An embedded platform-based cluster computer

Since tasks are becoming more computationally intensive, the demand for parallel programming or cluster computing increases as it does not reduce the computational time. However, the tools and equipment required for cluster computing are expensive and is not readily accessible to those in the academ...

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Main Author: Lokanathan Vanchinathan Sree Bagvath
Other Authors: Vun Chan Hua, Nicholas
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/148061
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1480612021-04-22T11:44:43Z An embedded platform-based cluster computer Lokanathan Vanchinathan Sree Bagvath Vun Chan Hua, Nicholas School of Computer Science and Engineering ASCHVUN@ntu.edu.sg Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks Since tasks are becoming more computationally intensive, the demand for parallel programming or cluster computing increases as it does not reduce the computational time. However, the tools and equipment required for cluster computing are expensive and is not readily accessible to those in the academic environment such as students. With the advent of low-cost embedded platforms like Raspberry Pi and Jetson Nano, it is convenient for students to build a computer cluster based on embedded platforms. This enables them to have hands-on experience and learn the fundamentals of cluster computing. In this paper, a cluster computer is built with Jetson Nanos and the performance of the cluster is analysed when running a computationally intensive application in the CPU as well as in the GPU. The number of nodes in the cluster is varied and the results obtained are presented in this paper. Bachelor of Engineering (Computer Engineering) 2021-04-22T11:44:42Z 2021-04-22T11:44:42Z 2021 Final Year Project (FYP) Lokanathan Vanchinathan Sree Bagvath (2021). An embedded platform-based cluster computer. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148061 https://hdl.handle.net/10356/148061 en SCSE20-0357 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
spellingShingle Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
Lokanathan Vanchinathan Sree Bagvath
An embedded platform-based cluster computer
description Since tasks are becoming more computationally intensive, the demand for parallel programming or cluster computing increases as it does not reduce the computational time. However, the tools and equipment required for cluster computing are expensive and is not readily accessible to those in the academic environment such as students. With the advent of low-cost embedded platforms like Raspberry Pi and Jetson Nano, it is convenient for students to build a computer cluster based on embedded platforms. This enables them to have hands-on experience and learn the fundamentals of cluster computing. In this paper, a cluster computer is built with Jetson Nanos and the performance of the cluster is analysed when running a computationally intensive application in the CPU as well as in the GPU. The number of nodes in the cluster is varied and the results obtained are presented in this paper.
author2 Vun Chan Hua, Nicholas
author_facet Vun Chan Hua, Nicholas
Lokanathan Vanchinathan Sree Bagvath
format Final Year Project
author Lokanathan Vanchinathan Sree Bagvath
author_sort Lokanathan Vanchinathan Sree Bagvath
title An embedded platform-based cluster computer
title_short An embedded platform-based cluster computer
title_full An embedded platform-based cluster computer
title_fullStr An embedded platform-based cluster computer
title_full_unstemmed An embedded platform-based cluster computer
title_sort embedded platform-based cluster computer
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/148061
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