CarpetX

CarpetX is a driver for the Cactus software framework. It provides adaptive mesh refinement and multi-block discretizations to applications. CarpetX uses AMReX to offer distributed memory parallelism, multi-threading, and GPU support. CarpetX is intended for the Einstein Toolkit, a software package for simulating computational relativistic astrophysics systems.

{"references": ["https://bitbucket.org/eschnett/cactusamrex/", "https://amrex-codes.github.io/amrex/", "https://cactuscode.org/", "https://einsteintoolkit.org/"]}

Grants: 10.13039/100000001::2004157 10.13039/100000001::2004879

Related Organizations

University of Amsterdam
Netherlands
University of Illinois at Urbana Champaign
United States
Perimeter Institute
Canada
Louisiana State University
United States
National Center for Supercomputing Applications
United States

Keywords

relativistic astrophysics, parallel computing, multi-block systems, Cactus, GPU, CUDA, numerical relativity, computational astrophysics, distributed computing, scientific computing, AMReX, computational physics, adaptive mesh refinement, Einstein Toolkit

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	4
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%