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Mapping Iterative Medical Imaging Algorithm on Cell Accelerator
Joint Authors
Xu, Meilian
Thulasiraman, Parimala
Source
International Journal of Biomedical Imaging
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-09-11
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Algebraic reconstruction techniques require about half the number of projections as that of Fourier backprojection methods, which makes these methods safer in terms of required radiation dose.
Algebraic reconstruction technique (ART) and its variant OS-SART (ordered subset simultaneous ART) are techniques that provide faster convergence with comparatively good image quality.
However, the prohibitively long processing time of these techniques prevents their adoption in commercial CT machines.
Parallel computing is one solution to this problem.
With the advent of heterogeneous multicore architectures that exploit data parallel applications, medical imaging algorithms such as OS-SART can be studied to produce increased performance.
In this paper, we map OS-SART on cell broadband engine (Cell BE).
We effectively use the architectural features of Cell BE to provide an efficient mapping.
The Cell BE consists of one powerPC processor element (PPE) and eight SIMD coprocessors known as synergetic processor elements (SPEs).
The limited memory storage on each of the SPEs makes the mapping challenging.
Therefore, we present optimization techniques to efficiently map the algorithm on the Cell BE for improved performance over CPU version.
We compare the performance of our proposed algorithm on Cell BE to that of Sun Fire ×4600, a shared memory machine.
The Cell BE is five times faster than AMD Opteron dual-core processor.
The speedup of the algorithm on Cell BE increases with the increase in the number of SPEs.
We also experiment with various parameters, such as number of subsets, number of processing elements, and number of DMA transfers between main memory and local memory, that impact the performance of the algorithm.
American Psychological Association (APA)
Xu, Meilian& Thulasiraman, Parimala. 2011. Mapping Iterative Medical Imaging Algorithm on Cell Accelerator. International Journal of Biomedical Imaging،Vol. 2011, no. 2011, pp.1-11.
https://search.emarefa.net/detail/BIM-502754
Modern Language Association (MLA)
Xu, Meilian& Thulasiraman, Parimala. Mapping Iterative Medical Imaging Algorithm on Cell Accelerator. International Journal of Biomedical Imaging No. 2011 (2011), pp.1-11.
https://search.emarefa.net/detail/BIM-502754
American Medical Association (AMA)
Xu, Meilian& Thulasiraman, Parimala. Mapping Iterative Medical Imaging Algorithm on Cell Accelerator. International Journal of Biomedical Imaging. 2011. Vol. 2011, no. 2011, pp.1-11.
https://search.emarefa.net/detail/BIM-502754
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-502754