<abstract xmlns="http://www.w3.org/1999/xhtml"><p>As data centers have increased in size, there has been a need to create clusters out of cheaper, more affordable commodity parts that can easily be replaced upon failure, and that create more affordable data centers overall. However, such large clusters are still outside of feasibility for individuals and small businesses. It is a worthwhile exercise to see if much smaller clusters could be created for such applications, and to compare their performance / price measure to that of the previous traditional data centers. For this paper, such a cluster is created using Raspberry Pis which are small-sized, single-board computers. A data sharing model is built in Python using message passing interface (MPI) that ran on the cluster of the four Raspberry Pis. So as to evaluate the performance of the system, some greedy algorithms are created. During the implementation process, previously unknown skills, including how to create a cluster, programming the infrastructure are learnt.</p></abstract>

As data centers have increased in size, there has been a need to create clusters out of cheaper, more affordable commodity parts that can easily be replaced upon failure, and that create more affordable data centers overall. However, such large clusters are still outside of feasibility for individuals and small businesses. It is a worthwhile exercise to see if much smaller clusters could be created for such applications, and to compare their performance / price measure to that of the previous traditional data centers. For this paper, such a cluster is created using Raspberry Pis which are small-sized, single-board computers. A data sharing model is built in Python using message passing interface (MPI) that ran on the cluster of the four Raspberry Pis. So as to evaluate the performance of the system, some greedy algorithms are created. During the implementation process, previously unknown skills, including how to create a cluster, programming the infrastructure are learnt.

Design of Raspberry PI Parallel Processor

Scientific Bulletin

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Design of Raspberry PI Parallel Processor"}

As data centers have increased in size, there has been a need to create clusters out of cheaper, more affordable commodity parts that can easily be replaced...

Design of Raspberry PI Parallel Processor

Online veröffentlicht: 17. Dez. 2020

Seitenbereich: 63 - 74

DOI: https://doi.org/10.2478/bsaft-2020-0009

Schlüsselwörter
Design, raspberry Pi, parallel processor

© 2020 Mohanad Abdulhamid et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Design of Raspberry PI Parallel Processor

Online veröffentlicht: 17. Dez. 2020

Seitenbereich: 63 - 74

DOI: https://doi.org/10.2478/bsaft-2020-0009

SchlüsselwörterDesign, raspberry Pi, parallel processor

© 2020 Mohanad Abdulhamid et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Design, raspberry Pi, parallel processor