Work

Speedup of UEDGE Parameter Scans Using Machine‐Learning Optimized OpenMP Parallelization and a Continuation Solver

Year: 2026

Type: article

Source: Contributions to Plasma Physics

DOI: 10.1002/ctpp.70135

Authors: A. Holm, J. Guterl, T. D. Rognlien, W. H. Meyer, P. N. Brown

Institutions: Lawrence Livermore National Laboratory, General Atomics (United States)

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: U.S. Department of Energy, Lawrence Livermore National Laboratory

Awards: G14554683, G1701580490, THEORY AND SIMULATION OF FUSION PLASMAS, THE DIII-D NATIONAL FUSION PROGRAM AND ADVANCED FUSION TECHNOLOGY RESEARCH AND DEVELOPMENT

OpenAlex ID: W7161625255

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Cites: 10

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