Wednesday, 6 June 2012

CUDA Application Design and Development

CUDA Application Design and Development
Author: Rob Farber
Edition: 1
Binding: Kindle Edition
ISBN: B006CFEA3K



CUDA Application Design and Development


As the computer industry retools to leverage massively parallel graphics processing units (GPUs), this book is designed to meet the needs of working software developers who need to understand GPU programming with CUDA and increase efficiency in their projects. Get CUDA Application Design and Development computer books for free.
CUDA Application Design and Development starts with an introduction to parallel computing concepts for readers with no previous parallel experience, and focuses on issues of immediate importance to working software developers: achieving high performance, maintaining competitiveness, analyzing CUDA benefits versus costs, and determining application lifespan. The book then details the thought behind CUDA and teaches how to create, analyze, and debug CUDA applications. Throughout, the focus Check CUDA Application Design and Development our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.

download

CUDA Application Design and Development Free


CUDA Application Design and Development starts with an introduction to parallel computing concepts for readers with no previous parallel experience, and focuses on issues of immediate importance to working software developers: achieving high performance, maintaining competitiveness, analyzing CUDA benefits versus costs, and determining application lifespan Throughout, the focus

Related Computer Books


CUDA by Example: An Introduction to General-Purpose GPU Programming


CUDA is a computing architecture designed to facilitate the development of parallel programs. In conjunction with a comprehensive software platform, the CUDA Architecture enables programmers to draw on the immense power of graphics processing units (

CUDA Programming: A Developer's Guide to Parallel Computing with GPUs (Applications of GPU Computing Series)


If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you

GPU Computing Gems Jade Edition (Applications of GPU Computing Series)


This is the second volume of Morgan Kaufmann's GPU Computing Gems, offering an all-new set of insights, ideas, and practical "hands-on" skills from researchers and developers worldwide. Each chapter gives you a window into the work being perfo

Heterogeneous Computing with OpenCL


Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fus

No comments:

Post a Comment