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Iterative Reconstruction of Tomographic Scans in Dynamic SMP Clusters with Communication on the Fly

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Parallel Processing and Applied Mathematics (PPAM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3911))

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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.

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References

  1. Kak, A.C., Slaney, M.: Principles of Computerized Tomographic Imaging. IEEE Press, New York (1988)

    MATH  Google Scholar 

  2. Hryniewicz, A.Z., Rokita, E.: Methods of Medical Diagnosis and Teraphy. PWN, Warsaw (in Polish) (2000)

    Google Scholar 

  3. Barrett, R. (ed.): Templates for the solution of linear systems: building blocks for iterative methods. SIAM, Philadelphia (1994)

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  4. Buyya, R.: High Performance Cluster Computing, vol. 2. Prentice Hall PTR, New Jersey (1999)

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  5. 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)

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  6. 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)

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© 2006 Springer-Verlag Berlin Heidelberg

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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

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  • 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)

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