Simulating Cosmological Evolution with Enzo
Michael L. Norman, Greg L. Bryan, Robert Harkness, James Bordner,, Daniel Reynolds, Brian O'Shea, and Rick Wagner

TL;DR
This paper presents a massively parallel version of Enzo, a simulation code for cosmological structure formation, detailing its physics, algorithms, implementation, and performance on large-scale computing platforms.
Contribution
It introduces a new parallel implementation of Enzo, enhancing its scalability and performance for simulating cosmological evolution at terascale and future petascale platforms.
Findings
Achieved efficient parallel performance on terascale systems.
Demonstrated the code's capability to simulate complex cosmological phenomena.
Discussed challenges and future plans for petascale computing.
Abstract
In this paper we describe our massively parallel version of Enzo, a multiphysics, parallel, AMR application for simulating cosmological structure formation developed at UCSD and Columbia. We describe its physics, numerical algorithms, implementation, and performance on current terascale platforms. We also discuss our future plans and some of the challenges we face as we move to the petascale.
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Taxonomy
TopicsComputational Physics and Python Applications · Advanced Data Storage Technologies · Scientific Research and Discoveries
