summaryrefslogtreecommitdiffstats
path: root/src
diff options
context:
space:
mode:
Diffstat (limited to 'src')
-rw-r--r--src/Core/regularisers_GPU/TGV_GPU_core.cu487
-rw-r--r--src/Core/regularisers_GPU/TGV_GPU_core.h2
2 files changed, 253 insertions, 236 deletions
diff --git a/src/Core/regularisers_GPU/TGV_GPU_core.cu b/src/Core/regularisers_GPU/TGV_GPU_core.cu
index e4abf72..849219b 100644
--- a/src/Core/regularisers_GPU/TGV_GPU_core.cu
+++ b/src/Core/regularisers_GPU/TGV_GPU_core.cu
@@ -38,49 +38,49 @@ limitations under the License.
* [1] K. Bredies "Total Generalized Variation"
*/
+
+#define BLKXSIZE2D 16
+#define BLKYSIZE2D 16
+
#define BLKXSIZE 8
#define BLKYSIZE 8
-#define BLKZSIZE 8
-
-#define BLKXSIZE2D 8
-#define BLKYSIZE2D 8
-#define EPS 1.0e-7
-#define idivup(a, b) ( ((a)%(b) != 0) ? (a)/(b)+1 : (a)/(b) )
+#define BLKZSIZE 8
+#define idivup(a, b) ( ((a)%(b) != 0) ? (a)/(b)+1 : (a)/(b) )
/********************************************************************/
/***************************2D Functions*****************************/
/********************************************************************/
-__global__ void DualP_2D_kernel(float *U, float *V1, float *V2, float *P1, float *P2, int dimX, int dimY, float sigma)
+__global__ void DualP_2D_kernel(float *U, float *V1, float *V2, float *P1, float *P2, long dimX, long dimY, float sigma)
{
- int num_total = dimX*dimY;
- const int i = blockDim.x * blockIdx.x + threadIdx.x;
- const int j = blockDim.y * blockIdx.y + threadIdx.y;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
- int index = i + dimX*j;
+ long index = i + (dimX)*j;
- if (index < num_total) {
+ if ((i < dimX) && (j < dimY)) {
/* symmetric boundary conditions (Neuman) */
if ((i >= 0) && (i < dimX-1)) P1[index] += sigma*((U[(i+1) + dimX*j] - U[index]) - V1[index]);
- else P1[index] += sigma*(-V1[index]);
+ else if (i == dimX-1) P1[index] -= sigma*(V1[index]);
+ else P1[index] = 0.0f;
if ((j >= 0) && (j < dimY-1)) P2[index] += sigma*((U[i + dimX*(j+1)] - U[index]) - V2[index]);
- else P2[index] += sigma*(-V2[index]);
+ else if (j == dimY-1) P2[index] -= sigma*(V2[index]);
+ else P2[index] = 0.0f;
}
return;
}
-__global__ void ProjP_2D_kernel(float *P1, float *P2, int dimX, int dimY, float alpha1)
+__global__ void ProjP_2D_kernel(float *P1, float *P2, long dimX, long dimY, float alpha1)
{
float grad_magn;
- int num_total = dimX*dimY;
- const int i = blockDim.x * blockIdx.x + threadIdx.x;
- const int j = blockDim.y * blockIdx.y + threadIdx.y;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
- int index = i + dimX*j;
+ long index = i + (dimX)*j;
- if (index < num_total) {
- grad_magn = sqrtf(pow(P1[index],2) + pow(P2[index],2));
+ if ((i < dimX) && (j < dimY)) {
+ grad_magn = sqrtf(powf(P1[index],2) + powf(P2[index],2));
grad_magn = grad_magn/alpha1;
if (grad_magn > 1.0f) {
P1[index] /= grad_magn;
@@ -90,17 +90,15 @@ __global__ void ProjP_2D_kernel(float *P1, float *P2, int dimX, int dimY, float
