By Topic

Kerrighed and data parallelism: cluster computing on single system image operating systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
7 Author(s)
C. Morin ; IRISA/INRIA, Campus Univ. de Beaulieu, Rennes, France ; R. Lottiaux ; G. Vallee ; P. Gallard
more authors

A working single system image distributed operating system is presented. Dubbed Kerrighed, it provides a unified approach and support to both the MPI and the shared memory programming models. The system is operational in a 16-processor cluster at the Institut de Recherche en Informatique et Systemes Aleatoires in Rennes, France. In this paper, the system is described with emphasis on its main contributing and distinguishing factors, namely its DSM based on memory containers, its flexible handling of scheduling and checkpointing strategies, and its efficient and unified communications layer. Because of the importance and popularity of data parallel applications in these systems, we present a brief discussion of the mapping of two well known and established data parallel algorithms. It is shown that ShearSort is remarkably well suited for the architecture/system pair as is the ever so popular and important two-dimensional fast Fourier transform. (2D FFT).

Published in:

Cluster Computing, 2004 IEEE International Conference on

Date of Conference:

20-23 Sept. 2004