This paper targets scientists and programmers who need to develop e-science applications for heterogeneous distributed platforms: Grid, Volunteer computing, cluster and Cloud. We present a rich environment used to develop and deploy high performance applications (HPC) on large scale distributed and heterogeneous platforms. We particularly target iterative e-science applications where (i) convergence conditions and the number of jobs are not known in advance, (ii) jobs are created on the fly and (iii) jobs could be persistent. We propose two paradigms so as to provide intuitive statements enabling an easy writing of HPC e-science applications. Non-expert developers (scientific researchers) can use them to guarantee a fast development and an efficient deployment of their applications.
Title
Skeleton paradigm for developing e-science applications on distributed platforms
Date
2014-08
Published in
Proceedings of 2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS), 20-22 August 2014, Paris, France
Volume
pp. 1040-1047
Publisher
Paris, France, 20-22 August 2014
Pagination
8 p.
Presented at
2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS), Paris, France, 2014-08-20, 2014-08-22
ISBN
978-1-4799-6123-8
Paper type
full paper
Faculty
Ingénierie et Architecture
School
HEPIA - Genève
Institute
inIT - Institut d'Ingénierie Informatique et des Télécommunications