Overhead (computing)

Known as: Computational overhead, Overhead 
In computer science, overhead is any combination of excess or indirect computation time, memory, bandwidth, or other resources that are required to… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1935-2018
020004000600019352017

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
In this article, the prospects and enabling technologies for high-efficiency device positioning and location-aware communications… (More)
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Review
2017
Review
2017
Hybrid multiple-antenna transceivers, which combine large-dimensional analog pre/postprocessing with lower-dimensional digital… (More)
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Highly Cited
2010
Highly Cited
2010
Cloud computing is an emerging computing paradigm in which resources of the computing infrastructure are provided as services… (More)
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Highly Cited
2010
Highly Cited
2010
A cellular base station serves a multiplicity of single-antenna terminals over the same time-frequency interval. Time-division… (More)
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Highly Cited
2010
Highly Cited
2010
Virtualization is being widely used in large-scale computing environments, such as clouds, data centers, and grids, to provide… (More)
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Highly Cited
2008
Highly Cited
2008
“Cloud” computing – a relatively recent term, builds on decades of research in virtualization, distributed computing, utility… (More)
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Highly Cited
2007
Highly Cited
2007
Status of This Memo This memo defines an Experimental Protocol for the Internet community. It does not specify an Internet… (More)
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Highly Cited
2006
Highly Cited
2006
This paper investigates the problem of partitioning a shared cache between multiple concurrently executing applications. The… (More)
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Highly Cited
2001
Highly Cited
2001
Using on-chip interconnection networks in place of ad-hoc glo-bal wiring structures the top level wires on a chip and facilitates… (More)
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Highly Cited
1989
Highly Cited
1989
We propose a network architecture which uses a single internal layer of locally-tuned processing units to learn both… (More)
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