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Raspberry Pi Supercomputing and Scientific Programming: MPI4PY, NumPy, and SciPy for Enthusiasts
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 built, its power...
Parallel Programming in C with Mpi and Openmp
Parallel Programming in C with Mpi and Openmp

The era of practical parallel programming has arrived, marked by the popularity of the MPI and OpenMP software standards and the emergence of commodity clusters as the hardware platform of choice for an increasing number of organizations. This exciting new book, "Parallel Programming in C with MPI and OpenMP" addresses the needs of...

An Introduction to Parallel Programming
An Introduction to Parallel Programming

Parallel hardware has been ubiquitous for some time now. It’s difficult to find a laptop, desktop, or server that doesn’t use a multicore processor. Beowulf clusters are nearly as common today as high-powered workstations were during the 1990s, and cloud computing could make distributed-memory systems as accessible as...

Build Supercomputers with Raspberry Pi 3
Build Supercomputers with Raspberry Pi 3

Key Features

  • Carlos R. Morrison from NASA will teach you to build a supercomputer with Raspberry Pi 3
  • Deepen your understanding of setting up host nodes, configuring networks, and automating mountable drives
  • Learn various math, physics, and engineering applications to solve complex...
Scaling up Machine Learning: Parallel and Distributed Approaches
Scaling up Machine Learning: Parallel and Distributed Approaches

This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by...

Introduction to Parallel Computing, Second Edition
Introduction to Parallel Computing, Second Edition

Increasingly, parallel processing is being seen as the only cost-effective method for the fast solution of computationally large and data-intensive problems. The emergence of inexpensive parallel computers such as commodity desktop multiprocessors and clusters of workstations or PCs has made such parallel methods generally...

Python Parallel Programming Cookbook
Python Parallel Programming Cookbook

Master efficient parallel programming to build powerful applications using Python

About This Book

  • Design and implement efficient parallel software
  • Master new programming techniques to address and solve complex programming problems
  • Explore the world of parallel programming...
Using OpenMP: Portable Shared Memory Parallel Programming
Using OpenMP: Portable Shared Memory Parallel Programming
"The advent of readily-available inexpensive multi-core processors has made parallel programming more important and more accessible than ever before. OpenMP is a popular way to write parallel programs, and this book makes OpenMP knowledge available to the average programmer in an understandable, easy-to-apply fashion, while still providing...
Modern Fortran: Style and Usage
Modern Fortran: Style and Usage

Fortran is one of the oldest high-level languages and remains the premier language for writing code for science and engineering applications. Modern Fortran: Style and Usage is a book for anyone who uses Fortran, from the novice learner to the advanced expert. It describes best practices for programmers, scientists, engineers, computer...

CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming
CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming

CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices...

OpenCL in Action: How to Accelerate Graphics and Computations
OpenCL in Action: How to Accelerate Graphics and Computations
In the summer of 1997, I was terrified. Instead of working as an intern in my major (microelectronic engineering), the best job I could find was at a research laboratory devoted to high-speed signal processing. My job was to program the two-dimensional fast Fourier transform (FFT) using C and the Message Passing Interface...
Patterns for Parallel Programming (Software Patterns Series)
Patterns for Parallel Programming (Software Patterns Series)

The Parallel Programming Guide for Every Software Developer

From grids and clusters to next-generation game consoles, parallel computing is going mainstream. Innovations such as Hyper-Threading Technology, HyperTransport Technology, and multicore microprocessors from IBM, Intel, and Sun are accelerating the...

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