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Data · dataset · 2018

Schnek: A C++ library for the development of parallel simulation codes on regular grids

Listed in Teesside University Research Data Repository

A large number of algorithms across the field of computational physics are formulated on grids with a regular topology.

Description

We present Schnek, a library that enables fast development of parallel simulations on regular grids. Schnek contains a number of easy-to-use modules that greatly reduce the amount of administrative code for large-scale simulation codes.

The library provides an interface for reading simulation setup files with a hierarchical structure. The structure of the setup file is translated into a hierarchy of simulation modules that the developer can specify. The reader parses and evaluates mathematical expressions and initialises variables or grid data.

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This enables developers to write modular and flexible simulation codes with minimal effort. Regular grids of arbitrary dimension are defined as well as mechanisms for defining physical domain sizes, grid staggering, and ghost cells on these grids. Ghost cells can be exchanged between neighbouring processes using MPI with a simple interface.

The grid data can easily be written into HDF5 files using serial or parallel I/O.

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Teesside University Research Data Repositoryoai:data.mendeley.com/ps6cmgdg8p.110 d agoJSON v1
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