Raspberry Pi Supercomputing and Scientific Programming

Raspberry Pi Supercomputing and Scientific Programming
Author :
Publisher : Apress
Total Pages : 183
Release :
ISBN-10 : 9781484228784
ISBN-13 : 1484228782
Rating : 4/5 (84 Downloads)

Book Synopsis Raspberry Pi Supercomputing and Scientific Programming by : Ashwin Pajankar

Download or read book Raspberry Pi Supercomputing and Scientific Programming written by Ashwin Pajankar and published by Apress. This book was released on 2017-05-25 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Build a low-cost cluster of Raspberry Pis at home Harness the power of parallel programming and the Message Passing Interface (MPI) 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.


Raspberry Pi Supercomputing and Scientific Programming Related Books

Raspberry Pi Supercomputing and Scientific Programming
Language: en
Pages: 183
Authors: Ashwin Pajankar
Categories: Computers
Type: BOOK - Published: 2017-05-25 - Publisher: Apress

DOWNLOAD EBOOK

Build an inexpensive cluster of multiple Raspberry Pi computers and install all the required libraries to write parallel and scientific programs in Python 3. Th
Raspberry Pi Supercomputing and Scientific Programming
Language: en
Pages: 174
Authors: Todd Perez
Categories:
Type: BOOK - Published: 2017-10-19 - Publisher: Createspace Independent Publishing Platform

DOWNLOAD EBOOK

This will make this book a great starting point for supercomputing enthusiasts who want to get started with parallel programming. This book covers setting up yo
ROS Robotics By Example
Language: en
Pages: 483
Authors: Carol Fairchild
Categories: Computers
Type: BOOK - Published: 2017-11-30 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Learning how to build and program your own robots with the most popular open source robotics programming framework About This Book Get to know the fundamentals
Advances in Parallel & Distributed Processing, and Applications
Language: en
Pages: 1201
Authors: Hamid R. Arabnia
Categories: Technology & Engineering
Type: BOOK - Published: 2021-10-18 - Publisher: Springer Nature

DOWNLOAD EBOOK

The book presents the proceedings of four conferences: The 26th International Conference on Parallel and Distributed Processing Techniques and Applications (PDP
Computational Science – ICCS 2021
Language: en
Pages: 670
Authors: Maciej Paszynski
Categories: Computers
Type: BOOK - Published: 2021-06-10 - Publisher: Springer Nature

DOWNLOAD EBOOK

The six-volume set LNCS 12742, 12743, 12744, 12745, 12746, and 12747 constitutes the proceedings of the 21st International Conference on Computational Science,