IEEE Cluster 2014
by
kairkanov
—
last modified
Apr 23, 2014 09:10 PM
When |
Sep 22, 2014 09:05 AM
to
Sep 26, 2014 09:05 PM |
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Where | Madrid, School of Industrial Engineering |
Contact Name | cluster2014@pacifico-meetings.com |
Contact Phone | +34 913 836 000 |
Attendees |
Important Dates April 24, 2014 Abstracts (required) due May 2, 2014 Full Papers Due June 30, 2014 Paper Acceptance Notification 3 March 2014 Workshop proposals due 24 March 2014 Workshop decisions announced May 19, 2014 Tutorial Submission June 13, 2014 Tutorial Notification of acceptance |
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Welcome to IEEE Cluster 2014. The conference will be held 22-26 September 2014 at the School of Industrial Engineering, UPM.
Clusters have become the workhorse for computational science and engineering research, powering innovation and discovery that advance science and society. They are the base for building today's rapidly evolving cloud and HPC infrastructures, and are used to solve some of the most complex problems.
Cluster 2014 welcomes paper submissions on innovative work from researchers and practitioners in academia, government, and industry that describe original research and development efforts in cluster computing.
Major topics of interest include, but are not limited to:
- System Design, Configuration and Administration
- System Software, Middleware, Tools
- Storage and File Systems
- Algorithms, Applications and Performance
2014 Highlight: Cluster Support for Big Data. The evolution of cluster technologies is expected to substantially impact emerging research areas, such as the increasingly important Data Science field. Therefore, we have chosen this year to highlight research topics in all areas expected to bring substantial progress in the way clusters can help in addressing Big Data challenges. Specific topics are dedicated to this direction within all conference tracks alongside more traditional topics. In addition, special tutorials and workshops will focus on cluster technologies for Big Data storage and processing.
New this year: Student Mentoring Track. Today's Master and PhD students are our future colleagues. The future development of cluster, grid and could computing falls on their shoulders. The Cluster conference is proud to contribute to their education through a specific mentoring program all along the week.