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: - 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. - 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