Publications
Is your scheduling good? How would you know?
, Bordeaux, France, 14th Scheduling for Large Scale Systems Workshop, June 2019.
(2.5 MB)
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PAPI: Counting outside the Box
, Barcelona, Spain, 8th JLESC Meeting, April 2018.
Counter Inspection Toolkit: Making Sense out of Hardware Performance Events,”
11th International Workshop on Parallel Tools for High Performance Computing, Dresden, Germany, Cham, Switzerland: Springer, February 2019.
(216.39 KB)
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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.
“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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Accelerating Time-To-Solution for Computational Science and Engineering,”
SciDAC Review, 00 2009.
(739.11 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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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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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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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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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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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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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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Introduction to the HPCChallenge Benchmark Suite,”
ICL Technical Report, no. ICL-UT-05-01, January 2005.
(124.86 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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The evolution of mathematical software,”
Communications of the ACM, vol. 65227, issue 12, pp. 66 - 72, December 2022.
“Recent Advances in Parallel Virtual Machine and Message Passing Interface,”
Lecture Notes in Computer Science: Proceedings of 7th European PVM/MPI Users' Group Meeting 2000, (Hungary: Springer Verlag), pp. V1908, January 2000.
“Translational process: Mathematical software perspective,”
Journal of Computational Science, vol. 52, pp. 101216, 2021.
“HPCS Library Study Effort,”
University of Tennessee Computer Science Technical Report, UT-CS-08-617, January 2008.
(73.22 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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Numerical Libraries and Tools for Scalable Parallel Cluster Computing,”
International Journal of High Performance Applications and Supercomputing, vol. 15, no. 2, pp. 175-180, January 2001.
(37.38 KB)
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An Introduction to the MAGMA project - Acceleration of Dense Linear Algebra
: NVIDIA Webinar, June 2010.
Remembering Ken Kennedy,”
SciDAC Review, vol. 5, no. 2007, 00 2007.
(519.68 KB)
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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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Dense Linear Algebra on Accelerated Multicore Hardware,”
High Performance Scientific Computing: Algorithms and Applications, London, UK, Springer-Verlag, 00 2012.
“The HPL Benchmark: Past, Present & Future
, ISC High Performance, Frankfurt, Germany, July 2016.
(3.41 MB)
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High-Performance Computing,”
The Princeton Companion to Applied Mathematics, Princeton, New Jersey, Princeton University Press, pp. 839-842, 2015.
“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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Portable HPC Programming on Intel Many-Integrated-Core Hardware with MAGMA Port to Xeon Phi,”
PPAM 2013, Warsaw, Poland, September 2013.
(284.97 KB)
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Numerical Linear Algebra Algorithms and Software,”
Journal of Computational and Applied Mathematics, vol. 123, no. 1-2, pp. 489-514, October 1999.
(258.62 KB)
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Iterative Solver Benchmark (LAPACK Working Note 152),”
Scientific Programming, vol. 9, no. 4, pp. 223-231, 00 2001.
(168.05 KB)
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An Iterative Solver Benchmark,”
Scientific Programming (to appear), 00 2002.
(142.67 KB)
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How Elegant Code Evolves With Hardware: The Case Of Gaussian Elimination,”
in Beautiful Code Leading Programmers Explain How They Think: O'Reilly Media, Inc., June 2007.
(257 KB)
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Translational Process: Mathematical Software Perspective,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-20-11, August 2020.
(752.59 KB)
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Performance and Reliability Trade-offs for the Double Checkpointing Algorithm,”
International Journal of Networking and Computing, vol. 4, no. 1, pp. 32-41.
(859.04 KB)
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PLASMA: Parallel Linear Algebra Software for Multicore Using OpenMP,”
ACM Transactions on Mathematical Software, vol. 45, issue 2, June 2019.
(7.5 MB)
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POMPEI: Programming with OpenMP4 for Exascale Investigations,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-17-09: University of Tennessee, December 2017.
(1.1 MB)
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