Learn IT - Books tags gpu

Ray Tracing Gems: High-Quality and Real-Time Rendering with DXR and Other APIs

Apress, 2019

This book is a must-have for anyone serious about rendering in real time. With the announcement of new ray tracing APIs and hardware to support them, developers can easily create real-time applications with ray tracing as a core component. As ray tracing on the GPU becomes faster, it will play a more central role in real-time...

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

Apress, 2020

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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Algorithms for Image Processing and Computer Vision

John Wiley & Sons, 2010

Humans still obtain the vast majority of their sensory input through their visual system, and an enormous effort has been made to artificially enhance this sense. Eyeglasses, binoculars, telescopes, radar, infrared sensors, and photomultipliers all function to improve our view of the world and the universe. We even have telescopes in orbit...

Massively Parallel Evolutionary Computation on GPGPUs (Natural Computing Series)

Springer, 2013

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...

Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

Packt Publishing, 2018

Build and deploy powerful neural network models using the latest Java deep learning libraries

Key Features

Understand DL with Java by implementing real-world projects

Master implementations of various ANN models and build your own DL systems

Develop...

Advanced Lighting and Materials with Shaders

Wordware Publishing, 2004

Programmable GPUs provide the processing horsepower necessary to render realistic graphics in real time, but this has put a new burden on graphics programmers. They now need to have an in-depth understanding of lights and surface propertiex before they can use the capablities of the GPU.

About the Author
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Accelerating MATLAB with GPU Computing: A Primer with Examples

Morgan Kaufmann, 2013

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...

Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling

Packt Publishing, 2018

Get to grips with the essentials of deep learning by leveraging the power of Python

Key Features

Your one-stop solution to get started with the essentials of deep learning and neural network modeling

Train different kinds of neural networks to tackle various problems in...

C++ AMP: Accelerated Massive Parallelism with Microsoft Visual C++

Microsoft Press, 2012

For most of computing history, we benefited from exponential increases in performance of scalar processors. That has come to an end. We are now at the dawn of the heterogeneous parallel computing era. With all applications being power-sensitive and all computing systems being power-limited, from mobile to cloud, future computing...

CryptoGraphics: Exploiting Graphics Cards For Security (Advances in Information Security)

Springer, 2006

Software that covertly monitors user actions, also known as spyware, has become a first-level security threat due to its ubiquity and the difficulty of detecting and removing it. This is especially so for video conferencing, thin-client computing and Internet cafes.

CryptoGraphics: Exploiting Graphics Cards for Security...

GLSL Essentials (Community Experience Distilled)

Packt Publishing, 2013

Enrich your 3D scenes with the power of GLSL!

Overview

Learn about shaders in a step-by-step, interactive manner

Create stunning visual effects using vertex and fragment shaders

Simplify your CPU code and improve your overall performance with instanced drawing through the use...

F# for C# Developers

Microsoft Press, 2013

Extend your C# skills to F#—and create data-rich computational and parallel software components faster and more efficiently. Focusing on F# 3.0 and Microsoft Visual Studio 2012, you’ll learn how to exploit F# features to solve both computationally-complex problems as well as everyday programming tasks.

Topics...

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