High-Performance Astrophysical Simulations and Analysis with Python
  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.
