Implementation of Kirchhoff prestack depth migration on GPU

Autor:	Sampath Gajawada, Alex Yeh, Davide Teixeira
Rok vydání:	2013
Předmět:	CUDA Computer science Computer graphics (images) Field data Prestack Graphics Massively parallel Computational science
Zdroj:	SEG Technical Program Expanded Abstracts 2013.
DOI:	10.1190/segam2013-0979.1
Popis:	The massively parallel nature of Graphics Processing Units has made them an attractive platform for some computationally intensive algorithms. This article presents a method to run 3D Kirchhoff prestack depth migration on GPU-based clusters. Compared to a CPU only version of the same algorithm, the new approach delivers a significantly greater efficiency. An actual production run with field data reveals the extent of the improvements.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e358629d7bb22044d84cc37bf399f1eb https://doi.org/10.1190/segam2013-0979.1 Zobrazit plný text záznamu