CUDA C++ Programming Guide (NVIDIA Corporation)（Z-Library）

Author： NVIDIA Corporation

This is NVIDIA's official guide for CUDA C++, a parallel computing platform that allows GPU acceleration using C++. What You’ll Learn: CUDA architecture: How threads, blocks, and warps work. Memory hierarchy: Registers, shared memory, global memory optimizations. Parallel algorithms: Implementing reductions, prefix sums, and matrix multiplication. Optimization techniques: Profiling, occupancy, and efficient memory access patterns. Example Topic: Thread divergence: Explains why branching in CUDA (e.g., if-else statements) inside a warp can slow execution.