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/*
 * For a description of the algorithm and the terms used, please see the
 * documentation for this sample.
 *
 * On invocation of kernel blackScholes, each work thread calculates
 * thread-histogram bin and finally all thread-histograms merged into 
 * block-histogram bin. Outside the kernel, All block-histograms merged
 * into final histogram
 */

#define LINEAR_MEM_ACCESS
#pragma OPENCL EXTENSION cl_khr_byte_addressable_store : enable 



/**
 * @brief   Calculates block-histogram bin whose bin size is 256
 * @param   data  input data pointer
 * @param   sharedArray shared array for thread-histogram bins
 * @param   binResult block-histogram array
 */
__kernel
void histogram256(__global const uchar* data,
                  __local uchar* sharedArray,
                  __global uint* binResult, 
                  uint binSize)
{
    size_t localId = get_local_id(0);
    size_t globalId = get_global_id(0);
    size_t groupId = get_group_id(0);
    size_t groupSize = get_local_size(0);

    /* initialize shared array to zero */
    for(int i = 0; i < binSize; ++i)
        sharedArray[localId * binSize + i] = 0;

    barrier(CLK_LOCAL_MEM_FENCE);
    
    /* calculate thread-histograms */
    for(int i = 0; i < binSize; ++i)
    {
#ifdef LINEAR_MEM_ACCESS
        uchar value = data[groupId * groupSize * binSize + i * groupSize + localId];
#else
        uchar value = data[globalId * binSize + i];
#endif // LINEAR_MEM_ACCESS
        sharedArray[localId * binSize + value]++;
    }
    
    barrier(CLK_LOCAL_MEM_FENCE); 
    
    /* merge all thread-histograms into block-histogram */
    for(int i = 0; i < binSize / groupSize; ++i)
    {
        uint binCount = 0;
        for(int j = 0; j < groupSize; ++j)
            binCount += sharedArray[j * binSize + i * groupSize + localId];
            
        binResult[groupId * binSize + i * groupSize + localId] = binCount;
    }
}

__kernel
void bin256(__global uint* histo,
                  __global const uint* binResult,
                  uint subHistogramSize )
{
  size_t j = get_local_id(0);
  size_t binSize=get_global_size(0);
  uint histValue=0;
  for(int i = 0; i < subHistogramSize; ++i){
     histValue += binResult[i * binSize + j];
  }
  histo[j]=histValue;
}




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