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Fine-grained visualization pipelines and lazy functional languages.

David Duke1, Malcolm Wallace, Rita Borgo

  • 1School of Computing, University of Leeds, UK. djd@comp.leeds.ac.uk

IEEE Transactions on Visualization and Computer Graphics
|November 4, 2006
PubMed
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This study explores using lazy functional languages for visualization systems, offering a more flexible and expressive approach than traditional stateful methods. This enhances data processing and application development in visualization.

Area of Science:

  • Computer Science
  • Data Visualization
  • Programming Languages

Background:

  • The pipeline model is a core architecture for visualization systems, evolving to include streaming and distributed processing.
  • Traditional visualization systems rely on stateful programming, often leading to inflexibility and lost expressiveness in lower-level services.
  • Existing architectures require explicit implementation of advanced capabilities, limiting developer flexibility.

Purpose of the Study:

  • To investigate the suitability of lazy functional languages for implementing visualization systems.
  • To demonstrate how functional programming can enhance expressiveness and flexibility in visualization pipelines.
  • To explore the benefits of demand-driven computation and functional abstraction in visualization.

Main Methods:

Related Experiment Videos

  • Expressing visualization systems using a lazy functional language, specifically Haskell.
  • Utilizing surface extraction algorithms as case studies to illustrate the approach.
  • Comparing the functional approach with traditional stateful programming models for visualization.

Main Results:

  • Lazy functional languages naturally support demand-driven processing and streaming, aligning well with visualization needs.
  • The functional approach in Haskell allows for clear, concise expression of complex visualization algorithms.
  • Fine-grained, demand-driven computation offers improved flexibility and expressive power compared to traditional methods.

Conclusions:

  • Lazy functional languages provide a more natural and powerful paradigm for building modern visualization systems.
  • Functional abstraction offers new insights into visualization design and implementation.
  • This approach enhances both the clarity of expression and computational efficiency in visualization applications.