Print Email Facebook Twitter Parallelisation of seismic algorithms using PVM and FORGE Title Parallelisation of seismic algorithms using PVM and FORGE Author Wedemeijer, H. Cox, H.L.H. Verschuur, D.J. Ritsema, I.L. Nederlands Instituut voor Toegepaste Geowetenschappen TNO Contributor Colbrook, A. (editor) Liddell, H. (editor) Hertzberger, B. (editor) Sloot, P. (editor) Publication year 1996 Abstract The processing of seismic data, for the imaging of the earth's subsurface, is pushing current computational possibilities to the limit. In this paper results are presented obtained by optimisation and parallelisation of two innovative seismic algorithms with the use of PVM and FORGE. It shows that where the algorithm is CPU bound, a very significant speedup can be acquired, whereas IO-bound algorithms cannot take advantage of the parallel implementation. This leads to two distinct approaches for optimisation. © Springer-Verlag Berlin Heidelberg 1996. Subject Data handlingSeismologyBound algorithmsOptimisationsParallel implementationsParallelisationSeismic datasAlgorithms To reference this document use: http://resolver.tudelft.nl/uuid:910bdf6f-9f7c-4a75-88ad-f065bea731b5 DOI https://doi.org/10.1007/3-540-61142-8_569 TNO identifier 528795 Publisher Springer Verlag ISBN 9783540611424 ISSN 0302-9743 Source International Conference and Exhibition on High-Performance Computing and Networking, HPCN EUROPE 1996, 15-19 April 1996, 1067, 352-357 Series Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.