Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Evaluation of a Fast Activation Mechanism for the Kanerva SDM Memory
Number of Authors: 1
1995 (English)Report (Refereed)
Abstract [en]

The Kanerva Sparse Distributed Memory (SDM) is a mechanism for implementing a memory with a huge address space. The physical memory consists of substantially fewer locations than the virtual address space. In earlier implemen- tations of the SDM memory the addresses of all physical locations had to be scanned to determine which locations to activate. This is time-consuming, and massive parallel hardware support is needed for other than small appli- cations. This paper introduces a new mechanism for finding the active locations. Using this access mechanism, the access time may be speeded up several orders of magnitude.

Place, publisher, year, edition, pages
Swedish Institute of Computer Science , 1995, 1. , 5 p.
Series
SICS Research Report, ISSN 0283-3638 ; R95:10
Keyword [en]
SDM, sparse distributed memory, selected-coordinate design
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-21401OAI: oai:DiVA.org:ri-21401DiVA: diva2:1041437
Available from: 2016-10-31 Created: 2016-10-31Bibliographically approved

Open Access in DiVA

No full text

Other links

fulltext
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.26.0