Cart (Loading....) | Create Account
Close category search window
 

Acceleration of a Meteorological Limited Area Model with Dataflow Engines

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Oriato, D. ; Applic. Accel., Maxeler Technol., London, UK ; Tilbury, S. ; Marrocu, M. ; Pusceddu, G.

Climate and weather modeling is a significant consumer of High Performance Computing due to the hard deadlines inherent in predicting weather. Given the large data volumes and runtimes involved, climate and weather modeling is ideally suited for dataflow computation. In this paper, we demonstrate a dataflow implementation of the dynamic core of a meteorological limited area model. To achieve maximum performance we transform the computation by reordering operations and encoding the data. We present results for a domain of 13,600 x 3,333 × 30 km with 620 thousand grid points, and show speedups of up to 74x comparing an x86 CPU node to a dataflow node.

Published in:

Application Accelerators in High Performance Computing (SAAHPC), 2012 Symposium on

Date of Conference:

10-11 July 2012

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.