Network interface support for user-level buffer management

Cezary Dubnicki, Kai Li, Malena Mesarina

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

Abstract

The network interfaces of existing multicomputers and workstations require a significant amount of software overhead to provide protection and buffer management in order to implement message-passing protocols. This paper advocates a physical memory mapping method in a network interface design that supports user-level buffer management. The method requires only a minimal addition to the traditional DMA-based network interface design and eliminates the need for memory buffer management in the operating system kernel. As a result, the software overhead on message passing is reduced by up to 78% and both receive system call and receive interrupt can be avoided.

Original languageEnglish (US)
Title of host publicationParallel Computer Routing and Commumcation - 1st International Workshop, PCRCW 1994, Proceedings
EditorsKevin Bolding, Lawrence Snyder
PublisherSpringer Verlag
Pages256-265
Number of pages10
ISBN (Print)9783540584292
StatePublished - Jan 1 1994
Event1st International Workshop on Parallel Computer Routing and Communication, PCRCW 1994 - Seattle, United States
Duration: May 16 1994May 18 1994

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume853 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Workshop on Parallel Computer Routing and Communication, PCRCW 1994
CountryUnited States
CitySeattle
Period5/16/945/18/94

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Dubnicki, C., Li, K., & Mesarina, M. (1994). Network interface support for user-level buffer management. In K. Bolding, & L. Snyder (Eds.), Parallel Computer Routing and Commumcation - 1st International Workshop, PCRCW 1994, Proceedings (pp. 256-265). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 853 LNCS). Springer Verlag.