return;
}
-__global__ void DualQ_2D_kernel(float *V1, float *V2, float *Q1, float *Q2, float *Q3, int dimX, int dimY, float sigma)
+__global__ void DualQ_2D_kernel(float *V1, float *V2, float *Q1, float *Q2, float *Q3, long dimX, long dimY, float sigma)
{
float q1, q2, q11, q22;
- int num_total = dimX*dimY;
-
- const int i = blockDim.x * blockIdx.x + threadIdx.x;
- const int j = blockDim.y * blockIdx.y + threadIdx.y;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
- int index = i + dimX*j;
+ long index = i + (dimX)*j;
- if (index < num_total) {
+ if ((i < dimX) && (j < dimY)) {
q1 = 0.0f; q2 = 0.0f; q11 = 0.0f; q22 = 0.0f;
if ((i >= 0) && (i < dimX-1)) {
@@ -120,18 +118,16 @@ __global__ void DualQ_2D_kernel(float *V1, float *V2, float *Q1, float *Q2, floa
return;
}
-__global__ void ProjQ_2D_kernel(float *Q1, float *Q2, float *Q3, int dimX, int dimY, float alpha0)
+__global__ void ProjQ_2D_kernel(float *Q1, float *Q2, float *Q3, long dimX, long dimY, float alpha0)
{
float grad_magn;
- int num_total = dimX*dimY;
-
- const int i = blockDim.x * blockIdx.x + threadIdx.x;
- const int j = blockDim.y * blockIdx.y + threadIdx.y;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
- int index = i + dimX*j;
+ long index = i + (dimX)*j;
- if (index < num_total) {
- grad_magn = sqrt(pow(Q1[index],2) + pow(Q2[index],2) + 2*pow(Q3[index],2));
+ if ((i < dimX) && (j < dimY)) {
+ grad_magn = sqrt(powf(Q1[index],2) + powf(Q2[index],2) + 2*powf(Q3[index],2));
grad_magn = grad_magn/alpha0;
if (grad_magn > 1.0f) {
Q1[index] /= grad_magn;
@@ -142,26 +138,26 @@ __global__ void ProjQ_2D_kernel(float *Q1, float *Q2, float *Q3, int dimX, int d
return;
}
-__global__ void DivProjP_2D_kernel(float *U, float *U0, float *P1, float *P2, int dimX, int dimY, float lambda, float tau)
+__global__ void DivProjP_2D_kernel(float *U, float *U0, float *P1, float *P2, long dimX, long dimY, float lambda, float tau)
{
float P_v1, P_v2, div;
- int num_total = dimX*dimY;
-
- const int i = blockDim.x * blockIdx.x + threadIdx.x;
- const int j = blockDim.y * blockIdx.y + threadIdx.y;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
- int index = i + dimX*j;
+ long index = i + (dimX)*j;
- if (index < num_total) {
- P_v1 = 0.0f; P_v2 = 0.0f;
-
- if (i == 0) P_v1 = P1[index];
- if (i == dimX-1) P_v1 = -P1[(i-1) + dimX*j];
+ if ((i < dimX) && (j < dimY)) {
+
if ((i > 0) && (i < dimX-1)) P_v1 = P1[index] - P1[(i-1) + dimX*j];
+ else if (i == dimX-1) P_v1 = -P1[(i-1) + dimX*j];
+ else if (i == 0) P_v1 = P1[index];
+ else P_v1 = 0.0f;
- if (j == 0) P_v2 = P2[index];
- if (j == dimY-1) P_v2 = -P2[i + dimX*(j-1)];
if ((j > 0) && (j < dimY-1)) P_v2 = P2[index] - P2[i + dimX*(j-1)];
+ else if (j == dimY-1) P_v2 = -P2[i + dimX*(j-1)];
+ else if (j == 0) P_v2 = P2[index];
+ else P_v2 = 0.0f;
+
div = P_v1 + P_v2;
U[index] = (lambda*(U[index] + tau*div) + tau*U0[index])/(lambda + tau);
@@ -169,18 +165,19 @@ __global__ void DivProjP_2D_kernel(float *U, float *U0, float *P1, float *P2, in
