Embedding Python for In-Situ Analysis [electronic resource]

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Bibliographic Details
Online Access: Full Text (via OSTI)
Corporate Author: Sandia National Laboratories (Researcher)
Format: Government Document Electronic eBook
Language:English
Published: Washington, D.C. : Oak Ridge, Tenn. : United States. Department of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 2018.
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Description
Abstract:We describe our work to embed a Python interpreter in S3D, a highly scalable parallel direct numerical simulation reacting flow solver written in Fortran. Although S3D had no in-situ capability when we began, embedding the interpreter was surprisingly easy, and the result is an extremely flexible platform for conducting machine-learning experiments in-situ.
Item Description:Published through Scitech Connect.
08/01/2018.
"SAND-2018-9009."
"Other: 667076."
Shead, Timothy M. ; Konduri, Aditya ; Kolla, Hemanth ; Dunlavy, Daniel ; Kegelmeyer, W. Philip ; Davis IV, Warren L. ;
Physical Description:Size: 22 p. : digital, PDF file.