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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… 
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Papers overview

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Highly Cited
2016
Highly Cited
2016
We present the Stanford Question Answering Dataset (SQuAD), a new reading comprehension dataset consisting of 100,000+ questions… 
Highly Cited
2015
Highly Cited
2015
The choice of approximate posterior distribution is one of the core problems in variational inference. Most applications of… 
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… 
Highly Cited
2011
Highly Cited
2011
Geo-replicated, distributed data stores that support complex online applications, such as social networks, must provide an… 
Highly Cited
2007
Highly Cited
2007
Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite… 
Review
2002
Review
2002
The mixed logit model is considered to be the most promising state of the art discrete choice model currently available… 
Review
1996
Review
1996
The memory consistency model of a system affects performance, programmability, and portability. We aim to describe memory… 
Highly Cited
1991
Highly Cited
1991
The memory consistency model supported by a multiprocessor directly affects its performance. Thus, several attempts have been… 
Highly Cited
1990
Highly Cited
1990
Scalable shared-memory multiprocessors distribute memory among the processors and use scalable interconnection networks to… 
Highly Cited
1989
Highly Cited
1989
Caching introduces the overhead and complexity of ensuring consistency, reducing some of its performance benefits. In a…