Publications
Optimal Cooperative Checkpointing for Shared High-Performance Computing Platforms,”
2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Best Paper Award, Vancouver, BC, Canada, IEEE, May 2018.
DOI: 10.1109/IPDPSW.2018.00127
(899.3 KB)
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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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Generic Matrix Multiplication for Multi-GPU Accelerated Distributed-Memory Platforms over PaRSEC,”
ScalA'19: 10th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, Denver, CO, IEEE, November 2019.
(260.69 KB)
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Composition of Algorithmic Building Blocks in Template Task Graphs,”
2022 IEEE/ACM Parallel Applications Workshop: Alternatives To MPI+X (PAW-ATM), Dallas, TX, USA, IEEE, January 2023, 2022.
DOI: 10.1109/PAW-ATM56565.2022.00008
(1015.99 KB)
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Distributed-Memory Multi-GPU Block-Sparse Tensor Contraction for Electronic Structure,”
35th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2021), Portland, OR, IEEE, May 2021.
“ASCR@40: Highlights and Impacts of ASCR’s Programs
: US Department of Energy’s Office of Advanced Scientific Computing Research, June 2020.
DOI: 10.2172/1631812
ASCR@40: Four Decades of Department of Energy Leadership in Advanced Scientific Computing Research
: Advanced Scientific Computing Advisory Committee (ASCAC), US Department of Energy, August 2020.
Visualizing Execution Traces with Task Dependencies,”
2nd Workshop on Visual Performance Analysis (VPA '15), Austin, TX, ACM, November 2015.
(927.5 KB)
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A Generic Approach to Scheduling and Checkpointing Workflows,”
The 47th International Conference on Parallel Processing (ICPP 2018), Eugene, OR, IEEE Computer Society Press, August 2018.
(737.11 KB)
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A Generic Approach to Scheduling and Checkpointing Workflows,”
International Journal of High Performance Computing Applications, vol. 33, issue 6, pp. 1255-1274, November 2019.
DOI: 10.1177/1094342019866891
(555.01 KB)
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Energy-Aware Strategies for Reliability-Oriented Real-Time Task Allocation on Heterogeneous Platforms,”
49th International Conference on Parallel Processing (ICPP 2020), Edmonton, AB, Canada, ACM Press, 2020.
(804.96 KB)
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A Generic Approach to Scheduling and Checkpointing Workflows,”
Int. Journal of High Performance Computing Applications, vol. 33, no. 6, pp. 1255-1274, 2019.
(555.01 KB)
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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.
“Improved Energy-Aware Strategies for Periodic Real-Time Tasks under Reliability Constraints,”
40th IEEE Real-Time Systems Symposium (RTSS 2019), York, UK, IEEE Press, February 2020.
“Analysis of Dynamically Scheduled Tile Algorithms for Dense Linear Algebra on Multicore Architectures,”
University of Tennessee Computer Science Technical Report, UT-CS-11-666, (also Lawn 243), March 2011.
(1.65 MB)
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Power-Aware HPC on Intel Xeon Phi KNL Processors
, Frankfurt, Germany, ISC High Performance (ISC17), Intel Booth Presentation, June 2017.
(5.87 MB)

An Improved Parallel Singular Value Algorithm and Its Implementation for Multicore Hardware,”
University of Tennessee Computer Science Technical Report (also LAWN 283), no. ut-eecs-13-720: University of Tennessee, October 2013.
(1.23 MB)
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Power-aware Computing: Measurement, Control, and Performance Analysis for Intel Xeon Phi,”
2017 IEEE High Performance Extreme Computing Conference (HPEC'17), Best Paper Finalist, Waltham, MA, IEEE, September 2017.
DOI: 10.1109/HPEC.2017.8091085
(908.84 KB)
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Mixed-Precision Iterative Refinement using Tensor Cores on GPUs to Accelerate Solution of Linear Systems,”
Proceedings of the Royal Society A, vol. 476, issue 2243, November 2020.
DOI: 10.1098/rspa.2020.0110
(2.24 MB)
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MAtrix, TEnsor, and Deep-learning Optimized Routines (MATEDOR)
, Washington, DC, NSF PI Meeting, Poster, April 2018.
DOI: 10.6084/m9.figshare.6174143.v3
(2.4 MB)

Mixed-Precision Solution of Linear Systems Using Accelerator-Based Computing,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-20-05: University of Tennessee, May 2020.
(1.03 MB)
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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)
