CUDA Programming book cover

CUDA Programming

A Developer's Guide to Parallel Computing with GPUs

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 up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems.

Audience

Software engineers, programmers, hardware engineers, students / advanced students

Paperback, 600 Pages

Published: November 2012

Imprint: Morgan Kaufmann

ISBN: 978-0-12-415933-4

Reviews

  • "I must mention chapters 7, which deals with the practicalities of using the SDK, and 9, which offers advice and a detailed breakdown of areas that can limit the performance of a CUDA application. Together, these chapters transform this good book into the kind of excellent text that all CUDA developers can find useful, regardless of their relative experience."--ComputingReviews.com, July 12, 2013
    "This book is one of the most comprehensive on the subject published to date…it will guide those acquainted with GPU/CUDA from other books or from NVIDIA product documentation through the optimization maze to efficient CUDA/GPU coding."--ComputingReviews.com, April 25, 2013


Contents

    1. A Short History of Supercomputing
    2. Understanding Parallelism with GPUs
    3. CUDA Hardware Overview
    4. Setting up CUDA
    5. Grids, Blocks and Threads
    6. Memory Handling with CUDA
    7. Using CUDA in Practice
    8. Multi-CPU and Multi-GPU Solutions
    9. Optimizing Your Application
    10. Libraries and SDK
    11. Designing GPU-Based Systems
    12. Common Problems, Causes, and Solutions

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