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Book Review

Book Review. CUDA PROGRAMMING: A DEVELOPERS GUIDE TO PARALLEL COMPUTING WITH GPUS SHANE COOK. Categories of CUDA Topics. November 2012 576 Pages $48.70. Table of Contents:. A Short History of Supercomputing Understanding Parallelism with GPUs CUDA Hardware Overview Setting up CUDA

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Book Review

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  1. Book Review CUDA PROGRAMMING: A DEVELOPERS GUIDE TO PARALLEL COMPUTING WITH GPUS SHANE COOK

  2. Categories of CUDA Topics

  3. November 2012 576 Pages $48.70

  4. Table of Contents: • A Short History of Supercomputing • Understanding Parallelism with GPUs • CUDA Hardware Overview • Setting up CUDA • Grids, Blocks and Threads • Memory Handling with CUDA • Using CUDA in Practice • Multi-CPU and Multi-GPU Solutions • Optimizing Your Application • Libraries and SDK • Designing GPU-Based Systems • Common Problems, Causes, and Solutions

  5. Good Impressions • Treatment of many unique topics • Good figures, diagrams • Broad, broad topic range • Breadth makes it best single introduction to CUDA

  6. Bad Impressions • Broad, broad topic range • Inconsistent level of detail • Unedited text (minor typos and rambling) • Very poor Kepler discussion • Not a reference nor a textbook nor an overview

  7. Complementing references: REFERENCE: NVIDIA CUDA Toolkit Documentation CLASS TEXT: Programming Massively Parallel Processors (Kirk and Hwu) BROAD CODING INTRODUCTION: CUDA Application Design and Development (Farber) CUDA ALGORITHMS AND EXAMPLES: GPU Computing Gems series

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