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CUDA tutorial: Difference between revisions
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Provides access to instructions and memory of massively parallel elements in GPU. | Provides access to instructions and memory of massively parallel elements in GPU. | ||
Another definition: CUDA is scalable parallel programming model and software environment for parallel computing. | Another definition: CUDA is scalable parallel programming model and software environment for parallel computing. | ||
=CUDA GPU Architecture = | |||
There two main components of the GPU: | |||
* Global memory | |||
** Similar to CPU memory | |||
** Accessible by both CPU and GPU | |||
*Streaming multiprocessors (SMs) | |||
**They perform actual computations | |||
**Each SM has its own control init, registers, execution pipelines, etc | |||
=CUDA Programming Model= | =CUDA Programming Model= | ||
Before we start talking about programming model, let us go over some useful terminology: | Before we start talking about programming model, let us go over some useful terminology: | ||