Ierotheou, C.S., Johnson, S.P., Cross, M. and Leggett, P.F. (1996) Computer aided parallelisation tools (CAPTools) — conceptual overview and performance on the parallelisation of structured mesh codes. Parallel Computing, 22 (2). pp. 163-195. ISSN 0167-8191 (doi:https://doi.org/10.1016/0167-8191(95)00004-6)

Full text not available from this repository.

Abstract

Computer Aided Parallelisation Tools (CAPTools) is a toolkit designed to automate as much as possible of the process of parallelising scalar FORTRAN 77 codes. The toolkit combines a very powerful dependence analysis together with user supplied knowledge to build an extremely comprehensive and accurate dependence graph. The initial version has been targeted at structured mesh computational mechanics codes (eg. heat transfer, Computational Fluid Dynamics (CFD)) and the associated simple mesh decomposition paradigm is utilised in the automatic code partition, execution control mask generation and communication call insertion. In this, the first of a series of papers [1–3] the authors discuss the parallelisations of a number of case study codes showing how the various component tools may be used to develop a highly efficient parallel implementation in a few hours or days. The details of the parallelisation of the TEAMKE1 CFD code are described together with the results of three other numerical codes. The resulting parallel implementations are then tested on workstation clusters using PVM and an i860-based parallel system showing efficiencies well over 80%.

Item Type:	Article
Uncontrolled Keywords:	parallelisation tools, interprocedural dependence analysis, automatic parallel code generation, parallel performance results, user interaction
Subjects:	Q Science > QA Mathematics
Pre-2014 Departments:	School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group School of Computing & Mathematical Sciences > Computer & Computational Science Research Group School of Computing & Mathematical Sciences > Department of Computer Systems Technology
Related URLs:	Publisher
Last Modified:	14 Oct 2016 08:58
URI:	http://gala.gre.ac.uk/id/eprint/13

Actions (login required)

View Item