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.
Titel
Skeleton paradigm for developing e-science applications on distributed platforms
Datum
2014-08
Veröffentlich 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
Band
pp. 1040-1047
Verlag
Paris, France, 20-22 August 2014
Umfang
8 p.
Vorgestellt auf
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
Papiertyp
full paper
Domaine
Ingénierie et Architecture
Ecole
HEPIA - Genève
Institut
inIT - Institut d'Ingénierie Informatique et des Télécommunications