return;
}
-__global__ void UpdV_2D_kernel(float *V1, float *V2, float *P1, float *P2, float *Q1, float *Q2, float *Q3, int dimX, int dimY, float tau)
+__global__ void UpdV_2D_kernel(float *V1, float *V2, float *P1, float *P2, float *Q1, float *Q2, float *Q3, long dimX, long dimY, float tau)
{
float q1, q3_x, q2, q3_y, div1, div2;
- int num_total = dimX*dimY;
- int i1, j1;
+ long i1, j1;
- const int i = blockDim.x * blockIdx.x + threadIdx.x;
- const int j = blockDim.y * blockIdx.y + threadIdx.y;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
- int index = i + dimX*j;
+ long index = i + (dimX)*j;
- if (index < num_total) {
+ if ((i < dimX) && (j < dimY)) {
+
+ q1 = 0.0f; q3_x = 0.0f; q2 = 0.0f; q3_y = 0.0f; div1 = 0.0f; div2= 0.0f;
i1 = (i-1) + dimX*j;
j1 = (i) + dimX*(j-1);
@@ -222,94 +219,95 @@ __global__ void UpdV_2D_kernel(float *V1, float *V2, float *P1, float *P2, float
return;
}
-__global__ void copyIm_TGV_kernel(float *U, float *U_old, int N, int M, int num_total)
+__global__ void copyIm_TGV_kernel(float *U, float *U_old, long dimX, long dimY)
{
- int xIndex = blockDim.x * blockIdx.x + threadIdx.x;
- int yIndex = blockDim.y * blockIdx.y + threadIdx.y;
-
- int index = xIndex + N*yIndex;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
+
+ long index = i + (dimX)*j;
- if (index < num_total) {
+ if ((i < dimX) && (j < dimY)) {
U_old[index] = U[index];
}
}
-__global__ void copyIm_TGV_kernel_ar2(float *V1, float *V2, float *V1_old, float *V2_old, int N, int M, int num_total)
+__global__ void copyIm_TGV_kernel_ar2(float *V1, float *V2, float *V1_old, float *V2_old, long dimX, long dimY)
{
- int xIndex = blockDim.x * blockIdx.x + threadIdx.x;
- int yIndex = blockDim.y * blockIdx.y + threadIdx.y;
-
- int index = xIndex + N*yIndex;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
+
+ long index = i + (dimX)*j;
- if (index < num_total) {
+ if ((i < dimX) && (j < dimY)) {
V1_old[index] = V1[index];
V2_old[index] = V2[index];
}
}
-__global__ void newU_kernel(float *U, float *U_old, int N, int M, int num_total)
+__global__ void newU_kernel(float *U, float *U_old, long dimX, long dimY)
{
- int xIndex = blockDim.x * blockIdx.x + threadIdx.x;
- int yIndex = blockDim.y * blockIdx.y + threadIdx.y;
-
- int index = xIndex + N*yIndex;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
+
+ long index = i + (dimX)*j;
- if (index < num_total) {
+ if ((i < dimX) && (j < dimY)) {
U[index] = 2.0f*U[index] - U_old[index];
}
}
-__global__ void newU_kernel_ar2(float *V1, float *V2, float *V1_old, float *V2_old, int N, int M, int num_total)
+__global__ void newU_kernel_ar2(float *V1, float *V2, float *V1_old, float *V2_old, long dimX, long dimY)
{
- int xIndex = blockDim.x * blockIdx.x + threadIdx.x;
- int yIndex = blockDim.y * blockIdx.y + threadIdx.y;
-
- int index = xIndex + N*yIndex;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
+
+ long index = i + (dimX)*j;
- if (index < num_total) {
