set_rmax.cuh
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#ifndef STIM_CUDA_SET_RMAX_H
#define STIM_CUDA_SET_RMAX_H
#include <iostream>
#include <cuda.h>
#include <stim/cuda/cudatools.h>
#include <stim/cuda/sharedmem.cuh>
#include <stim/cuda/cudatools/error.h>
template<typename T>
__global__ void cuda_set_rmax(T* gpu_r, int rx, int ry, int rz, int x, int y, int z){
//calculate x,y,z coordinates for this thread
int xi = blockIdx.x * blockDim.x + threadIdx.x;
//find the grid size along y
int grid_y = y / blockDim.y;
int blockidx_y = blockIdx.y % grid_y;
int yi = blockidx_y * blockDim.y + threadIdx.y;
int zi = blockIdx.y / grid_y;
int i = zi * x * y + yi * x + xi;
if(xi>=x || yi>=y || zi>=z) return;
gpu_r[i*3+0] = rx;
gpu_r[i*3+1] = ry;
gpu_r[i*3+2] = rz;
}
template<typename T>
void gpu_set_rmax(T* gpu_r, unsigned int r[], unsigned int x, unsigned int y, unsigned int z){
unsigned int max_threads = stim::maxThreadsPerBlock();
dim3 threads(sqrt (max_threads),sqrt (max_threads));
dim3 blocks(x / threads.x + 1, (y / threads.y + 1) * z);
//call the kernel to do the voting
cuda_set_rmax <T> <<< blocks, threads >>>(gpu_r, r[0], r[1], r[2], x , y, z);
}
template<typename T>
void cpu_set_rmax(T* cpu_r, unsigned int r[], unsigned int x, unsigned int y, unsigned int z){
//calculate the number of bytes in the array
unsigned int bytes = x * y * z * sizeof(T);
//allocate space on the GPU for the rmax
T* gpu_r;
cudaMalloc(&gpu_vote, bytes*3);
cudaMemcpy(gpu_r, cpu_r, bytes*3, cudaMemcpyHostToDevice);
//call the GPU version of the vote calculation function
gpu_set_rmax<T>(gpu_r, r, x , y, z);
//copy the Vote Data back to the CPU
cudaMemcpy(cpu_r, gpu_r, bytes*3, cudaMemcpyDeviceToHost) ;
//free allocated memory
cudaFree(gpu_r);
}
#endif