Open AccessHigh Performance Computing on the Raspberry PI
Author(s) -
Erin M. Hodgess
Publication year - 2022
Publication title -
international journal of computational science and information technology
Language(s) - English
Resource type - Journals
eISSN - 2320-8457
pISSN - 2320-7442
DOI - 10.5121/ijcsity.2022.10101
Subject(s) - raspberry pi , fortran , computer science , geostatistics , supercomputer , blowing a raspberry , conjunction (astronomy) , programming language , computational science , operating system , parallel computing , world wide web , mathematics , statistics , internet of things , chemistry , physics , food science , astronomy , spatial variability
We considered building high performance tools on the Raspberry Pi 4. We implemented OpenMP and OpenCoarrays Fortran in conjunction with the statistical language R. We found that the OpenCoarrays is more effective when working with vectors, while OpenMP is better in the arena with large matrices in a geostatistics application. These results can be very useful for researchers with limited access to high performance tools or limited funding.