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CUDA tutorial: Difference between revisions
→CUDA Execution Model
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* each GPU core (streaming processor) execute a sequential '''Thread''', where '''Thread''' is a smallest set of instructions handled by the operating system's schedule. | * each GPU core (streaming processor) execute a sequential '''Thread''', where '''Thread''' is a smallest set of instructions handled by the operating system's schedule. | ||
* all GPU cores execute the kernel in a SIMT fashion (Single Instruction Multiple Threads) | * all GPU cores execute the kernel in a SIMT fashion (Single Instruction Multiple Threads) | ||
Usually the following procedure is recommended when it comes to executing on GPU: | |||
1. Copy input data from CPU memory to GPU memory | |||
2. Load GPU program (Kernel) and execute it | |||
3. Copy results from GPU memory back to CPU memory | |||
= First CUDA C Program= | = First CUDA C Program= | ||