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Array programming and Vector processor

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

Difference between Array programming and Vector processor

Array programming vs. Vector processor

In computer science, array programming refers to solutions that allow the application of operations to an entire set of values at once. In computing, a vector processor or array processor is a central processing unit (CPU) that implements an instruction set where its instructions are designed to operate efficiently and effectively on large one-dimensional arrays of data called vectors.

Similarities between Array programming and Vector processor

Array programming and Vector processor have 12 things in common (in Unionpedia): Array (data structure), Automatic vectorization, AVX-512, C (programming language), General-purpose computing on graphics processing units, GNU Compiler Collection, Graphics processing unit, MMX (instruction set), Multiple instruction, multiple data, Scalar processor, Single instruction, multiple data, 3DNow!.

Array (data structure)

In computer science, an array is a data structure consisting of a collection of elements (values or variables), of same memory size, each identified by at least one array index or key.

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Automatic vectorization

Automatic vectorization, in parallel computing, is a special case of automatic parallelization, where a computer program is converted from a scalar implementation, which processes a single pair of operands at a time, to a vector implementation, which processes one operation on multiple pairs of operands at once.

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AVX-512

AVX-512 are 512-bit extensions to the 256-bit Advanced Vector Extensions SIMD instructions for x86 instruction set architecture (ISA) proposed by Intel in July 2013, and first implemented in the 2016 Intel Xeon Phi x200 (Knights Landing), and then later in a number of AMD and other Intel CPUs (see list below).

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C (programming language)

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

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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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Graphics processing unit

A graphics processing unit (GPU) is a specialized electronic circuit initially designed for digital image processing and to accelerate computer graphics, being present either as a discrete video card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles.

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MMX (instruction set)

MMX is a single instruction, multiple data (SIMD) instruction set architecture designed by Intel, introduced on January 8, 1997 with its Pentium P5 (microarchitecture) based line of microprocessors, named "Pentium with MMX Technology".

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Multiple instruction, multiple data

In computing, multiple instruction, multiple data (MIMD) is a technique employed to achieve parallelism.

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Scalar processor

Scalar processors are a class of computer processors that process only one data item at a time.

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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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3DNow!

3DNow! is a deprecated extension to the x86 instruction set developed by Advanced Micro Devices (AMD).

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The list above answers the following questions

Array programming and Vector processor Comparison

Array programming has 83 relations, while Vector processor has 120. As they have in common 12, the Jaccard index is 5.91% = 12 / (83 + 120).

References

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