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FROM DESKTOP TO LARGE-SCALE MODEL EXPLORATION WITH SWIFT/T.
Jonathan Ozik1, Nicholson T Collier1, Justin M Wozniak1
1Argonne National Laboratory, 9700 S. Cass Ave., Argonne, IL 60439, USA.
Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference
|June 27, 2019
Summary
The Extreme-scale Model Exploration with Swift/T (EMEWS) framework enables complex scientific workflows by integrating model exploration tools with parallel scripting. This tutorial demonstrates EMEWS for running simulations on diverse computing resources, from desktops to supercomputers.
Area of Science:
- Computational Science
- Scientific Computing
- Parallel Computing
Background:
- High-performance computing (HPC) resources are increasingly accessible, enabling novel computational processing and experimentation.
- Existing model exploration techniques (e.g., calibration, metaheuristics, data assimilation) and simulation codes often operate as "black boxes".
Purpose of the Study:
- To present the Extreme-scale Model Exploration with Swift/T (EMEWS) framework.
- To demonstrate how EMEWS integrates model exploration approaches with the Swift/T parallel scripting language.
- To facilitate the execution of scientific workflows on a wide range of computing platforms.
Main Methods:
- The EMEWS framework combines model exploration capabilities with the Swift/T parallel scripting language.
- Workflows are designed to run on diverse computational resources, including desktops, academic clusters, and Top 500 supercomputers.
- Use-cases are provided in a public repository for practical application and testing.
Main Results:
- Demonstration of a simple agent-based model parameter sweep workflow.
- Illustration of a complex adaptive parameter space exploration workflow coordinating distributed simulations.
- Availability of practical use-cases for users to download and execute.
Conclusions:
- The EMEWS framework provides a unified approach for executing complex scientific workflows on HPC resources.
- The framework simplifies the integration of diverse computational tools and simulation codes.
- Accessible use-cases empower researchers to explore scientific models efficiently across various computing environments.
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