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CFDlang: High-level Code Generation for High-order Methods in Fluid Dynamics

Reference

Norman A. Rink, Immo Huismann, Adilla Susungi, Jeronimo Castrillon, Jörg Stiller, Jochen Fröhlich, Claude Tadonki, "CFDlang: High-level Code Generation for High-order Methods in Fluid Dynamics" , Proceedings of the 3rd International Workshop on Real World Domain Specific Languages (RWDSL 2018), ACM, pp. 5:1–5:10, New York, NY, USA, Feb 2018. [doi]

Abstract

Numerical simulations continue to enable fast and enormous progress in science and engineering. Writing efficient numerical codes is a difficult challenge that encompasses a variety of tasks from designing the right algorithms to exploiting the full potential of a platform s architecture. Domain-specific languages (DSLs) can ease these tasks by offering the right abstractions for expressing numerical problems. With the aid of domain knowledge, efficient code can then be generated automatically from abstract expressions. In this work, we present the CFDlang DSL for expressing tensor operations that constitute the performance-critical code sections in a class of real numerical applications from fluid dynamics. We demonstrate that CFDlang can be used to generate code automatically that performs as well, if not better, than carefully hand-optimized code.

Bibtex

@InProceedings{rink_rwdsl18,
author = {Norman A. Rink and Immo Huismann and Adilla Susungi and Jeronimo Castrillon and J{\"o}rg Stiller and Jochen Fr{\"o}hlich and Claude Tadonki},
title = {CFDlang: High-level Code Generation for High-order Methods in Fluid Dynamics},
booktitle = {Proceedings of the 3rd International Workshop on Real World Domain Specific Languages (RWDSL 2018)},
year = {2018},
series = {RWDSL2018},
pages = {5:1--5:10},
address = {New York, NY, USA},
month = feb,
publisher = {ACM},
abstract = {Numerical simulations continue to enable fast and enormous progress in science and engineering. Writing efficient numerical codes is a difficult challenge that encompasses a variety of tasks from designing the right algorithms to exploiting the full potential of a platform's architecture. Domain-specific languages (DSLs) can ease these tasks by offering the right abstractions for expressing numerical problems. With the aid of domain knowledge, efficient code can then be generated automatically from abstract expressions. In this work, we present the CFDlang DSL for expressing tensor operations that constitute the performance-critical code sections in a class of real numerical applications from fluid dynamics. We demonstrate that CFDlang can be used to generate code automatically that performs as well, if not better, than carefully hand-optimized code.},
acmid = {3183900},
articleno = {5},
doi = {10.1145/3183895.3183900},
isbn = {978-1-4503-6355-6},
location = {Vienna, Austria},
numpages = {10},
url = {http://doi.acm.org/10.1145/3183895.3183900}
}

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