[Go-essp-tech] EGU 2015 last minute remind - ESSI2.6 Earth science on Cloud, HPC and Grid

Sébastien Denvil sebastien.denvil at ipsl.jussieu.fr
Tue Jan 6 08:37:08 MST 2015


Dear Colleague,

With apologies for cross-posting.

We would like to draw your attention on the following session at the 
next EGU meeting (12 April -- 17 April 2015) in Vienna, Austria:

ESSI2.6 Earth science on Cloud, HPC and Grid

Conveners: Horst Schwichtenberg, Sébastien Denvil, Monique Petitdidier, 
Wim Som de Cerff

Deadline for abstract submission: 7 January 2015

http://meetingorganizer.copernicus.org/EGU2015/session/17175

More session details can be found at the bottom of this e-mail.

Best regards,

Sébastien Denvil

on behalf of the organizing committee,

Horst Schwichtenberg (SCAI Fraunhofer, Germany)

Monique Petitdidier (LATMOS, France)

Wim Som de Cerff (KNMI, Netherlands)

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Session description.

This ´traditional´ session aims at highlighting Earth Science research 
targeting or concerned with state of the art computational and data 
infrastructures such as HPC (Supercomputers), Grids, Clouds and 
accelerator-based systems (GPGPU, FPGA).

The session presents an opportunity for everyone to present and learn 
from results achieved, success stories and experience gathered during 
the process of study, adaptation and exploitation of these systems.
In addition, contributions are welcome that showcase middleware and 
tools developed to support Earth science applications on HPC systems, 
Grid and Cloud infrastructures, e.g. to increase effectivity, 
robustness, or ease of use.

Topics of interest thus include:
- Data intensive Earth Science applications and how they have been 
adapted to different HPC infrastructures
- Data mining software stacks to deal with large environmental data
- Combination of Data mining and HPC simulation
- Experience with Earth Science data and applications in Cloud 
environments e.g. solutions on Amazon EC2, Microsoft Azure, and Earth 
Science simulation codes running on Cloud Infrastructures or Platforms.
- Earth Science applications executed on "traditional" Grid 
Infrastructures, HPC and data-oriented architectures (e.g. Hadoop).
- Tools and services for Earth Science data management, workflow 
execution, web services and portals to ease access to compute resources.
- Tools and Middleware for Earth Science applications on Grid, Cloud and 
on High Performance Computing infrastructures.
- How the current development of the platforms and middleware relate to 
the requirements of Earth Science researchers and applications?

This session offers a unique opportunity to bridge the Cloud, Grid, HPC, 
Data-mining and Geoscience communities

-- 
Sébastien Denvil
IPSL, Pôle de modélisation du climat
UPMC, Case 101, 4 place Jussieu,
75252 Paris Cedex 5

Tour 45-55 2ème étage Bureau 209
Tel: 33 1 44 27 21 10
Fax: 33 1 44 27 39 02


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