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2018•Unpublished venueRequires access

Work in progress: Computing cluster using IoT technologies

Christian Madritsch, T. Klinger

Open publisher page 2 citations

Abstract

This paper describes the design, implementation, and practical use in Engineering Education of a Computing Cluster using IoT Technologies. First, the development goal and its expected application is explained. Current lectures in Computer Science, Computer Engineering and Image Processing will benefit of the massive parallel computing cluster. Next, the design and implementation - carried out by a group of students - are described in detail. Finally, the practical use of the cluster including a test application is shown. Here, current supercomputing methods like Message Passing Interface (MPI) and Open Multi Processing (OpenMP) are used to show the ability and functionality go the cluster.

About this research paper

What this paper is about

This paper describes the design, implementation, and practical use in Engineering Education of a Computing Cluster using IoT Technologies. First, the development goal and its expected application is explained. Current lectures in Computer Science, Computer Engineering and Image Processing will benefit of the massive parallel computing cluster. Next, the design and implementation - carried out by a group of students - are described in detail. Finally, the practical use of the cluster including a test application is shown. Here, current supercomputing methods like Message Passing Interface (MPI) and Open Multi Processing (OpenMP) are used to show the ability and functionality go the cluster.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper describes the design, implementation, and practical use in Engineering Education of a Computing Cluster using IoT Technologies. First, the development goal and its expected application is explained. Current lectures in Computer Science, Computer Engineering and Image Processing will benefit of the massive parallel computing cluster. Next, the design and implementation - carried out by a group of students - are described in detail. Finally, the practical use of the cluster including a test application is shown. Here, current supercomputing methods like Message Passing Interface (MPI) and Open Multi Processing (OpenMP) are used to show the ability and functionality go the cluster.

Key concepts: Computer science, Supercomputer, Cluster (spacecraft), Message Passing Interface, Computer cluster, Interface (matter), Internet of Things, Message passing

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