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8: Soporte para CUDA y OpenCL
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Desarrollo de Software
Programas GPU cargados se comportan como funciones de
Mathematica
Una vez que se cargan programas GPU, se comportan como cualquier otra función de
Mathematica.
Aquí se pasa una imagen a una función CUDA.
In[1]:=
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src = " __device__ int xclamp(int val, int low, int high) { return val <= low ? low : (val >= high ? high : val); } __device__ int adjust(int pixel, float lowIn, float highIn, float \ lowOut, float highOut, float gamma) { float res, val; val = xclamp(pixel, lowIn, highIn); res = pow((val - lowIn) / (highIn - lowIn), gamma); res = res * (highOut - lowOut) - lowOut; return res + 0.5f; } __global__ void imageAdjust(int * img, int width, int height, int \ channels, float lowIn, float highIn, float lowOut, float highOut, \ float gamma) { int xIndex = threadIdx.x + blockIdx.x * blockDim.x; int yIndex = threadIdx.y + blockIdx.y * blockDim.y; if (xIndex >= width || yIndex >= height) return ; int pos = channels * (yIndex * width + xIndex); for (int ii = 0; ii < channels; ii++) { img[pos + ii] = adjust(img[pos + ii], 255*lowIn, 255*highIn, \ 255*lowOut, 255*highOut, gamma); } }";
In[2]:=
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cCUDAImageAdjust = CUDAFunctionLoad[src, "imageAdjust", {{_Integer}, _Integer, _Integer, _Integer, "Float", "Float", "Float", "Float", "Float"}, {16, 16}]
In[3]:=
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CUDAImageAdjust[img_Image, {lowIn_Real, highIn_Real}, gamma_: 1.0] /; Head[gamma] == Real := CUDAImageAdjust[img, {lowIn, highIn}, {0.0, 1.0}, gamma] CUDAImageAdjust[ img_Image, {lowIn_Real, highIn_Real}, {lowOut_Real, highOut_Real}, gamma_: 1.0] := Module[{width, height, channels}, {height, width, channels} = Flatten[{ImageDimensions[img], ImageChannels[img]}]; cCUDAImageAdjust[img, width, height, channels, lowIn, highIn, lowOut, highOut, gamma, {width, height}] // First ]
In[4]:=
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Out[4]=