Embedding Python for In-Situ Analysis [electronic resource]
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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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Subjects: |
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. |
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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. |