CUDA Succinctly
Chris Rose
Succinctly Series On The Go
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.
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Introduction
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Creating a CUDA Project
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Architecture
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First Kernels
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Porting from C++
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Shared Memory
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Blocking with Shared Memory
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NVIDIA Visual Profiler (NVVP)
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Nsight
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CUDA Libraries
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Conclusion
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More Information
Author
ISBN
978-1-64200-027-6
Published on
December 31, 2014
Pages
119
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