Publications
A Collection of White Papers from the BDEC2 Workshop in San Diego, CA,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-13: University of Tennessee, October 2019.
(8.25 MB)
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A Collection of White Papers from the BDEC2 Workshop in Poznan, Poland,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-10: University of Tennessee, Knoxville, May 2019.
(5.82 MB)
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A Collection of White Papers from the BDEC2 Workshop in Bloomington, IN,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-18-15: University of Tennessee, Knoxville, November 2018.
(9.26 MB)
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A Collection of Presentations from the BDEC2 Workshop in Kobe, Japan,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-09: University of Tennessee, Knoxville, February 2019.
(58.85 MB)
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Collecting Performance Data with PAPI-C,”
Tools for High Performance Computing 2009, 3rd Parallel Tools Workshop, Dresden, Germany, Springer Berlin / Heidelberg, pp. 157-173, May 2010.
DOI: 10.1007/978-3-642-11261-4_11
(4.45 MB)
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The co-evolution of computational physics and high-performance computing,”
Nature Reviews Physics, August 2024.
DOI: 10.1038/s42254-024-00750-z
“Clover: Computational Libraries Optimized via Exascale Research
, Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.
(872 KB)

A Class of Parallel Tiled Linear Algebra Algorithms for Multicore Architectures,”
Parallel Computing, vol. 35, pp. 38-53, 00 2009.
(274.74 KB)
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A Class of Hybrid LAPACK Algorithms for Multicore and GPU Architectures,”
Symposium for Application Accelerators in High Performance Computing (SAAHPC'11), Knoxville, TN, July 2011.
(329.68 KB)
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A Class of Communication-Avoiding Algorithms for Solving General Dense Linear Systems on CPU/GPU Parallel Machines,”
Proc. of the International Conference on Computational Science (ICCS), vol. 9, pp. 17-26, June 2012.
“CholeskyQR with Randomization and Pivoting for Tall Matrices (CQRRPT)
: arXiv, February 2024.
Cholesky Factorization on Batches of Matrices with Fixed and Variable Sizes
, San Jose, CA, GPU Technology Conference (GTC16), Poster, April 2016.
(480.51 KB)

Checkpointing Workflows for Fail-Stop Errors,”
IEEE Cluster, Honolulu, Hawaii, IEEE, September 2017.
(400.64 KB)
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Checkpointing Workflows for Fail-Stop Errors,”
IEEE Transactions on Computers, vol. 67, issue 8, pp. 1105–1120, August 2018.
“Checkpointing Strategies for Shared High-Performance Computing Platforms,”
International Journal of Networking and Computing, vol. 9, no. 1, pp. 28–52, 2019.
(490.5 KB)
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Checkpointing à la Young/Daly: An Overview,”
IC3-2022: Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, Noida, India, ACM Press, pp. 701-710, August 2022.
DOI: 10.1145/3549206
(639.77 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.
“CEED ECP Milestone Report: Public release of CEED 2.0
: Zenodo, April 2019.
DOI: 10.5281/zenodo.2641316
(4.98 MB)

CEED ECP Milestone Report: Performance Tuning of CEED Software and 1st and 2nd Wave Apps
: Zenodo, October 2019.
DOI: 10.5281/zenodo.3477618
(8.31 MB)

CEED ECP Milestone Report: Improve Performance and Capabilities of CEED-Enabled ECP Applications on Summit/Sierra,”
ECP Milestone Reports: Zenodo, May 2020.
DOI: 10.5281/zenodo.3860804
(28.12 MB)
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The Case for Directive Programming for Accelerator Autotuner Optimization,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-17-07: University of Tennessee, October 2017.
(341.52 KB)
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Can Hardware Performance Counters Produce Expected, Deterministic Results?,”
3rd Workshop on Functionality of Hardware Performance Monitoring, Atlanta, GA, December 2010.
(392.71 KB)
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Callback-based completion notification using MPI Continuations,”
Parallel Computing, vol. 21238566, issue 0225, pp. 102793, May Jan.
DOI: 10.1016/j.parco.2021.102793
“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.
DOI: 10.1145/3595178
“C++ API for BLAS and LAPACK,”
SLATE Working Notes, no. 02, ICL-UT-17-03: Innovative Computing Laboratory, University of Tennessee, June 2017.
(1.12 MB)
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C++ API for Batch BLAS,”
SLATE Working Notes, no. 04, ICL-UT-17-12: University of Tennessee, December 2017.
(1.89 MB)
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Budget-Aware Scheduling Algorithms for Scientific Workflows with Stochastic Task Weights on Heterogeneous IaaS Cloud Platforms,”
2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Vancouver, BC, Canada, IEEE, May 2018.
DOI: 10.1109/IPDPSW.2018.00014
(1.31 MB)
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Budget-aware scheduling algorithms for scientific workflows with stochastic task weights on IaaS Cloud platforms,”
Concurrency and Computation: Practice and Experience, vol. 33, no. 17, pp. e6065, 2021.
DOI: 10.1002/cpe.6065
(1.99 MB)
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Bringing High Performance Computing to Big Data Algorithms,”
Handbook of Big Data Technologies: Springer, 2017.
DOI: 10.1007/978-3-319-49340-4
(1.22 MB)
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A Block-Asynchronous Relaxation Method for Graphics Processing Units,”
Journal of Parallel and Distributed Computing, vol. 73, issue 12, pp. 1613–1626, December 2013.
DOI: http://dx.doi.org/10.1016/j.jpdc.2013.05.008
(1.08 MB)
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Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems,”
ICCS 2012, Omaha, NE, June 2012.
(608.95 KB)
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