The Template Task Graph (TTG) - an emerging practical dataflow programming paradigm for scientific simulation at extreme scale
Author:
Affiliation:
1. University of Tennessee,Knoxville,USA
2. IACS, Stony Brook University,USA
3. Virginia Tech,Department of Chemistry,Blacksburg,U.S.A
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9306849/9306943/09307054.pdf?arnumber=9307054
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Reducing Data Motion and Energy Consumption of Geospatial Modeling Applications Using Automated Precision Conversion;2023 IEEE International Conference on Cluster Computing (CLUSTER);2023-10-31
2. Distributed Work Stealing in a Task-Based Dataflow Runtime;Parallel Processing and Applied Mathematics;2023
3. Evaluations of molecular modeling and machine learning for predictive capabilities in binding of lanthanum and actinium with carboxylic acids;Journal of Radioanalytical and Nuclear Chemistry;2022-12
4. Composition of Algorithmic Building Blocks in Template Task Graphs;2022 IEEE/ACM Parallel Applications Workshop: Alternatives To MPI+X (PAW-ATM);2022-11
5. A Framework to Exploit Data Sparsity in Tile Low-Rank Cholesky Factorization;2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2022-05
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