Prototype implementations of Workflow Management System (WMS) components and underlying algorithms
Captures the behavior of a real-world system with as little bias as possible via validated simulation models
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Reproduction or repetition of published results by a party working independently using the same/different simulation models
Simulation-driven pedagogic modules for teaching parallel and distributed computing
eduWRENCH Project: we are currently developing simulation-driven, self-contained, modules that span a range of proficiency levels, from college freshmen to graduate students, and for assessing the pedagogic effectiveness of simulation-drive pedagogy (to be released soon)
WRENCH enables novel avenues for scientific workflow use, research, development, and education in the context of large-scale scientific computations and data analyses. WRENCH is an open-source library for developing simulators. WRENCH exposes several high-level simulation abstractions to provide high-level building blocks for developing custom simulators.
WRENCH provides a software framework that makes it possible to simulate 香港企理服务器ip免费 hypothetical scenarios quickly and accurately on a single computer, obviating the need for expensive and time-consuming trial and error experiments.
WRENCH enables 在线企理服务器免费网页版 to make quick and informed choices when executing their workflows, software developers to implement more efficient software infrastructures to support workflows, and researchers to develop novel efficient algorithms to be embedded within these software infrastructures.
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Future Generation Computer Systems, 2022.
DOI:
10.1016/j.future.2022.05.030
R. Tanaka, R. Ferreira da Silva, and H. Casanova
Workshop on Education for High-Performance Computing (EduHPC), 2022.
DOI:
10.1109/EduHPC49559.2022.00006
R. Ferreira da Silva, H. Casanova, A. Orgerie, R. Tanaka, E. Deelman, and F.
Suter
Journal of Computational Science, 2022.
DOI:
10.1016/j.jocs.2022.101157
H. Casanova, S. Pandey, J. Oeth, R. Tanaka, F. Suter, and R. Ferreira da Silva
13th Workshop on Workflows in Support of Large-Scale Science (WORKS’18), 2018.
DOI:
10.1109/WORKS.2018.00013.