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Massively Parallel Computing And TheBoundary Element Method

A.J. Davies

Open publisher page 3 citations

Abstract

Massively parallel computing sytems belong to the classification SIMD, Single Instruction Multiple Data [1]. In such systems a very large number of relatively unsophisticated processors are connected together in some fashion and there is very rapid transfer of data between adjacent processors. Each processor receives the same instruction but works on its own data. Each processor performs a relatively simple task and for this reason the SIMD machine has a fine-grained parallelism.

About this research paper

What this paper is about

Massively parallel computing sytems belong to the classification SIMD, Single Instruction Multiple Data [1]. In such systems a very large number of relatively unsophisticated processors are connected together in some fashion and there is very rapid transfer of data between adjacent processors. Each processor receives the same instruction but works on its own data. Each processor performs a relatively simple task and for this reason the SIMD machine has a fine-grained parallelism.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Massively parallel computing sytems belong to the classification SIMD, Single Instruction Multiple Data [1]. In such systems a very large number of relatively unsophisticated processors are connected together in some fashion and there is very rapid transfer of data between adjacent processors. Each processor receives the same instruction but works on its own data. Each processor performs a relatively simple task and for this reason the SIMD machine has a fine-grained parallelism.

Key concepts: Massively parallel, SIMD, Computer science, Parallel computing, Parallelism (grammar), Data parallelism, Task (project management), Simple (philosophy)

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