Publications
Accelerating Geostatistical Modeling and Prediction With Mixed-Precision Computations: A High-Productivity Approach With PaRSEC,”
IEEE Transactions on Parallel and Distributed Systems, vol. 33, issue 4, pp. 964 - 976, April 2022.
DOI: 10.1109/TPDS.2021.3084071
“Comparing Distributed Termination Detection Algorithms for Modern HPC Platforms,”
International Journal of Networking and Computing, vol. 12, issue 1, pp. 26 - 46, January 2022.
DOI: 10.15803/ijnc.12.1_26
“Evaluating Data Redistribution in PaRSEC,”
IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 8, pp. 1856-1872, August 2022.
DOI: 10.1109/TPDS.2021.3131657
(3.19 MB)
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Generalized Flow-Graph Programming Using Template Task-Graphs: Initial Implementation and Assessment,”
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Lyon, France, IEEE, July 2022.
DOI: 10.1109/IPDPS53621.2022.00086
“Pushing the Boundaries of Small Tasks: Scalable Low-Overhead Data-Flow Programming in TTG,”
2022 IEEE International Conference on Cluster Computing (CLUSTER), Heidelberg, Germany, IEEE, September 2022.
DOI: 10.1109/CLUSTER51413.2022.00026
“Reshaping Geostatistical Modeling and Prediction for Extreme-Scale Environmental Applications,”
2022 International Conference for High Performance Computing, Networking, Storage and Analysis (SC22), Dallas, TX, IEEE Press, November 2022.
“Callback-based completion notification using MPI Continuations,”
Parallel Computing, vol. 21238566, issue 0225, pp. 102793, May Jan.
DOI: 10.1016/j.parco.2021.102793
“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.
“DTE: PaRSEC Enabled Libraries and Applications
: 2021 Exascale Computing Project Annual Meeting, April 2021.
(3.24 MB)

Leveraging PaRSEC Runtime Support to Tackle Challenging 3D Data-Sparse Matrix Problems,”
35th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2021), Portland, OR, IEEE, May 2021.
(1.08 MB)
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Communication Avoiding 2D Stencil Implementations over PaRSEC Task-Based Runtime,”
2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), New Orleans, LA, IEEE, May 2020.
DOI: 10.1109/IPDPSW50202.2020.00127
(1.33 MB)
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DTE: PaRSEC Enabled Libraries and Applications (Poster)
, Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.
(979.27 KB)

DTE: PaRSEC Systems and Interfaces (Poster)
, Houston, TX, 2020 Exascale Computing Project Annual Meeting, February 2020.
(840.54 KB)

Extreme-Scale Task-Based Cholesky Factorization Toward Climate and Weather Prediction Applications,”
Platform for Advanced Scientific Computing Conference (PASC20), Geneva, Switzerland, ACM, June 2020.
DOI: 10.1145/3394277.3401846
(2.71 MB)
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Flexible Data Redistribution in a Task-Based Runtime System,”
IEEE International Conference on Cluster Computing (Cluster 2020), Kobe, Japan, IEEE, September 2020.
DOI: 10.1109/CLUSTER49012.2020.00032
(354.8 KB)
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Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance,”
International Conference for High Performance Computing Networking, Storage, and Analysis (SC20): ACM, November 2020.
(644.92 KB)
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Evaluation of Programming Models to Address Load Imbalance on Distributed Multi-Core CPUs: A Case Study with Block Low-Rank Factorization,”
PAW-ATM Workshop at SC19, Denver, CO, ACM, November 2019.
(4.51 MB)
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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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PAPI's new Software-Defined Events for in-depth Performance Analysis
, Dresden, Germany, 13th Parallel Tools Workshop, September 2019.
(3.14 MB)

