Analysis of I/O subsystem design for multimedia workstations

Peter Druschel, Mark B. Abbott, Michael Pagels, Larry Lee Peterson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper argues that the CPU/memory data path is a potential throughput bottleneck in multimedia workstations, and analyzes the implications for the design of the I/O data path. It identifies known techniques for optimizing the data path, and highlights subtle interactions that occur when these techniques are used in combination. The paper concludes by proposing an abstract type for data buffers, called IOData, and argues that this abstraction provides a flexible basis for the end-to-end optimization of the I/O data path.

Original languageEnglish (US)
Title of host publicationNetwork and Operating System Support for Digital Audio and Video - 3rd International Workshop, Proceedings
PublisherSpringer Verlag
Pages289-301
Number of pages13
Volume712 LNCS
ISBN (Print)9783540571834
Publication statusPublished - 1993
Event3rd International Workshop on Network and Operating System Support for Digital Audio and Video, 1992 - La Jolla, United States
Duration: Nov 12 1992Nov 13 1992

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume712 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Workshop on Network and Operating System Support for Digital Audio and Video, 1992
CountryUnited States
CityLa Jolla
Period11/12/9211/13/92

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Druschel, P., Abbott, M. B., Pagels, M., & Peterson, L. L. (1993). Analysis of I/O subsystem design for multimedia workstations. In Network and Operating System Support for Digital Audio and Video - 3rd International Workshop, Proceedings (Vol. 712 LNCS, pp. 289-301). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 712 LNCS). Springer Verlag.