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Array programming and OpenMP

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

Difference between Array programming and OpenMP

Array programming vs. OpenMP

In computer science, array programming refers to solutions that allow the application of operations to an entire set of values at once. OpenMP (Open Multi-Processing) is an application programming interface (API) that supports multi-platform shared-memory multiprocessing programming in C, C++, and Fortran, on many platforms, instruction-set architectures and operating systems, including Solaris, AIX, FreeBSD, HP-UX, Linux, macOS, and Windows.

Similarities between Array programming and OpenMP

Array programming and OpenMP have 11 things in common (in Unionpedia): C (programming language), C++, Chapel (programming language), Cilk, Fold (higher-order function), Fortran, General-purpose computing on graphics processing units, GNU Compiler Collection, Intel, Parallel computing, Single instruction, multiple data.

C (programming language)

C (pronounced – like the letter c) is a general-purpose programming language.

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C++

C++ (pronounced "C plus plus" and sometimes abbreviated as CPP) is a high-level, general-purpose programming language created by Danish computer scientist Bjarne Stroustrup.

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Chapel (programming language)

Chapel, the Cascade High Productivity Language, is a parallel programming language that was developed by Cray, and later by Hewlett Packard Enterprise which acquired Cray.

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Cilk

Cilk, Cilk++, Cilk Plus and OpenCilk are general-purpose programming languages designed for multithreaded parallel computing.

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Fold (higher-order function)

In functional programming, fold (also termed reduce, accumulate, aggregate, compress, or inject) refers to a family of higher-order functions that analyze a recursive data structure and through use of a given combining operation, recombine the results of recursively processing its constituent parts, building up a return value.

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Fortran

Fortran (formerly FORTRAN) is a third generation, compiled, imperative programming language that is especially suited to numeric computation and scientific computing.

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General-purpose computing on graphics processing units

General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).

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GNU Compiler Collection

The GNU Compiler Collection (GCC) is a collection of compilers from the GNU Project that support various programming languages, hardware architectures and operating systems.

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Intel

Intel Corporation is an American multinational corporation and technology company headquartered in Santa Clara, California, and incorporated in Delaware.

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Parallel computing

Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously.

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Single instruction, multiple data

Single instruction, multiple data (SIMD) is a type of parallel processing in Flynn's taxonomy.

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The list above answers the following questions

Array programming and OpenMP Comparison

Array programming has 83 relations, while OpenMP has 99. As they have in common 11, the Jaccard index is 6.04% = 11 / (83 + 99).

References

This article shows the relationship between Array programming and OpenMP. To access each article from which the information was extracted, please visit: