Improving edge finite element assembly for geophysical electromagnetic modelling on shared-memory architectures
Visualitza/Obre
10.1109/UEMCON.2016.7777804
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/100324
Tipus de documentText en actes de congrés
Data publicació2016-12-12
EditorIEE
Condicions d'accésAccés obert
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
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ProjecteGEAGAM - Geophysical Exploration using Advanced GAlerkin Methods (EC-H2020-644202)
HPC4E - HPC for Energy (EC-H2020-689772)
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.
CitacióCastillo-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.
ISBN978-1-5090-1496-5
Versió de l'editorhttp://ieeexplore.ieee.org/document/7777804/
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Improving Edge Finite Element Assembly For.pdf | 275,1Kb | Visualitza/Obre |