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Data parallelism

Known as: Data level parallelism, Data-parallelism, Data-level parallelism 
Data parallelism is a form of parallelization across multiple processors in parallel computing environments. It focuses on distributing the data… 
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Papers overview

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Highly Cited
2017
Highly Cited
2017
Modern homogeneous parallel platforms are composed of tightly integrated multicore CPUs. This tight integration has resulted in… 
Highly Cited
2008
Highly Cited
2008
This paper presents a fast object class localization framework implemented on a data parallel architecture currently available in… 
Highly Cited
2008
Highly Cited
2008
Xetal-II is a single-instruction multiple-data (SIMD) processor with 320 processing elements. It delivers a peak performance of… 
2004
2004
Emerging embedded system applications in multimedia and image processing are characterized by complex control flow consisting of… 
Highly Cited
2001
Highly Cited
2001
The rapid growth of silicon densities has made it feasible to deploy reconfigurable hardware as a highly parallel computing… 
Highly Cited
1998
Highly Cited
1998
Languages that support task and data parallelism are highly general and can exploit both forms of parallelism in a single… 
Highly Cited
1991
Highly Cited
1991
An algorithm for rendering of orthographic views of volume data on data-parallel computer architectures is described. In… 
Highly Cited
1990
Highly Cited
1990
The Connection Machine development effort was initiated in the belief that parallel processing and artificial intelligence could…