Collaborative Research: Framework: Software: NSCI: Enzo for the Exascale Era (Enzo-E)

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 01 Jan 2020 English Publisher:figshareFunded by:NSF | Collaborative Research:Fr...

Authors: Norman, Michael; Bordner, James; Bryan, Greg; O'Shea, Brian; Wise, John;

doi: 10.5281/zenodo.6846647 , 10.6084/m9.figshare.11862492 , 10.5281/zenodo.6846648 , 10.6084/m9.figshare.11862492.v2

Collaborative Research: Framework: Software: NSCI: Enzo for the Exascale Era (Enzo-E)

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Abstract

This project is concerned with getting our adaptive mesh refinement (AMR) astrophysics and cosmology application to run efficiently on upcoming Exascale platforms. Our approach has been to develop Enzo-E, the "Extreme" scalable version of our mature ENZO structured-AMR MPI code. Two key features of Enzo-E are 1) it is built on a re-designed scalable "array-of-octree" AMR framework, Cello; and 2) it is parallelized using Charm++ rather than MPI. Charm++'s asynchronous and data-driven task-based parallel programming approach explicitly targets Exascale application development, and is well-suited for the irregular and dynamic data structures inherent in AMR applications. Weak scaling of Enzo-E is excellent, with demonstrated scaling on some of the largest NSF systems available, including Blue Waters at NCSA and Frontera at TACC. Recent accomplishments include additional physics capabilities, scalable I/O, Version 1.0 release, and the first science publication citing results obtained from Enzo-E simulations.

OAC-1835402

Related Organizations

Georgia Institute of Technology
United States
King’s University
United States
Michigan State University
United States
University of California, San Diego
United States

Keywords

charm++, astrophysics, adaptive mesh refinement, cosmology

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