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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Veröffentlicht in:IEEE transactions on parallel and distributed systems Jg. 33; H. 2; S. 249 - 250
Hauptverfasser: Pakin, Scott, Teuscher, Christof, Schuman, Catherine
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.02.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:1045-9219, 1558-2183
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Abstract 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.
AbstractList 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 peerreviewed 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. Silent-PIM: Realizing the Processing-in-Memory Computing with Standard Memory Requests, by Kim et al. [A1], presents a new approach to performing computation within the computer’s memory system.
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.
Author Teuscher, Christof
Pakin, Scott
Schuman, Catherine
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  organization: Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
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Snippet The title of this special section, Parallel and Distributed Computing Techniques for Non-Von Neumann Technologies, is a bit misleading. Technically, parallel...
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SubjectTerms Computational modeling
Computer architecture
Computer memory
Computer networks
Deep learning
Distributed computing
Distributed processing
Hardware
Memory
Neuromorphic engineering
Special issues and sections
Title Guest Editorial: Special Section on Parallel and Distributed Computing Techniques for Non-Von Neumann Technologies
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