Build an inexpensive cluster of multiple Raspberry Pi computers and
install all the required libraries to write parallel and scientific
programs in Python 3. This book covers setting up your Raspberry Pis,
installing the necessary software, and making a cluster of multiple
Pis.
Once the cluster is built, its power has to be exploited by means of
programs to run on it. So, Raspberry Pi Supercomputing and Scientific
Programming teaches you to code the cluster with the MPI4PY library of
Python 3. Along the way, you will learn the concepts of the Message
Passing Interface (MPI) standards and will explore the fundamentals of
parallel programming on your inexpensive cluster. This will make this
book a great starting point for supercomputing enthusiasts who want to
get started with parallel programming.
The book finishes with details of symbolic mathematics and scientific
and numerical programming in Python, using SymPi, SciPy, NumPy, and
Matplotlib. You'll see how to process signals and images, carry out
calculations using linear algebra, and visualize your results, all using
Python code. With the power of a Raspberry Pi supercomputer at your
fingertips, data-intensive scientific programming becomes a reality at
home.
What You Will Learn
-
Discover the essentials of supercomputing
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Build a low-cost cluster of Raspberry Pis at home
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Harness the power of parallel programming and the Message Passing
Interface (MPI)
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Use your Raspberry Pi for symbolic, numerical, and scientific
programming
Who This Book Is For
Python 3 developers who seek the knowledge of parallel programming,
Raspberry Pi enthusiasts, researchers, and the scientific Python
community.
