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Research Directions in Parallel Functional Programming

Programming is hard. Building a large program is like constructing a steam locomotive through a hole the size of a postage stamp. An artefact that is the fruit of hundreds of person-years is only ever seen by anyone through a lOO-line window. In some ways it is astonishing that such large systems wo...

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Bibliographic Details
Other Authors: Hammond, Kevin (Editor), Michaelson, Greg (Editor)
Format: eBook
Language:English
Published: London Springer London 1999, 1999
Edition:1st ed. 1999
Subjects:
Computer Systems
Programming Techniques
Computer System Implementation
Computer Programming
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • I. Fundamentals
  • 1. Introduction
  • 2. Foundations
  • 3. Programming Language Constructs
  • 4. Proof
  • 5. Realisations for Strict Languages
  • 6. Realisations for Non-Strict Languages
  • II. Current Research Areas
  • 7. Data Parallelism
  • 8. Cost Modelling
  • 9. Shaping Distributions
  • 10. Performance Monitoring
  • 11. Memory Performance of Dataflow Programs
  • 12. Portability of Performance in the BSP Model
  • 13. Algorithmic Skeletons
  • 14. Coordination Languages
  • 15. Parallel and Distributed Programming in Concurrent Clean
  • 16. Functional Process Modelling
  • 17. Validating Programs in Concurrent ML
  • 18. Explicit Parallelism
  • III. Conclusion
  • 19. Large Scale Functional Applications
  • 20. Summary

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