The Raspberry Pi is a small inexpensive computer that is praised for those traits. Said traits also come with steep trade-offs. This project seeks to investigate if those trade-offs are worth it all in all. To do this, a Raspberry Pi 3 is stress-tested using machine learning and memory stress. The performance of the Pi during these tests is recorded, discussed, and compared to better analyze the tests. To better understand the Pi and machine learning, the project also explores the applications and architectures of the Pi and basic machine learning information.
Golnik, Reid Thomas, "Pushing the Limits of a Raspberry Pi" (2020). Senior Independent Study Theses. Paper 9053.
Computer and Systems Architecture | Hardware Systems
Raspberry Pi, Memory, Machine Learning
Bachelor of Arts
Senior Independent Study Thesis
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