8–19 juin 2009
Fuseau horaire Europe/Paris
Emerging grid middleware standards: High Performance computing, High Throughput computing and large scale data analysis using grids. Introduction Grid computing is a concept for high throughput computing and data management which was born a few years ago. This still active field of development aims at associating and leveraging distributed computing facilities ranging from “low level” capacity (local facilities, regional facilities) to “high level” capacity (HPC national or international centres). To achieve this goal different middleware layers have been developed to allow transparent access to the computing and data management capacities, and today different kinds of applications have been enabled in such a context. This Summer School is an opportunity to highlight the state of the art and achievements in this area, and to envision current issues and forthcoming challenges. Objectives Through lectures from different stakeholders, hands-on sessions on the Grid5000, EGEE and DEISA infrastructures using various middleware, and a selection of focused conferences, this school will give attendees the opportunity to: • understand the basics of grid computing, • get acquainted with the different mechanisms of grids, • be aware of challenges and scientific perspectives of grid usage • be able to use grid environments and/or to port their own application on a grid infrastructure Target audiences This school is designed for computational scientists and end users from any application discipline as well as for computer scientists in the field of distributed systems and will be built on this diversity. Some background in programming and computer science is the only prerequisite. Grid newcomers and beginners are welcome, but people already involved in grid projects should also benefit from this school.
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Europe/Paris