Enzo-E v1.0 Announcement

We are pleased to announce the v1.0 release of Enzo-E, a new parallel adaptive mesh refinement magnetohydrodynamics code. Enzo-E is based on Cello, a highly scalable, fully-distributed array-of-octree parallel adaptive mesh refinement (AMR) framework, and Enzo-E is a scalable branch of the original Enzo parallel astrophysics and cosmology application that has been ported to use Cello. Enzo-E’s parallel scalability is enabled by Charm++ (https://charmplusplus.org/), an advanced parallel runtime system developed at the University of Illinois. A short paper describing Enzo-E can be found here https://ui.adsabs.harvard.edu/abs/2018arXiv181001319B/abstract.
Features include:
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Three HD/MHD solvers: PPM, PPML, VL+CT -
Self gravity with a multigrid Poisson solver -
Collisionless particles -
Cosmological evolution -
A wide range of star formation and sink algorithms -
Scalable HDF I/O -
Radiative cooling and chemistry via connection to the Grackle package
Source code repository: https://github.com/enzo-project/enzo-e
Documentation: http://enzo-e.readthedocs.io/
Cello was written by James Bordner and Enzo-E includes contributions from:
Matthew Abruzzo
Stefan Arridge
James Bordner
Thomas Bolden
Greg Bryan
Vanesa Diaz
Andrew Emerick
Forrest Glines
Ryan Golant
Nathan Goldbaum
Buket Benek Gursoy
Philipp Grete
William Hicks
Michael Norman
Claire Kopenhafer
Brian O’Shea
Molly Peeples
John Regan
Dan Reynolds
Wolfram Schmidt
Britton Smith
Jason Tumlinson
Matthew Turk
Saoirse Ward
Sophie Wenzel-Teuber
John Wise
Enzo-E / Cello has benefitted from the following funding sources in reverse chronological order.
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NASA TCAN 80NSSC21K1053 (PI: Peeples; Co-PIs: Bryan, Norman, O’Shea, Wise) -
Irish Research Council New Foundations Scheme (2019; PI: Regan) -
NSF OAC-1835402 (PI: Norman; Institutional PIs: Bryan, O’Shea, Wise) -
NSF SI2 SSE-1440709 (PI: Norman) -
NSF PHY-1104819 (PI: Norman) -
NSF AST-0808184 (PI: Norman)
participants (1)
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Matthew William Abruzzo