Raspberry Pi Supercomputing and Scientific Programming: MPI4PY, NumPy, and SciPy for Enthusiasts

ISBN-13: 9781484228777 / Angielski / Miękka / 2017 / 171 str.

Ashwin Pajankar

Opis

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.

Spis treści

Chapter 1: Introduction to Raspberry Pi

Single Board Computers

History of SBCs

SoC (System on Chip)

Major SBC families

Chapter 2: Important Linux Commands and Remote Connectivity

Chapter 3: Introduction to Python

Chapter 4: Introduction to Supercomputing

Chapter 5: Message Passing Interface

Chapter 6: Building a cluster

Taking the backup of the MicroSD Cards

Preparing the nodes

Networking the Pis Together

Testing the clusterOrganizing the cluster

Chapter 7: Parallel Programming with MPICH and C

Mpicc compiler

Hello World Program

MPI Processes: ranks and world size

More complex examples

Chapter 8: Parallel Programming with MPI4PY and Python

Getting started with MPI4PY

Conditional statements

Number of processes and world size

Sending and receiving the data

Dynamic data exchange

Data Tagging

Data Broadcasting

Data Scattering

Data Gathering

Chapter 9: Conclusion and what’s next

O autorze

Ashwin Pajankar is a Polymath. He is a Science Popularizer, a Programmer, a Maker, an Author, and a Youtuber. He graduated from IIIT Hyderabad with MTech in Computer Science and Engineering. He has keen interest in the promotion of Science, Technology, Engineering, and Mathematics (STEM) education. This is his Second book with Apress Publication. 

Blurb

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