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SAMOS
2009
Springer

Experiences with Cell-BE and GPU for Tomography

12 years 2 months ago
Experiences with Cell-BE and GPU for Tomography
Tomography is a powerful technique for three-dimensional imaging, that deals with image reconstruction from a series of projection images, acquired along a range of viewing directions. An important part of any tomograph system is the reconstruction algorithm. Iterative reconstruction algorithms have many advantages over non-iterative methods, yet their running time can be prohibitively long. As these algorithms have high potential for parallelization, multi-core architectures, such as the Cell-BE and GPU, can possibly alleviate this problem. In this paper, we describe our experiences in mapping the basic operations of iterative reconstruction algorithms onto these platforms. We argue that for this type of problem, the GPU yields superior performance compared to the Cell-BE. Performance results of our implementation demonstrate a speedup of over 40 for a single GPU, compared to a single-core CPU version. By combining eight GPUs and a quad-core CPU in a single system, similar performance...
Sander van der Maar, Kees Joost Batenburg, Jan Sij
Added 27 May 2010
Updated 27 May 2010
Type Conference
Year 2009
Where SAMOS
Authors Sander van der Maar, Kees Joost Batenburg, Jan Sijbers
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