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IEEE/ICACT20210136 Slide.13        [Big Slide]	Oral Presentation
	The basic computation resources on a CUDA enabled GPU are called CUDA cores, each of which can execute one integer or floating-point instruction per clock cycle. 32 CUDA cores are put together and accompanied with various memories and control units to generate a warp, which can execute the same instruction simultaneously. Multiple warps are organized in a certain way and accompanied with various memories and control units to create a Streaming Multiprocessor (SM). Usually, a GPU consists of multiple SMs and therefore hundreds or thousands of CUDA cores. In every clock cycle, all the CUDA cores can execute instructions in parallel. This is the foundation that highly parallel computing can be conducted on a GPU.

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