Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
NAS parallel benchmarks (NPB) are a set of applications commonly used to evaluate parallel systems. We use the NPB-OpenMP version… 
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… 
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… 
Highly Cited
1991
Highly Cited
1991
An algorithm for rendering of orthographic views of volume data on data-parallel computer architectures is described. In…