[go: up one dir, main page]

Skip to main content

A preliminary performance evaluation of the Quadrics architecture with the DARPA image understanding benchmark

  • Conference paper
  • First Online:
High-Performance Computing and Networking (HPCN-Europe 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 919))

Included in the following conference series:

Abstract

This work presents a preliminary performance evaluation of the Quadrics SIMD massively parallel computer in the execution of a suite of image processing algorithms. The suite is extracted from the low-level and intermediate-level processing sections of the widely-used DARPA Image Understanding benchmark for parallel computers. Implementation issues are briefly described and data partitioning and mapping is addressed. Measurements carried out on two different machine configurations are reported and compared with the performance of other well-known parallel systems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Introduzione ai Sistemi Quadrics, Quadrics Parallel supercomputers Program, Alenia Spazio.

    Google Scholar 

  2. D. W. Hillis, The Connection Machine, MIT Press, Cambridge, MA, 1986.

    Google Scholar 

  3. K. Hwang, Advanced computer architecture — Parallelism, scalability, programmability, Mc Graw-Hill International Editions, 1993.

    Google Scholar 

  4. W. B. Ligon III, U. Ramachandran, “Evaluating multigauge architectures for computer vision”, Journal of Parall. and Distrib. Computing, vol. 21, pp. 323–333, 1994.

    Google Scholar 

  5. M. Maresca, M. Lavin, H. Li, “Parallel architectures for vision”, IEEE Computer, vol. 11, Nov. 1988.

    Google Scholar 

  6. M. H. Sunwoo, J. K. Aggarwal, “A sliding memory plane array processor”, IEEE Trans. Parall. Distrib. Systems, vol. 4, n. 6, pp. 601–612, Jun. 1993.

    Google Scholar 

  7. C. Weems, “Architectural requirements of image understanding with respects to parallel processing”, IEEE Proceedings, 79-4, pp. 537–547, Aprile 1991.

    Google Scholar 

  8. C. Weems, S. Levitan, A. Hanson, E. Riseman, “The Image Understanding Architecture”, Int. Journal of Computer Vision, 2, pp. 251–282, 1989.

    Google Scholar 

  9. C. Weems, E. Riseman, A. Hanson, A. Rosenfeld, “An integrated image understanding benchmark: recognition of a 2 1/2 D mobile”, Proc. 1988 DARPA Image Understanding Workshop, Morgan Kaufmann, Los Altos, CA, pp. 298–302, 1987.

    Google Scholar 

  10. C. Weems, E. Riseman, A. Hanson, A. Rosenfeld, “The DARPA image understanding benchmark for parallel computers”, Journal of Parall. and Distrib. Computing, vol. 11, pp. 1–24, 1991.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Bob Hertzberger Giuseppe Serazzi

Rights and permissions

Reprints and permissions

Copyright information

© 1995 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Piccardi, M., Cinotti, T.S., Zuffi, S. (1995). A preliminary performance evaluation of the Quadrics architecture with the DARPA image understanding benchmark. In: Hertzberger, B., Serazzi, G. (eds) High-Performance Computing and Networking. HPCN-Europe 1995. Lecture Notes in Computer Science, vol 919. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0046619

Download citation

  • DOI: https://doi.org/10.1007/BFb0046619

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-59393-5

  • Online ISBN: 978-3-540-49242-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics