streamming multiprocessor (SM) - each chip contains up to ~100 SMs, depending on a model.the chip - the whole processor of the GPU.The CUDA-enabled GPU processor has the following physical structure: kernel - a function that resides on the device that can be invoked from the host code.A single host can support multiple devices. device - refers to a specific GPU that CUDA programs run in.host - refers to normal CPU-based hardware and normal programs that run in that environment. However, due to the architecture differences, most algorithms cannot be simply copy-pasted from plain C++ - they would run, but would be very slow. On the other hand, GPU is able to run several thousands of threads in parallel and even more concurrently (precise numbers depend on the actual GPU model).ĬUDA is a C++ dialect designed specifically for NVIDIA GPU architecture. GPUs are highly parallel machines capable of running thousands of lightweight threads in parallel.Įach GPU thread is usually slower in execution and their context is smaller. CUDA is a proprietary NVIDIA parallel computing technology and programming language for their GPUs.
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