Informace o publikaci

Deconvolution of huge 3-D images: Parallelization strategies on a multi-GPU system

Název česky Dekonvoluce velkých 3-D obrazů: Strategie pro paralelizaci na multi-GPU systému
Autoři

KARAS Pavel KUDERJAVÝ Michal SVOBODA David

Rok publikování 2013
Druh Článek ve sborníku
Konference Algorithms and Architectures for Parallel Processing
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
www http://dx.doi.org/10.1007/978-3-319-03859-9_24
Doi http://dx.doi.org/10.1007/978-3-319-03859-9_24
Obor Informatika
Klíčová slova deconvolution; gpu; multi-gpu; parallelization; implementation; algorithm; em-mle; richardson-lucy; ictm; wiener
Popis In this paper, we discuss strategies to parallelize selected deconvolution methods on a multi-GPU system. We provide a comparison of several approaches to split the deconvolution into subtasks while keeping the amount of costly data transfers as low as possible, and propose own implementation of three deconvolution methods which achieves up to 65x speedup over the CPU one. In the experimental part, we analyse how the individual stages of the computation contribute to the overall computation time as well as how the multi-GPU implementation scales in various setups. Finally, we identify bottlenecks of the system.
Související projekty:

Používáte starou verzi internetového prohlížeče. Doporučujeme aktualizovat Váš prohlížeč na nejnovější verzi.

Další info