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- Title: CUDA Succinctly
- Author(s) Chris Rose
- Publisher: Syncfusion Inc. (2014)
- Paperback: N/A
- eBook: PDF (119 Pages, 3.1 MB), ePub, Mobi, and Read Online
- Language: English
- ISBN-10/ASIN: N/A
- ISBN-13: 978-1-64200-027-6
- Share This:
GPUs can be used for much more than graphics processing. As opposed to a CPU, which can only run four or five threads at once, a GPU is made up of hundreds or even thousands of individual, low-powered cores, allowing it to perform thousands of concurrent operations. Because of this, GPUs can tackle large, complex problems on a much shorter time scale than CPUs. Dive into parallel programming on NVIDIA hardware with CUDA Succinctly by Chris Rose, and learn the basics of unlocking your graphics card.
This book discusses CUDA hardware and software in greater detail and covering both CUDA 5.0 and Kepler. Every CUDA developer, from the casual to the most sophisticated, will find something here of interest and immediate usefulness. Newer CUDA developers will see how the hardware processes commands and how the driver checks progress; more experienced CUDA developers will appreciate the expert coverage of topics such as the driver API and context migration, as well as the guidance on how best to structure CPU/GPU data interchange and synchronization.
About the Authors- N/A
- Computer and Video Game Programming
- Computer Graphics, 3D, Animation and Imaging
- The C++ Programming Language
- Succinctly Free eBooks Series
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Parallel Programming with CUDA: Architecture, Analysis, Application
This book offers a detailed guide to CUDA with a grounding in parallel fundamentals. With CUDA, you can use a desktop PC for work that would have previously required a large cluster of PCs or access to a High-Performance Computing (HPC) facility.
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CUDA Tutorial (Putt Sakdhnagool)
This book introduces the essentials of CUDA C programming clearly and concisely, quickly guiding you from running sample programs to building your own code, assumes no specialized background in GPU-based or parallel computing.
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GPU Gems 3 by Addison-Wesley (Hubert Nguyen)
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GPU Gems 2: Programming for High-Performance Graphics
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GPU Gems: Techniques, Tips and Tricks for Real-Time Graphics
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The Cg Tutorial: The Guide to Programmable Real-Time Graphics
Cg (C for graphics) is a complete programming environment for the fast creation of special effects and real-time cinematic quality experiences. This book explains how to implement both basic and advanced techniques for today's programmable GPU architectures.
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BIG CPU, BIG DATA: Solving the World's Toughest Problems
This book teaches you how to write parallel programs for multicore machines, compute clusters, GPU accelerators, and big data map-reduce jobs, in the Java language, with the free, easy-to-use, object-oriented Parallel Java 2 Library.
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Programming on Parallel Machines: GPU, Multicore, Clusters, etc.
The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs.
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