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Automatic parallelization

Known as: Autoparallelization, Irregular algorithm, Parallelizing 
Automatic parallelization, also auto parallelization, autoparallelization, or parallelization, the last one of which implies automation when used in… 
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Papers overview

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Highly Cited
2016
Highly Cited
2016
Reinforcement learning holds the promise of enabling autonomous robots to learn large repertoires of behavioral skills with… 
Highly Cited
2016
Highly Cited
2016
Parallel implementations of stochastic gradient descent (SGD) have received significant research attention, thanks to its… 
Highly Cited
2013
Highly Cited
2013
Highly Cited
2012
Highly Cited
2012
Smartphones have exploded in popularity in recent years, becoming ever more sophisticated and capable. As a result, developers… 
Highly Cited
2007
Highly Cited
2007
Performance optimization of stencil computations has been widely studied in the literature, since they occur in many… 
Highly Cited
2002
Highly Cited
2002
List of Figures. List of Tables. Preface. Foreword. 1. Basic Concepts. 2. Evolutionary Algorithm MOP Approaches. 3. MOEA Test… 
Review
2002
Review
2002
This paper contains a modern vision of the parallelization techniques used for evolutionary algorithms (EAs). The work is… 
Review
2000
Review
2000
The watershed transform is the method of choice for image segmentation in the field of mathematical morphology. We present a… 
Highly Cited
1997
Highly Cited
1997
In this article, we present a new LINear Constraint Solver (LINCS) for molecular simulations with bond constraints. The algorithm… 
Review
1993
Review
1993
An overview of automatic program parallelization techniques is presented. It covers dependence analysis techniques, followed by a…