Author Topic: VUDA: CUDA in Vulkan  (Read 757 times)

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JeGX

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VUDA: CUDA in Vulkan
« on: October 08, 2018, 08:17:33 PM »
VUDA is a header-only lib based on Vulkan that provides a CUDA Runtime API interface for writing GPU-accelerated applications.

Link: https://github.com/jgbit/vuda

Example:
Code: [Select]
#include <vuda.hpp>
int main(void)
{
  // allocate memory on the device
  const int N = 5000;
  int a[N], b[N], c[N];
  for(int i=0; i<N; ++i)
  {
    a[i] = -i;
    b[i] = i*i;
  }
  int *dev_a, *dev_b, *dev_c;
  vuda::malloc((void**)&dev_a, N * sizeof(int));
  vuda::malloc((void**)&dev_b, N * sizeof(int));
  vuda::malloc((void**)&dev_c, N * sizeof(int));
  // copy the arrays a and b to the device
  vuda::memcpy(dev_a, a, N * sizeof(int), vuda::memcpyHostToDevice);
  vuda::memcpy(dev_b, b, N * sizeof(int), vuda::memcpyHostToDevice);
  // run kernel (vulkan shader module)
  const int stream_id = 0;
  const int blocks = 128;
  const int threads = 128;
  vuda::kernelLaunch("add.spv", "main", blocks, threads, stream_id, dev_a, dev_b, dev_c, N);
  // copy result to host
  vuda::memcpy(c, dev_c, N * sizeof(int), vuda::memcpyDeviceToHost);

  // do something useful with the result in array c ...

  // free memory on device
  vuda::free(dev_a);
  vuda::free(dev_b);
  vuda::free(dev_c);
}