Publications
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Divide & Conquer on Hybrid GPU-Accelerated Multicore Systems,”
SIAM Journal on Scientific Computing (submitted), August 2010.
“Divide and Conquer on Hybrid GPU-Accelerated Multicore Systems,”
SIAM Journal on Scientific Computing, vol. 34(2), pp. C70-C82, April 2012.
“Distributed-Memory Task Execution and Dependence Tracking within DAGuE and the DPLASMA Project,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-10-02, 00 2010.
(400.75 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.
“Distributed-Memory Lattice H-Matrix Factorization,”
The International Journal of High Performance Computing Applications, vol. 33, issue 5, pp. 1046–1063, August 2019.
DOI: 10.1177/1094342019861139
(1.14 MB)
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Distributed Termination Detection for HPC Task-Based Environments,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-18-14: University of Tennessee, June 2018.
“Distributed Dense Numerical Linear Algebra Algorithms on Massively Parallel Architectures: DPLASMA,”
University of Tennessee Computer Science Technical Report, UT-CS-10-660, September 2010.
(366.26 KB)
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On the Development of Variable Size Batched Computation for Heterogeneous Parallel Architectures,”
The 17th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2016), IPDPS 2016, Chicago, IL, IEEE, May 2016.
(708.62 KB)
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Designing SLATE: Software for Linear Algebra Targeting Exascale,”
SLATE Working Notes, no. 03, ICL-UT-17-06: Innovative Computing Laboratory, University of Tennessee, October 2017.
(2.8 MB)
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Designing LU-QR Hybrid Solvers for Performance and Stability,”
IPDPS 2014, Phoenix, AZ, IEEE, May 2014.
DOI: 10.1109/IPDPS.2014.108
(4.2 MB)
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Design, Optimization, and Benchmarking of Dense Linear Algebra Algorithms on AMD GPUs,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-20-12: University of Tennessee, August 2020.
(476.36 KB)
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Design, Optimization, and Benchmarking of Dense Linear Algebra Algorithms on AMD GPUs,”
2020 IEEE High Performance Extreme Computing Virtual Conference: IEEE, September 2020.
(476.36 KB)
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The Design of Fast and Energy-Efficient Linear Solvers: On the Potential of Half-Precision Arithmetic and Iterative Refinement Techniques,”
International Conference on Computational Science (ICCS 2018), vol. 10860, Wuxi, China, Springer, pp. 586–600, June 2018.
DOI: 10.1007/978-3-319-93698-7_45
(487.88 KB)
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Design for a Soft Error Resilient Dynamic Task-based Runtime,”
ICL Technical Report, no. ICL-UT-14-04: University of Tennessee, November 2014.
(2.61 MB)
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Design for a Soft Error Resilient Dynamic Task-based Runtime,”
29th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Hyderabad, India, IEEE, May 2015.
(2.31 MB)
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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.
DOI: DOI:10.1016/j.procs.2017.05.138
(446.14 KB)
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Design and Implementation of the PULSAR Programming System for Large Scale Computing,”
Supercomputing Frontiers and Innovations, vol. 4, issue 1, 2017.
DOI: 10.14529/jsfi170101
(764.96 KB)
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Design and Implementation for FFT-ECP on Distributed Accelerated Systems,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-19-05: University of Tennessee, April 2019.
(3.19 MB)
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Dense Linear Algebra on Distributed Heterogeneous Hardware with a Symbolic DAG Approach,”
Scalable Computing and Communications: Theory and Practice: John Wiley & Sons, pp. 699-735, March 2013.
(1.01 MB)
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Deep Gaussian process with multitask and transfer learning for performance optimization,”
2022 IEEE High Performance Extreme Computing Conference (HPEC), pp. 1-7, September 2022.
DOI: 10.1109/HPEC55821.2022.9926396
“Data Movement Interfaces to Support Dataflow Runtimes,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-18-03: University of Tennessee, May 2018.
(210.94 KB)
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DAGuE: A generic distributed DAG Engine for High Performance Computing.,”
Parallel Computing, vol. 38, no. 1-2: Elsevier, pp. 27-51, 00 2012.
(830.85 KB)
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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.
DOI: 10.1007/978-3-030-11987-4_2
(216.39 KB)
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