CUDA学习路径

Day01

  • Born as a special-purpose processor for 3D graphics, the Graphics Processing Unit (GPU) started out as fixed-function hardware to accelerate parallel operations in real-time 3D rendering.
  • NVIDIA introduced the Compute Unified Device Architecture (CUDA) to enable any computational workload to use the throughput capability of GPUs independent of graphics APIs.
  • GPUs and CPUs are designed with different goals in mind. While a CPU is designed to excel at executing a serial sequence of operations (called a thread) as fast as possible and can execute a few tens of these threads in parallel, a GPU is designed to excel at executing thousands of threads in parallel, trading off lower single-thread performance to achieve much greater total throughput.
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