학술논문
Accelerating Mutual-Information-Based Linear Registration on the Cell Broadband Engine Processor
Document Type
Conference
Author
Source
2007 IEEE International Conference on Multimedia and Expo Multimedia and Expo, 2007 IEEE International Conference on. :272-275 Jul, 2007
Subject
Language
ISSN
1945-7871
1945-788X
1945-788X
Abstract
Emerging multi-core processors are able to accelerate medical imaging applications by exploiting the parallelism available in their algorithms. We have implemented a mutual-information-based 3D linear registration algorithm on the Cell Broadband Engine processor. By exploiting the highly parallel architecture and its high memory bandwidth, our implementation with two CBE processors can register a pair of 256×256×30 3D images in one second. This implementation is significantly faster than a conventional one on a traditional microprocessor or even faster than a previously reported custom-hardware implementation. In addition to parallelizing the code for multiple cores and organizing the data structure for reducing the amount of the memory traffic, it is also critical to optimize the code for the SIMD pipeline structure. We note that code optimization for the SIMD pipeline alone results in a 4.2x-8.7x acceleration for the computation of small kernels. Further, SIMD optimization alone results in a 4.5x end-end application speedup.