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CUDA Succinctly


Chris Rose

c-ebook
Free EBook
  • OVERVIEW

    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.

  • TABLE OF CONTENTS
    • Introduction

    • Creating a CUDA Project

    • Architecture

    • First Kernels

    • Porting from C++

    • Shared Memory

    • Blocking with Shared Memory

    • NVIDIA Visual Profiler (NVVP)

    • Nsight

    • CUDA Libraries

    • Conclusion

    • More Information

Author

Chris Rose

Published on

Dec 31, 2014

Pages

119

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