%0 Conference Paper
%A Adinets, Andrey
%A Kraus, Jiri
%A Axer, Markus
%A Huysegoms, Marcel
%A Köhnen, Stefan
%A Pleiter, Dirk
%T Computation of Mutual Information Metric for Image Registration on Multiple GPUs
%V 8374
%C Berlin, Heidelberg
%I Springer Berlin Heidelberg
%M FZJ-2014-03047
%@ 978-3-642-54419-4 (print)
%B Lecture Notes in Computer Science
%P 208 - 217
%D 2014
%< Euro-Par 2013: Parallel Processing Workshops
%X Because of their computational power, GPUs are widely used in the field of image processing. Registration of brain images has already been successfully accelerated with GPUs, but registration of high-resolution human brain images presents new challenges due to large amounts of data and images not fitting in the memory of a single device.In this paper, we address this issue with two approaches. The first approach replicates image data in system memory of each node and distributes only a part of the data over multiple GPUs. The second approach splits image data between multiple GPUs, and overlaps computation and communication to hide latency. For both approaches, we present a performance analysis and comparison.
%B Euro-Par 2013: Parallel Processing Workshops
%C 25 Aug 2013 - 30 Aug 2013, Aachen (Germany)
Y2 25 Aug 2013 - 30 Aug 2013
M2 Aachen, Germany
%F PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
%9 Contribution to a conference proceedingsContribution to a book
%R 10.1007/978-3-642-54420-0_21
%U https://juser.fz-juelich.de/record/153430