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Books tags: parallelism
Mastering Julia
Mastering Julia

Key Features

  • Build statistical models with linear regression and analysis of variance (ANOVA)
  • Create your own modules and contribute to the Julia package system
  • Complete an extensive data science project through the entire cycle from ETL to analytics and data visualization

...

Programming Windows Store Apps with C#
Programming Windows Store Apps with C#

If you’re a .NET developer looking to build tablet apps, this practical book takes you step-by-step through the process of developing apps for the Windows Store. You’ll learn how to use Microsoft’s Modern UI design language with Windows 8.1 and WinRT 8.1.1 by building a line-of-business mobile app with C# through...

Massively Parallel Evolutionary Computation on GPGPUs (Natural Computing Series)
Massively Parallel Evolutionary Computation on GPGPUs (Natural Computing Series)

Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using finite computational resources. Therefore, there have...

Schaum's Outline Series Theory and Problems of Projective Geometry
Schaum's Outline Series Theory and Problems of Projective Geometry
The purpose of this book is to provide a first course in Projective Geometry for undergraduate majors in mathematics and for prospective teachers of high school geometry. For the former it will furnish an introduction to the important concept of projective spaces; for the latter it will introduce a more general geometry from which,...
Using OpenCL: Programming Massively Parallel Computers (Advances in Parallel Computing)
Using OpenCL: Programming Massively Parallel Computers (Advances in Parallel Computing)

In 2011 many computer users were exploring the opportunities and the benefits of the massive parallelism offered by heterogeneous computing. In 2000 the Khronos Group, a not-for-profit industry consortium, was founded to create standard open APIs for parallel computing, graphics and dynamic media. Among them has been OpenCL, an open system...

Fundamentals of Multicore Software Development (Chapman & Hall/CRC Computational Science)
Fundamentals of Multicore Software Development (Chapman & Hall/CRC Computational Science)

With multicore processors now in every computer, server, and embedded device, the need for cost-effective, reliable parallel software has never been greater. By explaining key aspects of multicore programming, Fundamentals of Multicore Software Development helps software engineers understand parallel programming and master...

High Performance Computing (RISC Architectures, Optimization & Benchmarks)
High Performance Computing (RISC Architectures, Optimization & Benchmarks)

The computing power that's available on the average desktop has exploded in the past few years. A typical PC has performance exceeding that of a multi-million dollar supercomputer a mere decade ago. To some people, that might mean that it's time to sit back and watch computers get faster: performance is no longer an issue,...

Ansible: Up and Running
Ansible: Up and Running

Among the many configuration management tools available, Ansible has some distinct advantages—it’s minimal in nature, you don’t need to install anything on your nodes, and it has an easy learning curve. This practical guide shows you how to be productive with this tool quickly, whether you’re a developer...

Accelerating MATLAB with GPU Computing: A Primer with Examples
Accelerating MATLAB with GPU Computing: A Primer with Examples

Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation...

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...

High Performance Deformable Image Registration Algorithms for Manycore Processors
High Performance Deformable Image Registration Algorithms for Manycore Processors

High Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, including graphics processing units (GPUs). Focusing on deformable registration, we show how to develop data-parallel versions of the...

C++17 STL Cookbook
C++17 STL Cookbook

Key Features

  • Learn the latest features of C++ and how to write better code by using the Standard Library (STL). Reduce the development time for your applications.
  • Understand the scope and power of STL features to deal with real-world problems.
  • Compose your own algorithms without forfeiting...
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