Keywords

#data_parallelism

Data parallelism

Parallelization across multiple processors in parallel computing environments

Data parallelism is parallelization across multiple processors in parallel computing environments. It focuses on distributing the data across different nodes, which operate on the data in parallel. It can be applied on regular data structures like arrays and matrices by working on each element in parallel. It contrasts to task parallelism as another form of parallelism.

Tue 4th

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Data parallelism Task parallelism Parallel programming model Central processing unit Parallel computing Data-intensive computing Ateji PX Array (data structure) NESL Granularity (parallel computing)
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