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Consistency model

Known as: Strict consistency, Memory consistency, Memory consistency model 
In computer science, consistency models are used in distributed systems like distributed shared memory systems or distributed data stores (such as a… Expand
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Papers overview

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Review
2020
Review
2020
Computer vision applications based on videos often require the detection of moving objects in their first step. Background… Expand
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Review
2018
Review
2018
ABSTRACT We develop two new continuum contact models for coupled adhesion and friction, and discuss them in the context of… Expand
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Highly Cited
2011
Highly Cited
2011
Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale… Expand
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Highly Cited
2007
Highly Cited
2007
Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite… Expand
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Highly Cited
2000
Highly Cited
2000
The tradeoffs between consistency, performance, and availability are well understood. Traditionally, however, designers of… Expand
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Highly Cited
1998
Highly Cited
1998
Scalable shared-memory multiprocessors distribute memory among the processors and use scalable interconnection networks to… Expand
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Highly Cited
1992
Highly Cited
1992
Relaxed memory consistency models, such as release consistency, were introduced in order to reduce the impact of remote memory… Expand
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Highly Cited
1991
Highly Cited
1991
"A new edition of the definitive guide to logistic regression modeling for health science and other applicationsThis thoroughly… Expand
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Highly Cited
1991
Highly Cited
1991
The memory consistency model supported by a multiprocessor directly affects its performance. Thus, several attempts have been… Expand
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Highly Cited
1990
Highly Cited
1990
A new model of memory consistency, called release consistency, that allows for more buffering and pipelining than previously… Expand
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