Raspberry Pi Supercomputing and Scientific Programming : MPI4PY, NumPY, and SciPY for Enthusiasts /

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 b...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Pajankar, Ashwin
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [United States] : Apress, 2017.
Colección:Technology in action.
Temas:
Raspberry Pi (Computer)
Computer programming.
Python (Computer program language)
Programming languages (Electronic computers)
Raspberry Pi (Ordinateur)
Programmation (Informatique)
Python (Langage de programmation)
computer programming.
COMPUTERS > Computer Literacy.
COMPUTERS > Computer Science.
COMPUTERS > Data Processing.
COMPUTERS > Hardware > General.
COMPUTERS > Information Technology.
COMPUTERS > Machine Theory.
COMPUTERS > Reference.
Computer programming
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario: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 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. You will: Discover the essentials of supercomputing Build a low-cost cluster of Raspberry Pis at home Harness the power of parallel programming and the Message Passing Interface (MPI) Use your supercomputer for symbolic, numerical, and scientific programming.
Descripción Física:1 online resource
ISBN:9781484228784
1484228782

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