2023
DOI: 10.18280/mmep.100515
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Enhanced π Approximation Through MIMD Parallel Computing: An Efficiency Analysis Utilizing Raspberry Pi

Yuggo Afrianto,
Viddi Mardiansyah,
Ritzkal
et al.

Abstract: Multiple Instruction Multiple Data is one of the parallel computing architectures in Flynn's taxonomy, where cores can execute independent sets of instructions on independent sets of data. Parallel computing could be used in scientific subfields such as mathematics to approximate the number pi. One of the methods to approximate π is the Gregory-Leibniz method, which proposes the expansion of the arctan x series, which can then be used as an algorithm to approximate π. This method requires lots of term calculat… Show more

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