Programming a Matrix Multiplication for GPUs with CUDA

CUDA makes it possible to program the GPU with the language C. This article will show you the steps to code a matrix multiplication routine in CUDA:

  • allocate memory on the GPU with cudaMalloc or cudaMallocPitch (for aligned memory allocation)
  • move data to the GPU with cudaMemcpy2D
  • select the kernel domain, write the kernel and run it
  • move results back from the GPU to the host with cudaMemcpy2D
  • free resources with cudaFree

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