[CODATA-international] AGU 2019: Data-Oriented and Self-Optimizing Architectures and Workflows for Earth, Space and Climate Science Applications

[Christian Pagé]

 (sincere apologies for cross-posting)...



 
 
Dear colleague,

We would like to encourage you to submit an abstract to the following session of the Fall 2019 American Geophysical Union meeting in San Francisco, CA (December 9-13). It will be the centennial of AGU with special events!


Data-Oriented and Self-Optimizing Architectures and Workflows for Earth, Space and Climate Science Applications (IN Session ID# 77921)
https://agu.confex.com/agu/fm19/prelim.cgi/Session/77921 <https://agu.confex.com/agu/fm19/prelim.cgi/Session/77921>
 
The goal of this session is to discuss innovative approaches and new ideas on data distribution platforms, architectures, and workflows themselves to support research in Earth and Space Sciences. There will also be invited speakers in this session.

Achieving research progress depends on dealing with increasing volumes of data for pre-processing, analyses, visualization and numerical modeling. Research infrastructures must accommodate those requirements transparently, using heterogeneous backends, provided by e-infrastructure services such as Clouds. Developers need to reach across infrastructure boundariestransparently, while effectively moving data processing and analysis, but not control, away from users and closer to the data. They should deliver transparent combination and optimization of workflows over heterogeneous contexts, such as pipelining HPC codes, data transformation and analytics. Innovative approaches are needed to support the scientific data life cycle in the context of large-scale data and diverse infrastructures.
 
Presentations are encouraged on, but are not limited to:
            • Novel research architectures;
            • Workflows and intelligent optimization;
            • HPC integration and data-driven approaches, including HPC on the Cloud;
            • Provenance;
            • Front-ends and services designed for large-scale data-oriented solutions.

We look forward to a stimulating set of talks and discussions, and hope that you will consider participating. Please note that the strict deadline for abstract submission is Wednesday, 31 July at 23:59 EDT.


To submit an abstract to this session:
https://agu.confex.com/agu/fm19/in/papers/index.cgi?sessionid=77921 <https://agu.confex.com/agu/fm19/in/papers/index.cgi?sessionid=77921>
and general information about abstract submissions:
https://agu.confex.com/agu/fm19/prelim.cgi/Home/0 <https://agu.confex.com/agu/fm19/prelim.cgi/Home/0>
 
Please circulate this to your colleagues who may have interest in this session.  We look forward to receiving your contribution.



Best regards,

Christian Pagé
CERFACS, France
 
Rosa Filgueira
University of Edinburghm, EPCC, UK
 
Iraklis Klampanos
National Centre for Scientific Research “Demokritos”, Greece


Alessandro Spinuso
KNMI, De Bilt, Netherlands
 
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