ISP: An optimal out-of-core image-set processing streaming architecture for parallel heterogeneous systems

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Publication Type Journal Article
School or College College of Engineering
Department Computing, School of
Creator Silva, Claudio T.
Other Author Ha, Linh Khanh; Krüger, Jens; Comba, Joao Luiz Dihl; Joshi, Sarang
Title ISP: An optimal out-of-core image-set processing streaming architecture for parallel heterogeneous systems
Date 2012-01-01
Description Image population analysis is the class of statistical methods that plays a central role in understanding the development, evolution, and disease of a population. However, these techniques often require excessive computational power and memory that are compounded with a large number of volumetric inputs. Restricted access to supercomputing power limits its influence in general research and practical applications. In this paper we introduce ISP, an Image-Set Processing streaming framework that harnesses the processing power of commodity heterogeneous CPU/GPU systems and attempts to solve this computational problem. In ISP, we introduce specially designed streaming algorithms and data structures that provide an optimal solution for out-of-core multiimage processing problems both in terms of memory usage and computational efficiency. ISP makes use of the asynchronous execution mechanism supported by parallel heterogeneous systems to efficiently hide the inherent latency of the processing pipeline of out-of-core approaches. Consequently, with computationally intensive problems, the ISP out-of-core solution can achieve the same performance as the in-core solution. We demonstrate the efficiency of the ISP framework on synthetic and real datasets.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Volume 18
Issue 6
First Page 838
Last Page 851
Dissertation Institution University of Utah
Language eng
Bibliographic Citation Ha, L. K., Krüger, J., Comba, J. L. D., Silva, C.T., & Joshi, S. (2012). ISP: An optimal out-of-core image-set processing streaming architecture for parallel heterogeneous systems. IEEE Transactions on Visualization and Computer Graphics, 18(6), 6144060, 838-51.
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Format Medium application/pdf
Format Extent 1,767,786 bytes
Identifier uspace,17382
ARK ark:/87278/s6jw8zm4
Setname ir_uspace
Date Created 2012-08-01
Date Modified 2012-08-20
ID 707964
Reference URL https://collections.lib.utah.edu/ark:/87278/s6jw8zm4
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