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Understanding CUDA Programming Basics for Efficient Execution

This lecture review covers CUDA programming execution model, basic structure, memory management with cudaMalloc, cudaMemcpy, and cudaFree. It explains __global__ functions, kernel launch configuration using <<<grid, block>>>, thread organization, and ways to find thread IDs and numbers. It delves into Dim3 thread organization variables like threadIdx, blockIdx, gridDim, and blockDim for computing global IDs effectively.

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Understanding CUDA Programming Basics for Efficient Execution

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  1. Lecture 19 review • CUDA programming execution model • CUDA program basic structure • cudaMalloc, cudaMemcpy, cudaFree • __global__, myKernel<<<grid, block>>>(arg,…) • CUDA thread organization • How to find my id, and number of threads? • Dim3 threadIdx, blockIdx, gridDim, blockDim • How to compute global id from these variables?

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