Citation
American Psychological Association 7th edition (APA 7th)
🇺🇸 English, US
Belgacem, M. B., & Abdennadher, N. (2014). Skeleton Paradigm for Developing E-Science Applications on Distributed Platforms. In 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) (pp. 1040–1047). 2014 IEEE International Conference on High Performance Computing and Communications (HPCC), 2014 IEEE 6th International Symposium on Cyberspace Safety and Security (CSS) and 2014 IEEE 11th International Conference on Embedded Software and Systems (ICESS). IEEE. https://doi.org/10.1109/hpcc.2014.174
| Format | |
|---|---|
| BibTeX | |
| MARCXML | |
| TextMARC | |
| MARC | |
| DublinCore | |
| EndNote | |
| NLM | |
| RefWorks | |
| RIS |
Résumé
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.