Universität zu Köln

Geveler, Markus, Ribbrock, Dirk, Mallach, Sven ORCID: 0000-0001-5335-0678 and Göddeke, Dominik (2011). A Simulation Suite for Lattice-Boltzmann based Real-Time CFD Applications Exploiting Multi-Level Parallelism on Modern Multi- and Many-Core Architectures. Journal of Computational Science, 2 (2). pp. 113-123. Elsevier.

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Abstract

We present a software approach to hardware-oriented numerics which builds upon an augmented, previously published open-source set of libraries facilitating portable code development and optimisation on a wide range of modern computer architectures. In order to maximise eficiency, we exploit all levels of arallelism, including vectorisation within CPU cores, the Cell BE and GPUs, shared memory thread-level parallelism between cores, and parallelism between heterogeneous distributed memory resources in clusters. To evaluate and validate our approach, we implement a collection of modular building blocks for the easy and fast assembly and development of CFD applications based on the shallow water equations: We combine the Lattice-Boltzmann method with i-uid-structure interaction techniques in order to achieve real-time simulations targeting interactive virtual environments. Our results demonstrate that recent multi-core CPUs outperform the Cell BE, while GPUs are significantly faster than conventional multi-threaded SSE code. In addition, we verify good scalability properties of our application on small clusters.

Item Type:	Article
Creators:	Creators Email ORCID ORCID Put Code Geveler, Markus UNSPECIFIED UNSPECIFIED UNSPECIFIED Ribbrock, Dirk UNSPECIFIED UNSPECIFIED UNSPECIFIED Mallach, Sven UNSPECIFIED https://orcid.org/0000-0001-5335-0678 UNSPECIFIED Göddeke, Dominik UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-550096
Journal or Publication Title:	Journal of Computational Science
Volume:	2
Number:	2
Page Range:	pp. 113-123
Date:	2011
Publisher:	Elsevier
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Mathematics and Computer Science > Institute of Computer Science
Subjects:	Data processing Computer science
Refereed:	No
URI:	http://kups.ub.uni-koeln.de/id/eprint/55009