Abstract
Parallel and Distributed Computing Using MPI on Raspberry Pi Cluster
Highlights
Distributed computing is the process of combining the power of several computing tasks, which are logically distributed and may even be geologically distributed, to collaboratively run a single computational task in a transparent and coherent way, so that they appear as a single, centralized system
This research was primarily conducted as an independent research project by Parallel and Distributed Computing Using message parsing interface (MPI) on Raspberry Pi Cluster for University of Computer Studies, Monywa (UCS-Monywa)
This paper represents the outcome of a hands-on opportunity to better understand distributed computing, parallel performance using MPI libraries, how to work odd even transition sorting algorithm on pi cluster and its potential benefits to higher education
Summary
Distributed computing is the process of combining the power of several computing tasks, which are logically distributed and may even be geologically distributed, to collaboratively run a single computational task in a transparent and coherent way, so that they appear as a single, centralized system. MPI is a de facto standard for parallel programming on distributed memory systems. This research was primarily conducted as an independent research project by Parallel and Distributed Computing Using MPI on Raspberry Pi Cluster for University of Computer Studies, Monywa (UCS-Monywa). Portability arises from the standard API and the existence of MPI libraries on a wide range of machines. It is the most common method of programming parallel and distributed system. MPI is considered today’s standard in message passing library. This paper represents the outcome of a hands-on opportunity to better understand distributed computing, parallel performance using MPI libraries, how to work odd even transition sorting algorithm on pi cluster and its potential benefits to higher education
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