Manycore processor and Vector processor

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Difference between Manycore processor and Vector processor

Manycore processor vs. Vector processor

Manycore processors are special kinds of multi-core processors designed for a high degree of parallel processing, containing numerous simpler, independent processor cores (from a few tens of cores to thousands or more). 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.

Central processing unit

A central processing unit (CPU), also called a central processor, main processor, or just processor, is the most important processor in a given computer.

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Compute kernel

In computing, a compute kernel is a routine compiled for high throughput accelerators (such as graphics processing units (GPUs), digital signal processors (DSPs) or field-programmable gate arrays (FPGAs)), separate from but used by a main program (typically running on a central processing unit).

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CUDA

In computing, CUDA (originally Compute Unified Device Architecture) is a proprietary parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs (GPGPU).

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Embedded system

An embedded system is a computer system—a combination of a computer processor, computer memory, and input/output peripheral devices—that has a dedicated function within a larger mechanical or electronic system.

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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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High-performance computing

High-performance computing (HPC) uses supercomputers and computer clusters to solve advanced computation problems.

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Massively parallel

Massively parallel is the term for using a large number of computer processors (or separate computers) to simultaneously perform a set of coordinated computations in parallel.

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Pipeline (computing)

In computing, a pipeline, also known as a data pipeline, is a set of data processing elements connected in series, where the output of one element is the input of the next one.

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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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Supercomputer

A supercomputer is a type of computer with a high level of performance as compared to a general-purpose computer.

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Superscalar processor

A superscalar processor (or multiple-issue processor) is a CPU that implements a form of parallelism called instruction-level parallelism within a single processor.

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