+ if ((i < dimX) && (j < dimY)) {
V1[index] = 2.0f*V1[index] - V1_old[index];
V2[index] = 2.0f*V2[index] - V2_old[index];
}
}
+
/********************************************************************/
/***************************3D Functions*****************************/
/********************************************************************/
-__global__ void DualP_3D_kernel(float *U, float *V1, float *V2, float *V3, float *P1, float *P2, float *P3, int dimX, int dimY, int dimZ, float sigma)
+__global__ void DualP_3D_kernel(float *U, float *V1, float *V2, float *V3, float *P1, float *P2, float *P3, long dimX, long dimY, long dimZ, float sigma)
{
- int index;
- const int i = blockDim.x * blockIdx.x + threadIdx.x;
- const int j = blockDim.y * blockIdx.y + threadIdx.y;
- const int k = blockDim.z * blockIdx.z + threadIdx.z;
-
- int num_total = dimX*dimY*dimZ;
-
- index = (dimX*dimY)*k + i*dimX+j;
- if (index < num_total) {
+ long index;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
+ const long k = blockDim.z * blockIdx.z + threadIdx.z;
+
+ index = (dimX*dimY)*k + i*dimX+j;
+
+ if ((i < dimX) && (j < dimY) && (k < dimZ)) {
/* symmetric boundary conditions (Neuman) */
if ((i >= 0) && (i < dimX-1)) P1[index] += sigma*((U[(dimX*dimY)*k + (i+1)*dimX+j] - U[index]) - V1[index]);
- else P1[index] += sigma*(-V1[index]);
+ else if (i == dimX-1) P1[index] -= sigma*(V1[index]);
+ else P1[index] = 0.0f;
if ((j >= 0) && (j < dimY-1)) P2[index] += sigma*((U[(dimX*dimY)*k + i*dimX+(j+1)] - U[index]) - V2[index]);
- else P2[index] += sigma*(-V2[index]);
+ else if (j == dimY-1) P2[index] -= sigma*(V2[index]);
+ else P2[index] = 0.0f;
if ((k >= 0) && (k < dimZ-1)) P3[index] += sigma*((U[(dimX*dimY)*(k+1) + i*dimX+(j)] - U[index]) - V3[index]);
- else P3[index] += sigma*(-V3[index]);
- }
+ else if (k == dimZ-1) P3[index] -= sigma*(V3[index]);
+ else P3[index] = 0.0f;
+ }
return;
-}
+}
-__global__ void ProjP_3D_kernel(float *P1, float *P2, float *P3, int dimX, int dimY, int dimZ, float alpha1)
+__global__ void ProjP_3D_kernel(float *P1, float *P2, float *P3, long dimX, long dimY, long dimZ, float alpha1)
{
float grad_magn;
- int index;
- int num_total = dimX*dimY*dimZ;
-
- int i = blockDim.x * blockIdx.x + threadIdx.x;
- int j = blockDim.y * blockIdx.y + threadIdx.y;
- int k = blockDim.z * blockIdx.z + threadIdx.z;
+ long index;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
+ const long k = blockDim.z * blockIdx.z + threadIdx.z;
index = (dimX*dimY)*k + i*dimX+j;
- if (index < num_total) {
- grad_magn = (sqrtf(pow(P1[index],2) + pow(P2[index],2) + pow(P3[index],2)))/alpha1;
+ if ((i < dimX) && (j < dimY) && (k < dimZ)) {
+ grad_magn = (sqrtf(powf(P1[index],2) + powf(P2[index],2) + powf(P3[index],2)))/alpha1;
if (grad_magn > 1.0f) {
P1[index] /= grad_magn;
P2[index] /= grad_magn;
@@ -319,23 +317,22 @@ __global__ void ProjP_3D_kernel(float *P1, float *P2, float *P3, int dimX, int d
return;
}
