Abstract
This paper deals with iterative algorithm of reconstruction of 2D tomographic scans. The relative speedup of the reconstruction process as well as real–time and high fidelity imaging can be improved by implementation of distributed processing. The properties of the sequential algorithm are studied, and the scheme of coloring of projections is introduced in the concurrent version of the presented algorithm. The details of the elaborated distributed implementation of the ART (Algebraic Reconstruction Technique) are presented. Parallel implementation in a system based on dynamically configurable SMP clusters is proposed followed by performance analysis.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Kak, A.C., Slaney, M.: Principles of Computerized Tomographic Imaging. IEEE Press, New York (1988)
Hryniewicz, A.Z., Rokita, E.: Methods of Medical Diagnosis and Teraphy. PWN, Warsaw (in Polish) (2000)
Barrett, R. (ed.): Templates for the solution of linear systems: building blocks for iterative methods. SIAM, Philadelphia (1994)
Buyya, R.: High Performance Cluster Computing, vol. 2. Prentice Hall PTR, New Jersey (1999)
Tudruj, M., Masko, L.: Dynamic SMP Clusters with Communication on the Fly. In: Proceedings of the 2nd International Symposium on Parallel and Distributed Computing, ISPDC-2003, Lublana, pp. 250–257. IEEE Computer Society, Los Alamitos (2003)
Tudruj, M., Masko, L.: Communication on the Fly in Dynamic SMP Clusters – Towards Efficient Fine Grain Numerical Computations. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds.) PPAM 2004. LNCS, vol. 3019, pp. 59–68. Springer, Heidelberg (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Butrylo, B., Tudruj, M., Masko, L. (2006). Iterative Reconstruction of Tomographic Scans in Dynamic SMP Clusters with Communication on the Fly. In: Wyrzykowski, R., Dongarra, J., Meyer, N., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2005. Lecture Notes in Computer Science, vol 3911. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11752578_37
Download citation
DOI: https://doi.org/10.1007/11752578_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34141-3
Online ISBN: 978-3-540-34142-0
eBook Packages: Computer ScienceComputer Science (R0)