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Improving edge finite element assembly for geophysical electromagnetic modelling on shared-memory architectures

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10.1109/UEMCON.2016.7777804
 
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hdl:2117/100324

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Castillo Reyes, OctavioMés informacióMés informació
de la Puente, Josep
Cela, Jose M.
Document typeConference report
Defense date2016-12-12
PublisherIEE
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectGEAGAM - Geophysical Exploration using Advanced GAlerkin Methods (EC-H2020-644202)
HPC4E - HPC for Energy (EC-H2020-689772)
Abstract
This work presents a set of node-level optimizations to perform the assembly of edge finite element matrices that arise in 3D geophysical electromagnetic modelling on shared-memory architectures. Firstly, we describe the traditional and sequential assembly approach. Secondly, we depict our vectorized and shared-memory strategy which does not require any low level instructions because it is based on an interpreted programming language, namely, Python. As a result, we obtained a simple parallel-vectorized algorithm whose runtime performance is considerably better than sequential version. The set of optimizations have been included to the work-flow of the Parallel Edge-based Tool for Geophysical Electromagnetic Modelling (PETGEM) which is developed as open-source at the Barcelona Supercomputing Center. Finally, we present numerical results for a set of tests in order to illustrate the performance of our strategy.
CitationCastillo-Reyes, Octavio; de la Puente, Josep; Cela, Jose M. Improving edge finite element assembly for geophysical electromagnetic modelling on shared-memory architectures. A: IEEE Annual Conference in Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 20-22 Oct. 2016. "Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), IEEE Annual". IEE, 2016, p. 1-6. 
URIhttp://hdl.handle.net/2117/100324
DOI10.1109/UEMCON.2016.7777804
ISBN978-1-5090-1496-5
Publisher versionhttp://ieeexplore.ieee.org/document/7777804/
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