-__global__ void DualQ_3D_kernel(float *V1, float *V2, float *V3, float *Q1, float *Q2, float *Q3, float *Q4, float *Q5, float *Q6, int dimX, int dimY, int dimZ, float sigma)
+__global__ void DualQ_3D_kernel(float *V1, float *V2, float *V3, float *Q1, float *Q2, float *Q3, float *Q4, float *Q5, float *Q6, long dimX, long dimY, long dimZ, float sigma)
{
- int index;
- float q1, q2, q3, q11, q22, q33, q44, q55, q66;
- int num_total = dimX*dimY*dimZ;
-
- int i = blockDim.x * blockIdx.x + threadIdx.x;
- int j = blockDim.y * blockIdx.y + threadIdx.y;
- int k = blockDim.z * blockIdx.z + threadIdx.z;
+ float q1, q2, q3, q11, q22, q33, q44, q55, q66;
+ long index;
+
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
+ const long k = blockDim.z * blockIdx.z + threadIdx.z;
index = (dimX*dimY)*k + i*dimX+j;
- int i1 = (dimX*dimY)*k + (i+1)*dimX+j;
- int j1 = (dimX*dimY)*k + (i)*dimX+(j+1);
- int k1 = (dimX*dimY)*(k+1) + (i)*dimX+(j);
+ long i1 = (dimX*dimY)*k + (i+1)*dimX+j;
+ long j1 = (dimX*dimY)*k + (i)*dimX+(j+1);
+ long k1 = (dimX*dimY)*(k+1) + (i)*dimX+(j);
- if (index < num_total) {
+ if ((i < dimX) && (j < dimY) && (k < dimZ)) {
q1 = 0.0f; q11 = 0.0f; q33 = 0.0f; q2 = 0.0f; q22 = 0.0f; q55 = 0.0f; q3 = 0.0f; q44 = 0.0f; q66 = 0.0f;
/* boundary conditions (Neuman) */
@@ -362,20 +359,18 @@ __global__ void DualQ_3D_kernel(float *V1, float *V2, float *V3, float *Q1, floa
return;
}
-__global__ void ProjQ_3D_kernel(float *Q1, float *Q2, float *Q3, float *Q4, float *Q5, float *Q6, int dimX, int dimY, int dimZ, float alpha0)
+__global__ void ProjQ_3D_kernel(float *Q1, float *Q2, float *Q3, float *Q4, float *Q5, float *Q6, long dimX, long dimY, long dimZ, float alpha0)
{
float grad_magn;
- int index;
- int num_total = dimX*dimY*dimZ;
-
- int i = blockDim.x * blockIdx.x + threadIdx.x;
- int j = blockDim.y * blockIdx.y + threadIdx.y;
- int k = blockDim.z * blockIdx.z + threadIdx.z;
+ long index;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
+ const long k = blockDim.z * blockIdx.z + threadIdx.z;
index = (dimX*dimY)*k + i*dimX+j;
- if (index < num_total) {
- grad_magn = sqrtf(pow(Q1[index],2) + pow(Q2[index],2) + pow(Q3[index],2) + 2.0f*pow(Q4[index],2) + 2.0f*pow(Q5[index],2) + 2.0f*pow(Q6[index],2));
+ if ((i < dimX) && (j < dimY) && (k < dimZ)) {
+ grad_magn = sqrtf(powf(Q1[index],2) + powf(Q2[index],2) + powf(Q3[index],2) + 2.0f*powf(Q4[index],2) + 2.0f*powf(Q5[index],2) + 2.0f*powf(Q6[index],2));
grad_magn = grad_magn/alpha0;
if (grad_magn > 1.0f) {
Q1[index] /= grad_magn;
@@ -388,60 +383,56 @@ __global__ void ProjQ_3D_kernel(float *Q1, float *Q2, float *Q3, float *Q4, floa
}
return;
}
-__global__ void DivProjP_3D_kernel(float *U, float *U0, float *P1, float *P2, float *P3, int dimX, int dimY, int dimZ, float lambda, float tau)
+__global__ void DivProjP_3D_kernel(float *U, float *U0, float *P1, float *P2, float *P3, long dimX, long dimY, long dimZ, float lambda, float tau)
{
float P_v1, P_v2, P_v3, div;
- int index;
- int num_total = dimX*dimY*dimZ;
-
-
