Result: High-Performance Astrophysical Simulations and Analysis with Python

Title:
High-Performance Astrophysical Simulations and Analysis with Python
Authors:
Turk, Matthew J., Smith, Britton D.
Publication Year:
2011
Collection:
Astrophysics
Subject Terms:
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Extragalactic Astrophysics
Document Type:
Report Working Paper
Access URL:
http://arxiv.org/abs/1112.4482
Accession Number:
edsarx.1112.4482
Database:
arXiv

Further information

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