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Berkeley Open Infrastructure for Network Computing and Massively parallel

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Berkeley Open Infrastructure for Network Computing and Massively parallel

Berkeley Open Infrastructure for Network Computing vs. Massively parallel

The Berkeley Open Infrastructure for Network Computing (BOINC, pronounced – rhymes with "oink"), an open-source middleware system, supports volunteer and grid computing. In computing, massively parallel refers to the use of a large number of processors (or separate computers) to perform a set of coordinated computations in parallel (simultaneously).

Similarities between Berkeley Open Infrastructure for Network Computing and Massively parallel

Berkeley Open Infrastructure for Network Computing and Massively parallel have 5 things in common (in Unionpedia): Central processing unit, Computer performance, CUDA, Grid computing, Volunteer computing.

Central processing unit

A central processing unit (CPU) is the electronic circuitry within a computer that carries out the instructions of a computer program by performing the basic arithmetic, logical, control and input/output (I/O) operations specified by the instructions.

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Computer performance

Computer performance is the amount of work accomplished by a computer system.

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CUDA

CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia.

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Grid computing

Grid computing is the collection of computer resources from multiple locations to reach a common goal.

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Volunteer computing

Volunteer computing is a type of distributed computing, "an arrangement in which people, so-called volunteers, provide computing resources to projects, which use the resources to do distributed computing and/or storage".

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The list above answers the following questions

Berkeley Open Infrastructure for Network Computing and Massively parallel Comparison

Berkeley Open Infrastructure for Network Computing has 60 relations, while Massively parallel has 30. As they have in common 5, the Jaccard index is 5.56% = 5 / (60 + 30).

References

This article shows the relationship between Berkeley Open Infrastructure for Network Computing and Massively parallel. To access each article from which the information was extracted, please visit:

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