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Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL
Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL

Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. 

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3D Graphics for Game Programming
3D Graphics for Game Programming
Many of computer graphics classes in colleges are focused on real-time rendering and animation. However, it is not easy to nd an appropriate textbook, which presents the state of the art in interactive graphics, is balanced between theory and practicality, and is of a proper length to be covered in a semester. This book is...
Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA
Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA

Build GPU-accelerated high performing applications with Python 2.7, CUDA 9, and open source libraries such as PyCUDA and scikit-cuda. We recommend the use of Python 2.7 as this version has stable support across all libraries used in this book.

Key Features

  • Get to grips with GPU programming...
Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python
Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python

Develop real-world applications powered by the latest advances in intelligent systems

Key Features

  • Gain real-world contextualization using deep learning problems concerning research and application
  • Get to know the best practices to improve and optimize your machine...
R Deep Learning Projects: Master the techniques to design and develop neural network models in R
R Deep Learning Projects: Master the techniques to design and develop neural network models in R

5 real-world projects to help you master deep learning concepts

Key Features

  • Master the different deep learning paradigms and build real-world projects related to text generation, sentiment analysis, fraud detection, and more
  • Get to grips with R's impressive range of...
OpenCV 3 Computer Vision with Python Cookbook: Leverage the power of OpenCV 3 and Python to build computer vision applications
OpenCV 3 Computer Vision with Python Cookbook: Leverage the power of OpenCV 3 and Python to build computer vision applications

Recipe-based approach to tackle the most common problems in Computer Vision by leveraging the functionality of OpenCV using Python APIs

Key Features

  • Build computer vision applications with OpenCV functionality via Python API
  • Get to grips with image processing, multiple...
GPU Computing Gems Emerald Edition (Applications of GPU Computing Series)
GPU Computing Gems Emerald Edition (Applications of GPU Computing Series)

We are entering the golden age of GPU computing. Since the introduction of CUDA in 2007, more than 100 million computers with CUDA-capable GPUs have been shipped to end users. Unlike the previous GPGPU shader programming models, CUDA supports parallel programming in C. From my own experience in teaching CUDA programming, C programmers...

Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition
Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.

Key Features

  • Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow
  • Explore deep neural...
Programming Massively Parallel Processors, Second Edition: A Hands-on Approach
Programming Massively Parallel Processors, Second Edition: A Hands-on Approach

Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational...

Hardware Acceleration of EDA Algorithms: Custom ICs, FPGAs and GPUs
Hardware Acceleration of EDA Algorithms: Custom ICs, FPGAs and GPUs

This book deals with the acceleration of EDA algorithms using hardware platforms such as FPGAs and GPUs. Widely applied CAD algorithms are evaluated and compared for potential acceleration on FPGAs and GPUs. Coverage includes discussion of conditions under which it is preferable to use one platform over another, e.g., when an EDA problem has...

OpenCL Programming Guide
OpenCL Programming Guide

Industry pundits love drama. New products don’t build on the status quo to make things better. They “revolutionize” or, better yet, define a “new paradigm.” And, of course, given the way technology evolves, the results rarely are as dramatic as the pundits make it seem.

Over the past decade,...

GPU-Based Techniques for Global Illumination Effects (Synthesis Lectures on Computer Graphics)
GPU-Based Techniques for Global Illumination Effects (Synthesis Lectures on Computer Graphics)
Real-time rendering poses severe computational requirements to computers. In order to maintain a continuous looking motion for the human eye, at least 20 images need to be generated in each second. An image consists of about a million pixels, which means that for a single pixel the visible point and its color should be computed in less than 50 ns...
unlimited object storage image
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