Grid'5000 winter school in Grenoble

Jeudi
4
Fév
2016
Lundi
1
Fév
2016
  • Conférence
Lieu : 
Organisé par : 
GIS Grid'5000, LIG
https://www.grid5000.fr/mediawiki/index.php/Grid5000:School2016
Équipes : 
Mots clés : 
  • Parallel and distributed computing
  • Cloud
  • HPC
  • Big Data
Grid'5000 winter school in Grenoble

10 years after the Grid'5000 winter school and after the successful 2009, 2010, 2011, 2012 and 2014 editions (respectively 100, 72, 80, 67, 75 and 70 registered participants), Grid'5000 practitioners and future users are invited to gather, learn and share experience around the usage of Grid'5000 as a scientific instrument.

Hosted by Inria Grenoble Rhône-Alpes, from February 2nd to February 5th 2016, this 7th edition of the Grid'5000 school will bring together, but is not limited to, Grid'5000's newbies as well as expert-users, technical team and executive committee for 4 days of tutorials and talks focusing on best-practices and results. Presentations and practical sessions will cover basic and advanced usages of the platform as well as lessons on experiment control at large-scale. A challenge to showcase tools and environments demonstrating the deployment of distributed systems on Grid'5000 (including large-scale middleware, parallel and cloud applications, etc.) will be held this year for the fourth time. Language for the school will be English.

Grid'5000 is a large-scale and versatile testbed for experiment-driven research in all areas of computer science, with a focus on parallel and distributed computing including Cloud, HPC and Big Data.

Key features:

  • provides access to a large amount of resources: 1000 nodes, 8000 cores, grouped in homogeneous clusters, and featuring various technologies: 10G Ethernet, Infiniband, GPUs, Xeon PHI
  • highly reconfigurable and controllable: researchers can experiment with a fully customized software stack thanks to bare-metal deployment features, and can isolate their experiment at the networking layer
  • advanced monitoring and measurement features for traces collection of networking and power consumption, providing a deep understanding of experiments
  • designed to support Open Science and reproducible research, with full traceability of infrastructure and software changes on the testbed
  • a vibrant community of 500+ users supported by a solid technical team