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CUDA Succinctly premier


Chris Rose

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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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