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#include <iostream>
#include <quadmath.h>
#include "sleefquadinline_cuda.h"
// Based on the tutorial code at https://developer.nvidia.com/blog/even-easier-introduction-cuda/
__global__ void pow_gpu(int n, Sleef_quadx1 *r, Sleef_quadx1 *x, Sleef_quadx1 *y) {
int index = threadIdx.x, stride = blockDim.x;
for (int i = index; i < n; i += stride)
r[i] = Sleef_powq1_u10cuda(x[i], y[i]);
}
int main(void) {
int N = 1 << 20;
Sleef_quadx1 *rd, *xd, *yd;
cudaMallocManaged(&rd, N*sizeof(Sleef_quadx1));
cudaMallocManaged(&xd, N*sizeof(Sleef_quadx1));
cudaMallocManaged(&yd, N*sizeof(Sleef_quadx1));
__float128 *r = (__float128 *)rd, *x = (__float128 *)xd, *y = (__float128 *)yd;
for (int i = 0; i < N; i++) {
r[i] = 0.0;
x[i] = 1.00001Q;
y[i] = i;
}
pow_gpu<<<1, 256>>>(N, rd, xd, yd);
cudaDeviceSynchronize();
double maxError = 0.0;
for (int i = 0; i < N; i++)
maxError = fmax(maxError, fabsq(r[i]-powq(x[i], y[i])));
std::cout << "Max error: " << maxError << std::endl;
cudaFree(yd);
cudaFree(xd);
cudaFree(rd);
return 0;
}
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