Open Performance portablE SeismiC Imaging–-OPESCI

TitleOpen {Performance} {portablE} {SeismiC} {Imaging}–-{OPESCI}
Publication TypeSINBAD Presentation
AuthorsGerard Gorman, Marcos de Aguiar, David Ham, Felix J. Herrmann, Paul Kelly, Navjot Kukreja, Michael Lange, Mathias Louboutin, Fabio Luporini, Paulius Velesko, Vincenzo Pandolfo, Felippe Vieira Zacarias
PublisherSINBAD
Year of Publication2016
Abstract

In this project, we introduce OPESCI-FD, a Python package built on symbolic mathematics to automatically generate Finite Difference models from a high-level description of the model equations. We investigate applying this framework to generate the propagator program used in seismic imaging. We implement the 3D acoustic and anisotropic FD scheme as an example and demonstrate the advantages of usability, flexibility and accuracy of the framework. The design of OPESCI-FD aims to allow rapid development, analysis and optimisation of Finite Difference programs. OPESCI-FD is the foundation for continuing development by the OPESCI project team, building on the research presented in this report. This talk concludes by reviewing the further developments that are already under way, as well as the scope for extension to cater for other equations and numerical schemes. This joint work with SINBAD and SENAI CIMATEC and has received additional funding from Intel.

KeywordsPresentation, private, SINBAD, SINBADFALL2016, SLIM
URLhttps://www.slim.eos.ubc.ca/Publications/Private/Conferences/SINBAD/2016/Fall/gorman2016SINBADFopp/gorman2016SINBADFopp.pdf
URL1

https://www.slim.eos.ubc.ca/Publications/Private/Conferences/SINBAD/2016...

Citation Keygorman2016SINBADFopp