Title
Performance improvements for iterative electron tomography reconstruction using graphics processing units (GPUs) Performance improvements for iterative electron tomography reconstruction using graphics processing units (GPUs)
Author
Faculty/Department
Faculty of Sciences. Physics
Publication type
article
Publication
New York ,
Subject
Physics
Source (journal)
Journal of structural biology. - New York
Volume/pages
176(2011) :2 , p. 250-253
ISSN
1047-8477
ISI
000295904200013
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
Iterative reconstruction algorithms are becoming increasingly important in electron tomography of biological samples. These algorithms, however, impose major computational demands. Parallelization must be employed to maintain acceptable running times. Graphics Processing Units (GPUs) have been demonstrated to be highly cost-effective for carrying out these computations with a high degree of parallelism. In a recent paper by Xu et al. (2010), a GPU implementation strategy was presented that obtains a speedup of an order of magnitude over a previously proposed GPU-based electron tomography implementation. In this technical note, we demonstrate that by making alternative design decisions in the GPU implementation, an additional speedup can be obtained, again of an order of magnitude. By carefully considering memory access locality when dividing the workload among blocks of threads, the GPUs cache is used more efficiently, making more effective use of the available memory bandwidth.
E-info
https://repository.uantwerpen.be/docman/iruaauth/06cc42/610ee7d0037.pdf
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