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- W2339916729 abstract "Parallel computing is a form of computation in which many calculations are carried out parallel, executing on the principle that big problems can be divided into smaller ones, which are then solved concurrently. Flynn classified programs and computers by whether they were operating using a single set of instructions or multiple sets, and whether the instructions were using either single set or multiple sets of data. This paper provides comparison between two Flynn's architecture simd and mimd. Index terms: SIMD,MIMD, Flynn's taxonomy. 1) Introduction:- Multiple processing elements used in Parallel computing resolves many problems. This is done by dividing the problem in independent parts so each processing element (PE) can execute its part of the algorithm with others in parallel. Various processing elements can be used which have resources such as a single computer with multiple processors. Michael J. Flynn created the first classification systems for parallel computers and programs, called as Flynn's taxonomy. Flynn grouped programs and computers on basis of operating using a single set or multiple sets of instructions, and whether those instructions were using a single set of data or multiple sets of data. The single-instruction-single-data (SISD) classification is same as an entire sequential program. The single- instruction-multiple-data (SIMD) classification is analogous to doing the same operation repeatedly on a larger data set. This is offenly used in signal processing applications. Multiple-instruction-single-data (MISD) is a rarely used.. Multiple-instruction-multiple-data (MIMD) programs one of the most common types of parallel programs used in today's computations." @default.
- W2339916729 created "2016-06-24" @default.
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- W2339916729 date "2015-01-01" @default.
- W2339916729 modified "2023-09-27" @default.
- W2339916729 title "Architectures of Flynn's taxonomy -- A Comparison of Methods" @default.
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