CAOS: a domain-specific language for the parallel simulation of cellular automata

Authors:
Clemens Grelck;Frank Penczek;Kai Trojahner
Affiliations:
University of Hertfordshire, Department of Computer Science and University of Lübeck, Institute of Software Technology and Programming Languages;University of Hertfordshire, Department of Computer Science and University of Lübeck, Institute of Software Technology and Programming Languages;University of Lübeck, Institute of Software Technology and Programming Languages
Venue:
PaCT'07 Proceedings of the 9th international conference on Parallel Computing Technologies
Year:
2007

Citing 9
Cited 0

A cellular automata simulation system: version 2.0

ACM SIGPLAN Notices
The Java based cellular automata simulation system: JCASim

Future Generation Computer Systems - Cellular automata CA 2000 and ACRI 2000
Programming High Performance Models of Soil Contamination by a Cellular Automata Language

HPCN Europe '97 Proceedings of the International Conference and Exhibition on High-Performance Computing and Networking
Compilation of CDL for Different Target Architectures

PaCT '95 Proceedings of the 3rd International Conference on Parallel Computing Technologies
The Cellular Automata Network Compiler System: Modules and Features

PARELEC '04 Proceedings of the international conference on Parallel Computing in Electrical Engineering
iCity: A GIS-CA modelling tool for urban planning and decision making

Environmental Modelling & Software
A cellular automaton simulation tool for modelling seismicity in the region of Xanthi

Environmental Modelling & Software
A macroscopic collisional model for debris-flows simulation

Environmental Modelling & Software
Parallel implementation of a cellular automaton model for the simulation of laser dynamics

ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present the design and implementation of CAOS, a domain-specific high-level programming language for the parallel simulation of extended cellular automata. CAOS allows scientists to specify complex simulations with limited programming skills and effort. Yet the CAOS compiler generates efficiently executable code that automatically harnesses the potential of contemporary multi-core processors, shared memory multiprocessors, workstation clusters and supercomputers.