da3d4e0e
 dmayerich
Initial commit.
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__device__ float g(float v0, float v1)
{
return (v0 + v1)*log(abs(v0+v1)) + (v0-v1)*log(abs(v0-v1));
}
__device__ float hfin(float v0, float v1, float dv)
{
float e = 0.001;
float t0 = g(v0+e, v1-dv)/dv;
float t1 = 2*g(v0+e, v1)/dv;
float t2 = g(v0+e, v1+dv)/dv;
return -1.0/PI * (t0 - t1 + t2);
}
__global__ void devKramersKronig(float* gpuN, float* gpuK, int numVals, float nuStart, float nuEnd, float nOffset)
{
int i = blockIdx.x * blockDim.x + threadIdx.x;
if(i >= numVals) return;
float nuDelta = (nuEnd - nuStart)/(numVals - 1);
float nu = nuStart + i*nuDelta;
float n = 0.0;
float jNu;
float jK;
for(int j=1; j<numVals-1; j++)
{
jNu = nuStart + j*nuDelta;
jK = gpuK[j];
n += hfin(nu, jNu, nuDelta) * jK;
}
gpuN[i] = n + nOffset;
}
void cudaKramersKronig(float* cpuN, float* cpuK, int nVals, float nuStart, float nuEnd, float nOffset)
{
float* gpuK;
HANDLE_ERROR(cudaMalloc(&gpuK, sizeof(float)*nVals));
HANDLE_ERROR(cudaMemcpy(gpuK, cpuK, sizeof(float)*nVals, cudaMemcpyHostToDevice));
float* gpuN;
HANDLE_ERROR(cudaMalloc(&gpuN, sizeof(float)*nVals));
dim3 block(BLOCK_SIZE*BLOCK_SIZE);
dim3 grid(nVals/block.x + 1);
devKramersKronig<<<grid, block>>>(gpuN, gpuK, nVals, nuStart, nuEnd, nOffset);
HANDLE_ERROR(cudaMemcpy(cpuN, gpuN, sizeof(float)*nVals, cudaMemcpyDeviceToHost));
//free resources
HANDLE_ERROR(cudaFree(gpuK));
HANDLE_ERROR(cudaFree(gpuN));
}
__global__ void devComputeSpectrum(float* I, float2* B, float* alpha, int Nl,
int nSamples, float oThetaI, float oThetaO, float cThetaI, float cThetaO)
{
int i = blockIdx.x * blockDim.x + threadIdx.x;
//compute the delta-theta value
float dTheta = (oThetaO - oThetaI)/nSamples;
//allocate space for the Legendre polynomials
float Ptheta[2];
float cosTheta, theta;
cuComplex Us;
cuComplex UsSample;
cuComplex U;
cuComplex Ui;
Ui.x = 2*PI;
Ui.y = 0.0;
cuComplex numer;
numer.x = 0.0;
cuComplex exp_numer;
cuComplex iL;
cuComplex imag;
imag.x = 0.0; imag.y = 1.0;
float realFac;
cuComplex complexFac;
float PlTheta;
float Isum = 0.0;
float maxVal = 0;
float val;
for(int iTheta = 0; iTheta < nSamples; iTheta++)
{
//calculate theta
theta = iTheta * dTheta + oThetaI;
cosTheta = cos(theta);
//initialize the theta Legendre polynomial
Ptheta[0] = 1.0;
Ptheta[1] = cosTheta;
//initialize the scattered field
Us.x = Us.y = 0.0;
iL.x = 1.0;
iL.y = 0.0;
for(int l = 0; l<Nl; l++)
{
//compute the theta legendre polynomial
if(l == 0)
PlTheta = Ptheta[0];
else if(l == 1)
PlTheta = Ptheta[1];
else
{
PlTheta = ((2*l - 1)*cosTheta*Ptheta[1] - (l - 1)*Ptheta[0])/l;
Ptheta[0] = Ptheta[1];
Ptheta[1] = PlTheta;
}
//compute the real components of the scattered field
realFac = alpha[l] * PlTheta;
//compute the complex components of the scattered field
numer.x = 0.0;
numer.y = -(l*PI)/2.0;
exp_numer = cExp(numer);
complexFac = cMult(B[Nl * i + l], exp_numer);
complexFac = cMult(complexFac, iL);
//combine the real and complex components
UsSample = cMult(complexFac, realFac);
Us = cAdd(Us, UsSample);
//increment the imaginary exponent i^l
iL = cMult(iL, imag);
//val = cMag(Us);
//if(val > maxVal)
// maxVal = val;
//Us += B[l] * exp(numer) * Ptheta[l] * alpha * M * pow(complex<float>(0.0, 1.0), l);
}
//sum the scattered and incident fields
if(theta >= cThetaI && theta <= cThetaO)
U = cAdd(Us, 2*PI);
else
U = Us;
Isum += (U.x*U.x + U.y*U.y) * sin(theta) * 2 * PI * dTheta;
}
I[i] = Isum;
}
void cudaComputeSpectrum(float* cpuI, float* cpuB, float* cpuAlpha,
int Nl, int nLambda, float oThetaI, float oThetaO, float cThetaI, float cThetaO, int nSamples)
{
//copy everything to the GPU
float2* gpuB;
HANDLE_ERROR(cudaMalloc(&gpuB, sizeof(float2) * nLambda * Nl));
HANDLE_ERROR(cudaMemcpy(gpuB, cpuB, sizeof(float2) * nLambda * Nl, cudaMemcpyHostToDevice));
float* gpuAlpha;
HANDLE_ERROR(cudaMalloc(&gpuAlpha, sizeof(float) * Nl));
HANDLE_ERROR(cudaMemcpy(gpuAlpha, cpuAlpha, sizeof(float) * Nl, cudaMemcpyHostToDevice));
float* gpuI;
HANDLE_ERROR(cudaMalloc(&gpuI, sizeof(float) * nLambda));
//call the kernel to compute the spectrum
dim3 block(BLOCK_SIZE*BLOCK_SIZE);
dim3 grid(nLambda/block.x + 1);
//devComputeSpectrum
devComputeSpectrum<<<grid, block>>>(gpuI, (float2*)gpuB, gpuAlpha, Nl,
nSamples, oThetaI, oThetaO, cThetaI, cThetaO);
HANDLE_ERROR(cudaMemcpy(cpuI, gpuI, sizeof(float) * nLambda, cudaMemcpyDeviceToHost));
HANDLE_ERROR(cudaFree(gpuB));
HANDLE_ERROR(cudaFree(gpuAlpha));
HANDLE_ERROR(cudaFree(gpuI));
}
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