TY  - CONF
AU  - Adinets, Andrey
AU  - Kraus, Jiri
AU  - Axer, Markus
AU  - Huysegoms, Marcel
AU  - Köhnen, Stefan
AU  - Pleiter, Dirk
TI  - Computation of Mutual Information Metric for Image Registration on Multiple GPUs
VL  - 8374
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
M1  - FZJ-2014-03047
SN  - 978-3-642-54419-4 (print)
T2  - Lecture Notes in Computer Science
SP  - 208 - 217
PY  - 2014
AB  - 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.
T2  - Euro-Par 2013: Parallel Processing Workshops
CY  - 25 Aug 2013 - 30 Aug 2013, Aachen (Germany)
Y2  - 25 Aug 2013 - 30 Aug 2013
M2  - Aachen, Germany
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
DO  - DOI:10.1007/978-3-642-54420-0_21
UR  - https://juser.fz-juelich.de/record/153430
ER  -