Skip to main content

A Case Study in Pipeline Processor Farming: Parallelising the H.263 Encoder

  • Conference paper
UK Parallel ’96

Abstract

This paper describes the parallelisation of the H.263 hybrid video encoder algorithm based upon a pipelines of processor farms (PPF) paradigm. In addition, a data-farming template, which can be very useful for several image coding algorithms, was incorporated in the PPF model. A variety of parallel topologies were implemented in order to obtain the best time performance for an eight processor distributed-memory machine. Results show that, due to communication overheads and algorithm constraints, the speed-up performance is below the value predicted by static analysis. However, the design examples indicated how to modify the PPF methodology in identifying those algorithm components which restrict scaling performance. The paper highlights the problems associated with the parallelisation of sequential algorithms and emphasises the need for generic tools to facilitate such conversion.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. “ITU-T Recommendation H.263”, Technical Report, 1995.

    Google Scholar 

  2. A. C. Downton, R. W.S. Tregidgo, A. Cuhadar “Top-down Structured Parallelisation of Embedded Image Processing Applications”, IEE Proc. Vis. Image Signal Process., Vol. 141, No. 6, pp. 431–437, Dec. 1994.

    Article  Google Scholar 

  3. A. C. Downton, “Generalised Approach to Parallelising Image Sequence Coding Algorithms”, IEE Proc. Vis. Image Signal Process., Vol. 141, No. 6, pp. 438–445, Dec. 1994.

    Article  Google Scholar 

  4. G. M. Amdahl, “Limits of Expectation”, Int. J. Supercomput. Appl., pp. 88–94, No. 2, 1982.

    Article  Google Scholar 

  5. A. Geist, A. Beguelin, J. Dongarra, W. Jiang, R. Manchek, V. Sunderam, “PVM: Parallel Virtual Machine—A Users’ Guide and Tutorial for Networked Parallel Computing”, The MIT Press, Cambridge, MA, USA, 1994.

    MATH  Google Scholar 

  6. A. C. Downton “Speed-Up Trend Analysis for H.261 and Model-Based Image Coding Algorithms Using a Parallel-Pipeline Model”, Signal Processing: Image Communication, Vol. 7, pp. 489–502, 1995.

    Article  Google Scholar 

  7. D. Bailey, M. Cressa, J. Fandrianto, D. Neubauer, H. Rainnie, Ch-Sh. Wang, “Programmable Vision Processor/Controller for Flexible Implementation of Current and Future Image Compression Standards”, IEEE Micro, pp. 33–39. Oct. 1992.

    Google Scholar 

  8. Transtech Parallel Systems Corporation “The Paramid Users Guide”, 1993.

    Google Scholar 

  9. M. Atkins, “Performance of the i860 Microprocessor”, IEEE Micro, pp. 24–78, Oct. 1991.

    Google Scholar 

  10. M. Fleury, H.P. Sava, A.C. Downton and A.F. Clark “Designing and Instrumenting a Software Template for Embedded Parallel Systems”, In this volume.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Springer-Verlag London Limited

About this paper

Cite this paper

Sava, H., Fleury, M., Downton, A.C., Clark, A.F. (1996). A Case Study in Pipeline Processor Farming: Parallelising the H.263 Encoder. In: Jesshope, C., Shafarenko, S. (eds) UK Parallel ’96. Springer, London. https://doi.org/10.1007/978-1-4471-1504-5_14

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-1504-5_14

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-76068-9

  • Online ISBN: 978-1-4471-1504-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics