Encyclopedia of Systems Biology

2013 Edition
| Editors: Werner Dubitzky, Olaf Wolkenhauer, Kwang-Hyun Cho, Hiroki Yokota

Parallel Computing, Data Parallelism

Reference work entry
DOI: https://doi.org/10.1007/978-1-4419-9863-7_1028


Data parallelism is a form of parallelization which relies on splitting the computation by subdividing data across multiple processors in parallel computing environments. A data parallel algorithm focuses on distributing the data across different parallel computing nodes, in contrast to task parallelism which aims at subdividing the operations to perform. In a multiprocessor system, data parallelism is achieved when each processor performs the same task on different pieces of distributed data.


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© Springer Science+Business Media, LLC 2013

Authors and Affiliations

  1. 1.Institute for Biomedical Technologies – CNR (Consiglio Nazionale delle Ricerche)SegrateItaly