cfaed Publications

@InProceedings{khouzami_iccs21,
author = {Nesrine Khouzami and Lars Sch{\"u}tze and Pietro Incardona and Landfried Kraaz and Tina Subic and Jeronimo Castrillon and Ivo F. Sbalzarini},
booktitle = {International Conference on Computational Science (ICCS'21)},
title = {The OpenPME Problem Solving Environment for Numerical Simulations},
doi = {10.1007/978-3-030-77961-0_49},
editor = {Paszynski, Maciej and Kranzlm{\"u}ller, Dieter and Krzhizhanovskaya, Valeria V. and Dongarra, Jack J. and Sloot, Peter M. A.},
isbn = {978-3-030-77961-0},
location = {Krakow (virtual), Poland},
organization = {Springer},
pages = {614--627},
publisher = {Springer International Publishing},
url = {https://link.springer.com/chapter/10.1007%2F978-3-030-77961-0_49},
abstract = {We introduce OpenPME, the Open Particle-Mesh Environment, a problem solving environment that provides a Domain Specific Language (DSL) for numerical simulations in scientific computing. It is built atop a domain metamodel that is general enough to cover the main types of numerical simulations: simulations using particles, meshes, and hybrid combinations of particles and meshes. Using model-to-model transformations, OpenPME generates code against the state-of-the-art C++ parallel computing library OpenFPM. This effectively lowers the programming barrier and enables users to implement scalable simulation codes for high-performance computing (HPC) systems using high-level abstractions. Plenty of recent research has shown that higher-level abstractions and problem solving environments are well suited to alleviate low-level implementation overhead. We demonstrate this for OpenPME and its compiler on three different test cases---particle-based, mesh-based, and hybrid particle-mesh---showing up to 7-fold reduction in the number of lines of code compared to a direct OpenFPM implementation in C++.},
address = {Cham},
month = jun,
numpages = {14},
year = {2021},
}