Image processing as an exemplar of parallelism applied to graphics

  • Authors:
  • Harry F. Smith;Patrick Plusnick;Mark Sarojak;William Seitz

  • Affiliations:
  • University of North Carolina at Wilmington;University of North Carolina at Wilmington;Wake Forest University;Oberlin College

  • Venue:
  • SIGCSE '96 Proceedings of the twenty-seventh SIGCSE technical symposium on Computer science education
  • Year:
  • 1996

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Abstract

In surveying the possible applications of parallel computing, computer graphics is singularly attractive. This is because many computer graphics algorithms are so computationally intensive and yet also inherently very parallel in nature. The primary objective of an NSF grant to the University of North Carolina at Wilmington was to establish parallel computing in the undergraduate curriculum. A secondary objective was to address the issue of parallelism for computer graphics; however, curricular constraints made this difficult to do. Our response to this difficulty was twofold. For one, we focused on image processing as a more accessible, but very significant, alternative to ordinary computer graphics. Also, as a means of enabling deeper student involvement, we were able to supplement the original equipment grant (ILI) with one for supporting student research (REU).