Parallel Rendering.

Abstract

In computer graphics, rendering is the process by which an abstract description of a scene is converted to an image. When the scene is complex, or when high-quality images or high frame rates are required, the rendering process becomes computationally demanding. To provide the necessary levels of performance, parallel computing techniques must be brought to bear. Although parallelism has been exploited in computer graphics since the early days of the field, its initial use was primarily in specialized applications. The VLSI revolution of the late 1970's and the advent of scalable parallel computers during the late 1980's changed this situation. Today, parallel hardware is routinely used in graphics workstations, and numerous software-based rendering systems have been developed for general-purpose parallel architectures. This article provides a broad introduction to the subject of parallel rendering, encompassing both hardware and software systems. The focus is on the underlying concepts and the issues which arise in the design of parallel rendering algorithms and systems. We examine the different types of parallelism and how they can be applied in rendering applications. Concepts from parallel computing, such as data decomposition, task granularity, scalability, and load balancing, are considered in relation to the rendering problem. We also explore concepts from computer graphics, such as coherence and projection, which have a significant impact on the structure of parallel rendering algorithms. Our survey covers a number of practical considerations as well, including the choice of architectural platform, communication and memory requirements, and the problem of image assembly and display. (KAR)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1995
Accession Number
ADA296399

Entities

People

  • Thomas W. Crockett

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Assembly
  • Computer Graphics
  • Computers
  • Decomposition
  • Graphics
  • Parallel Computing
  • Platforms
  • Revolutions
  • Scalability

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Economics
  • Parallel and Distributed Computing.