High-Performance Astrophysical Simulations and Analysis with Python

Abstract

The usage of the high-level scripting language Python has enabled new mechanisms for data interrogation, discovery and visualization of scientific data. We present yt, an open source, community-developed astrophysical analysis and visualization toolkit for data generated by high-performance computing (HPC) simulations of astrophysical phenomena. Through a separation of responsibilities in the underlying Python code, yt allows data generated by incompatible, and sometimes even directly competing, astrophysical simulation platforms to be analyzed in a consistent manner, focusing on physically relevant quantities rather than quantities native to astrophysical simulation codes. We present on its mechanisms for data access, capabilities for MPI-parallel analysis, and its implementation as an in situ analysis and visualization tool.

Published in the Proceedings of the PyHPC2011 workshop at Supercomputing 2011. yt can be found at http://yt-project.org/

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• The AGORA High-Resolution Galaxy Simulations Comparison Project
• Simulating cosmic metal enrichment by the first galaxies