GPU-optimized Direct Fourier Method for On-line Tomography

GPU-optimized Direct Fourier Method for On-line Tomography

Bibliographic Details
Parent link:	Fundamenta Informaticae Vol. 141, iss. 2-3.— 2015.— [P. 245-258]
Corporate Author:	Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра автоматики и компьютерных систем (АИКС)
Other Authors:	Шкарин А. В. Андрей Владимирович, Ametova E. S. Evelina Serverovna, Chilingaryan S. Suren, Dritschler T. Timo, Kopmann A. Andreas, Vogelgesang M. Matthias, Shkarin R. V. Roman Vladimirovich, Tsapko S. G. Sergey Gennadyevich, Mirone A. Alessandro
Summary:	Title screen On-line monitoring of synchrotron 3D-imaging experiments requires very fast tomographic reconstruction. Direct Fourier methods (DFM) have the potential to be faster than standard Filtered Backprojection. We have evaluated multiple DFMs using various interpolation techniques. We compared reconstruction quality and studied the parallelization potential. A method using Direct Fourier Inversion (DFI) and a sinc-based interpolation was selected and parallelized for execution on GPUs. Several optimization steps were considered to boost the performance. Finally we evaluated the achieved performance for the latest generation of GPUs from NVIDIA and AMD. The results show that tomographic reconstruction with a throughput of more than 1.5 GB/sec on a single GPU is possible. Режим доступа: по договору с организацией-держателем ресурса
Language:	English
Published:	2015
Subjects:	электронный ресурс труды учёных ТПУ компьютерная томография томографическая реконструкция
Online Access:	http://dx.doi.org/10.3233/FI-2015-1274
Format:	Electronic Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=646120

Internet

http://dx.doi.org/10.3233/FI-2015-1274