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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… Expand
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Highly Cited
2018
Highly Cited
2018
Recent hardware developments have dramatically increased the scale of data parallelism available for neural network training… Expand
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Highly Cited
2013
Highly Cited
2013
Graphics Processing Units (GPUs) have evolved into highly parallel and fully programmable architecture over the past five years… Expand
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Highly Cited
2011
Highly Cited
2011
For more than thirty years, the parallel programming community has used the dependence graph as the main abstraction for… Expand
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2011
2011
Nearly two decades of research in the area of Inductive Logic Programming (ILP) have seen steady progress in clarifying its… Expand
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Highly Cited
2009
Highly Cited
2009
Irregular programs are programs organized around pointer-based data structures such as trees and graphs. Recent investigations by… Expand
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Highly Cited
2007
Highly Cited
2007
Irregular applications, which manipulate large, pointer-based data structures like graphs, are difficult to parallelize manually… Expand
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Highly Cited
2006
Highly Cited
2006
GPUs are difficult to program for general-purpose uses. Programmers can either learn graphics APIs and convert their applications… Expand
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Highly Cited
2001
Highly Cited
2001
  • Frank Müller
  • IEEE International Symposium on Parallel…
  • 2001
  • Corpus ID: 29979536
Cognitive Radio Networks (CRNs) are the key enabling technology for realizing Opportunistic Spectrum Access (OSA) to alleviate… Expand
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Highly Cited
2000
Highly Cited
2000
Increasing focus on multimedia applications has prompted the additionof multimedia extensions to most existing general purpose… Expand
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Highly Cited
1986
Highly Cited
1986
Parallel computers with tens of thousands of processors are typically programmed in a data parallel style, as opposed to the… Expand
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