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Synergizing Four Different Computing Paradigms for Machine Learning and Big Data Analytics

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Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering (AAI 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 659))

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Abstract

This article presents and analyses four computing paradigms that are present in today’s IT programming world - Control Flow, Data Flow, Diffusion Flow, and Energy Flow. It compares their main properties, points out what purposes each has, and describes what are their advantages and disadvantages. In the third part of this article, the Authors speculate on the possible architecture of a supercomputer on a chip and in the fourth part, they suggest the optimal distribution of resources for a specified set of Civil engineering applications.

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Correspondence to Veljko Milutinović .

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Milutinović, V., Salom, J. (2023). Synergizing Four Different Computing Paradigms for Machine Learning and Big Data Analytics. In: Filipovic, N. (eds) Applied Artificial Intelligence: Medicine, Biology, Chemistry, Financial, Games, Engineering. AAI 2022. Lecture Notes in Networks and Systems, vol 659. Springer, Cham. https://doi.org/10.1007/978-3-031-29717-5_7

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