Book Image

Raspberry Pi By Example

By : Arush Kakkar
Book Image

Raspberry Pi By Example

By: Arush Kakkar

Overview of this book

Want to put your Raspberry Pi through its paces right out of the box? This tutorial guide is designed to get you learning all the tricks of the Raspberry Pi through building complete, hands-on hardware projects. Speed through the basics and then dive right in to development! Discover that you can do almost anything with your Raspberry Pi with a taste of almost everything. Get started with Pi Gaming as you learn how to set up Minecraft, and then program your own game with the help of Pygame. Turn the Pi into your own home security system with complete guidance on setting up a webcam spy camera and OpenCV computer vision for image recognition capabilities. Get to grips with GPIO programming to make a Pi-based glowing LED system, build a complete functioning motion tracker, and more. Finally, get ready to tackle projects that push your Pi to its limits. Construct a complete Internet of Things home automation system with the Raspberry Pi to control your house via Twitter; turn your Pi into a super-computer through linking multiple boards into a cluster and then add in advanced network capabilities for super speedy processing!
Table of Contents (22 chapters)
Raspberry Pi By Example
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Performance benchmarking of the cluster


Since we have successfully created a cluster of Raspberry Pis, we now need to test their performance. One way of doing that is to measure the latency between different nodes. To this end, Ohio State University has created some benchmarking tests that are included with the mpi4py library. We will run a few of these to measure the performance of our cluster. Simply put, latency measures the amount of time a packet takes to reach its destination and get a response. The lower the latency, the better a cluster will perform. The tests are given in the demo folder of the mpi4py directory. These run in this fashion: the osu_bcast benchmark measures the latency of the MPI_Bcast collective operation across N processes. It measures the minimum, maximum, and average latency for various message lengths and over a large number of iterations.

To run the osu_allgather.py test, we execute the following command:

mpiexec -f machinefile -n 3 python osu_allgather.py

As...