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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
2011
Highly Cited
2011
One of the key scalability challenges of on-chip coherence in a multicore chip is the coherence directory, which provides… 
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… 
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… 
2000
2000
A computer configuration design problem where the objective is to configure a parallel processor to do processing in a cost… 
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… 
1998
1998
Abstract program schemes, such as scan or homomorphism, can capture a wide range of data parallel programs. While versatile… 
Highly Cited
1993
Highly Cited
1993
Per Hammarlund~ and Bjorn Lisper tSANS—Studies of Artificial Neural Systems NADA—Department or Numerical Analysis and Computing… 
1992
1992
Efficient algorithms are described for matrix multiplication on SIMD computers. SIMD implementations of Winograd’s algorithm are… 
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
1988
Highly Cited
1988
A data parallel language such as C* has a number of advantages over conventional hypercube programming languages. The algorithm…