Overview
CUDA programming is a powerful tool that allows developers to harness the parallel processing capabilities of NVIDIA GPUs. By writing kernel functions that can be executed by thousands of threads simultaneously, CUDA enables significant performance improvements for a variety of applications, from sc...
Key Terms
Example: Using CUDA, developers can harness the power of NVIDIA GPUs for complex computations.
Example: In CUDA, a kernel is launched to perform operations on large datasets.
Example: CUDA allows thousands of threads to run concurrently on a GPU.
Example: Data stored in global memory can be accessed by any thread during execution.
Example: Using shared memory can significantly speed up data access in CUDA programs.
Example: High occupancy can lead to better performance in CUDA applications.