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. |
Rights Management |
(c) 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Format Medium |
application/pdf |
Format Extent |
1,767,786 bytes |
Identifier |
uspace,17382 |
ARK |
ark:/87278/s6jw8zm4 |
Setname |
ir_uspace |
ID |
707964 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6jw8zm4 |