Cambridge University Press, pp. 379-474, May 2012.
(1.48 MB)
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The HPL Benchmark: Past, Present & Future
, ISC High Performance, Frankfurt, Germany, July 2016.
(3.41 MB)
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Numerical Linear Algebra,”
Encyclopedia of Computer Science and Technology, eds. Kent, A., Williams, J., vol. 41, pp. 207-233, August 1999.
(262 KB)
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Performance Application Programming Interface for Extreme-Scale Environments (PAPI-EX) (Poster)
, Seattle, WA, 2020 NSF Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Principal Investigator Meeting, 20 2020.
(2.53 MB)
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Report on the Oak Ridge National Laboratory's Frontier System,”
ICL Technical Report, no. ICL-UT-22-05, May 2022.
(16.87 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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