Skip navigation

Simulation of 2-D metal cutting by means of a distributed algorithm

Simulation of 2-D metal cutting by means of a distributed algorithm

Ierotheou, C., Lai, C.-H. ORCID logoORCID: https://orcid.org/0000-0002-7558-6398, Palansuriya, C.J. and Pericleous, K.A. ORCID logoORCID: https://orcid.org/0000-0002-7426-9999 (1998) Simulation of 2-D metal cutting by means of a distributed algorithm. The Computer Journal, 41 (1). pp. 57-63. ISSN 0010-4620 (Print), 1460-2067 (Online) (doi:10.1093/comjnl/41.1.57)

Full text not available from this repository.

Abstract

Temperature distributions involved in some metal-cutting or surface-milling processes may be obtained by solving a non-linear inverse problem. A two-level concept on parallelism is introduced to compute such temperature distribution. The primary level is based on a problem-partitioning concept driven by the nature and properties of the non-linear inverse problem. Such partitioning results to a coarse-grained parallel algorithm. A simplified 2-D metal-cutting process is used as an example to illustrate the concept. A secondary level exploitation of further parallel properties based on the concept of domain-data parallelism is explained and implemented using MPI. Some experiments were performed on a network of loosely coupled machines consist of SUN Sparc Classic workstations and a network of tightly coupled processors, namely the Origin 2000.

Item Type: Article
Additional Information: [1] CMS Ref. No: 98/59. [2] The Computer Journal is published by Oxford University Press on behalf of BCS, The Chartered Institute for IT.
Uncontrolled Keywords: inverse methods, smoothing algorithms, parallel processing
Subjects: Q Science > QA Mathematics
Q Science > QD Chemistry
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
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:
Last Modified: 02 Mar 2019 15:49
URI: http://gala.gre.ac.uk/id/eprint/179

Actions (login required)

View Item View Item