Guest Editorial: Special Section on Parallel and Distributed Computing Techniques for Non-Von Neumann Technologies

The title of this special section, Parallel and Distributed Computing Techniques for Non-Von Neumann Technologies, is a bit misleading. Technically, parallel and distributed computers already diverge from the basic architecture that John von Neumann proposed in 1945, although they are still based on...

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Vydáno v:IEEE transactions on parallel and distributed systems Ročník 33; číslo 2; s. 249 - 250
Hlavní autoři: Pakin, Scott, Teuscher, Christof, Schuman, Catherine
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.02.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Computational modeling
Computer architecture
Computer memory
Computer networks
Deep learning
Distributed computing
Distributed processing
Hardware
Memory
Neuromorphic engineering
Special issues and sections
ISSN:1045-9219, 1558-2183
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Popis
Shrnutí:The title of this special section, Parallel and Distributed Computing Techniques for Non-Von Neumann Technologies, is a bit misleading. Technically, parallel and distributed computers already diverge from the basic architecture that John von Neumann proposed in 1945, although they are still based on processors that execute a sequence of instructions, each of which performs a simple action such as computing an arithmetic result, reading or writing memory, or branching to a new location in the instruction sequence. But what would a computer that is not based on this model of execution look like? The technologies discussed in the following articles are more exotic, more innovative, and more intriguing than what you are likely to encounter in a typical collection of peer reviewed computer-science articles. We hope that these articles will help you view computing in a new light and give you a sense of what the future of computing may look like.
Bibliografie:SourceType-Scholarly Journals-1
content type line 14
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ObjectType-Commentary-1
ISSN:1045-9219
1558-2183
DOI:10.1109/TPDS.2021.3093148