Performance Analysis of Tile Low-Rank Cholesky Factorization Using PaRSEC Instrumentation Tools,”
Workshop on Programming and Performance Visualization Tools (ProTools 19) at SC19, Denver, CO, ACM, November 2019.
(429.55 KB)
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Software-Defined Events through PAPI,”
2019 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Rio de Janeiro, Brazil, IEEE, May 2019.
DOI: 10.1109/IPDPSW.2019.00069
(446.41 KB)
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Accelerating NWChem Coupled Cluster through dataflow-based Execution,”
The International Journal of High Performance Computing Applications, vol. 32, issue 4, pp. 540--551, July 2018.
DOI: 10.1177/1094342016672543
(1.68 MB)
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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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Distributed Termination Detection for HPC Task-Based Environments,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-18-14: University of Tennessee, June 2018.
“Evaluation of Dataflow Programming Models for Electronic Structure Theory,”
Concurrency and Computation: Practice and Experience: Special Issue on Parallel and Distributed Algorithms, vol. 2018, issue e4490, pp. 1–20, May 2018.
DOI: 10.1002/cpe.4490
(1.69 MB)
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A Failure Detector for HPC Platforms,”
The International Journal of High Performance Computing Applications, vol. 32, issue 1, pp. 139–158, January 2018.
DOI: 10.1177/1094342017711505
(1.04 MB)
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PAPI's New Software-Defined Events for In-Depth Performance Analysis
, Lyon, France, CCDSC 2018: Workshop on Clusters, Clouds, and Data for Scientific Computing, September 2018.
Tensor Contraction on Distributed Hybrid Architectures using a Task-Based Runtime System,”
Innovative Computing Laboratory Technical Report, no. ICL-UT-18-13: University of Tennessee, December 2018.
(326.11 KB)
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Accelerating NWChem Coupled Cluster through Dataflow-Based Execution,”
The International Journal of High Performance Computing Applications, pp. 1–13, January 2017.
DOI: 10.1177/1094342016672543
(4.07 MB)
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Dynamic Task Discovery in PaRSEC- A data-flow task-based Runtime,”
ScalA17, Denver, ACM, September 2017.
DOI: 10.1145/3148226.3148233
(1.15 MB)
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Assessing the Cost of Redistribution followed by a Computational Kernel: Complexity and Performance Results,”
Parallel Computing, vol. 52, pp. 22-41, February 2016.
DOI: doi:10.1016/j.parco.2015.09.005
(2.06 MB)
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Accelerating NWChem Coupled Cluster through dataflow-based Execution,”
11th International Conference on Parallel Processing and Applied Mathematics (PPAM 2015), Krakow, Poland, Springer International Publishing, September 2015.
(452.82 KB)
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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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Hierarchical DAG scheduling for Hybrid Distributed Systems,”
29th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Hyderabad, India, IEEE, May 2015.
(1.11 MB)
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Mixing LU-QR Factorization Algorithms to Design High-Performance Dense Linear Algebra Solvers,”
Journal of Parallel and Distributed Computing, vol. 85, pp. 32-46, November 2015.
DOI: doi:10.1016/j.jpdc.2015.06.007
(5.06 MB)
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PaRSEC in Practice: Optimizing a Legacy Chemistry Application through Distributed Task-Based Execution,”
2015 IEEE International Conference on Cluster Computing, Chicago, IL, IEEE, September 2015.
(1.77 MB)
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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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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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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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An Efficient Distributed Randomized Algorithm for Solving Large Dense Symmetric Indefinite Linear Systems,”
Parallel Computing, vol. 40, issue 7, pp. 213-223, July 2014.
DOI: 10.1016/j.parco.2013.12.003
(1.42 MB)
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Power Monitoring with PAPI for Extreme Scale Architectures and Dataflow-based Programming Models,”
2014 IEEE International Conference on Cluster Computing, no. ICL-UT-14-04, Madrid, Spain, IEEE, September 2014.
DOI: 10.1109/CLUSTER.2014.6968672
(3.45 MB)
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PTG: An Abstraction for Unhindered Parallelism,”
International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing (WOLFHPC), New Orleans, LA, IEEE Press, November 2014.
(480.05 KB)
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Taking Advantage of Hybrid Systems for Sparse Direct Solvers via Task-Based Runtimes,”
23rd International Heterogeneity in Computing Workshop, IPDPS 2014, Phoenix, AZ, IEEE, May 2014.
(807.33 KB)
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Task-Based Programming for Seismic Imaging: Preliminary Results,”
2014 IEEE International Conference on High Performance Computing and Communications (HPCC), Paris, France, IEEE, August 2014.
(625.86 KB)
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Utilizing Dataflow-based Execution for Coupled Cluster Methods,”
2014 IEEE International Conference on Cluster Computing, no. ICL-UT-14-02, Madrid, Spain, IEEE, September 2014.
(260.23 KB)
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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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Implementing a systolic algorithm for QR factorization on multicore clusters with PaRSEC,”
Lawn 277, no. UT-CS-13-709, May 2013.
(298.63 KB)
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PaRSEC: Exploiting Heterogeneity to Enhance Scalability,”
IEEE Computing in Science and Engineering, vol. 15, issue 6, pp. 36-45, November 2013.
DOI: 10.1109/MCSE.2013.98
(2.16 MB)
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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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An efficient distributed randomized solver with application to large dense linear systems,”
ICL Technical Report, no. ICL-UT-12-02, July 2012.
(626.26 KB)
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