- int i = blockDim.x * blockIdx.x + threadIdx.x;
- int j = blockDim.y * blockIdx.y + threadIdx.y;
- int k = blockDim.z * blockIdx.z + threadIdx.z;
+ long index;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
+ const long k = blockDim.z * blockIdx.z + threadIdx.z;
index = (dimX*dimY)*k + i*dimX+j;
- int i1 = (dimX*dimY)*k + (i-1)*dimX+j;
- int j1 = (dimX*dimY)*k + (i)*dimX+(j-1);
- int k1 = (dimX*dimY)*(k-1) + (i)*dimX+(j);
-
- if (index < num_total) {
- P_v1 = 0.0f; P_v2 = 0.0f; P_v3 = 0.0f;
+ long i1 = (dimX*dimY)*k + (i-1)*dimX+j;
+ long j1 = (dimX*dimY)*k + (i)*dimX+(j-1);
+ long k1 = (dimX*dimY)*(k-1) + (i)*dimX+(j);
- if (i == 0) P_v1 = P1[index];
- if (i == dimX-1) P_v1 = -P1[i1];
+ if ((i < dimX) && (j < dimY) && (k < dimZ)) {
+
if ((i > 0) && (i < dimX-1)) P_v1 = P1[index] - P1[i1];
+ else if (i == dimX-1) P_v1 = -P1[i1];
+ else if (i == 0) P_v1 = P1[index];
+ else P_v1 = 0.0f;
- if (j == 0) P_v2 = P2[index];
- if (j == dimY-1) P_v2 = -P2[j1];
if ((j > 0) && (j < dimY-1)) P_v2 = P2[index] - P2[j1];
-
- if (k == 0) P_v3 = P3[index];
- if (k == dimZ-1) P_v3 = -P3[k1];
- if ((k > 0) && (k < dimZ-1)) P_v3 = P3[index] - P3[k1];
-
-
+ else if (j == dimY-1) P_v2 = -P2[j1];
+ else if (j == 0) P_v2 = P2[index];
+ else P_v2 = 0.0f;
+
+ if ((k > 0) && (k < dimZ-1)) P_v3 = P3[index] - P3[k1];
+ else if (k == dimZ-1) P_v3 = -P3[k1];
+ else if (k == 0) P_v3 = P3[index];
+ else P_v3 = 0.0f;
+
div = P_v1 + P_v2 + P_v3;
U[index] = (lambda*(U[index] + tau*div) + tau*U0[index])/(lambda + tau);
}
return;
}
-__global__ void UpdV_3D_kernel(float *V1, float *V2, float *V3, float *P1, float *P2, float *P3, float *Q1, float *Q2, float *Q3, float *Q4, float *Q5, float *Q6, int dimX, int dimY, int dimZ, float tau)
+__global__ void UpdV_3D_kernel(float *V1, float *V2, float *V3, float *P1, float *P2, float *P3, float *Q1, float *Q2, float *Q3, float *Q4, float *Q5, float *Q6, long dimX, long dimY, long dimZ, float tau)
{
float q1, q4x, q5x, q2, q4y, q6y, q6z, q5z, q3, div1, div2, div3;
- int index;
- int num_total = dimX*dimY*dimZ;
-
- int i = blockDim.x * blockIdx.x + threadIdx.x;
- int j = blockDim.y * blockIdx.y + threadIdx.y;
- int k = blockDim.z * blockIdx.z + threadIdx.z;
+ long index;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
+ const long k = blockDim.z * blockIdx.z + threadIdx.z;
index = (dimX*dimY)*k + i*dimX+j;
- int i1 = (dimX*dimY)*k + (i-1)*dimX+j;
- int j1 = (dimX*dimY)*k + (i)*dimX+(j-1);
- int k1 = (dimX*dimY)*(k-1) + (i)*dimX+(j);
+ long i1 = (dimX*dimY)*k + (i-1)*dimX+j;
+ long j1 = (dimX*dimY)*k + (i)*dimX+(j-1);
+ long k1 = (dimX*dimY)*(k-1) + (i)*dimX+(j);
/* Q1 - Q11, Q2 - Q22, Q3 - Q33, Q4 - Q21/Q12, Q5 - Q31/Q13, Q6 - Q32/Q23*/
- if (index < num_total) {
+ if ((i < dimX) && (j < dimY) && (k < dimZ)) {
/* boundary conditions (Neuman) */
if ((i > 0) && (i < dimX-1)) {
@@ -507,64 +498,60 @@ __global__ void UpdV_3D_kernel(float *V1, float *V2, float *V3, float *P1, float
return;
}
-__global__ void copyIm_TGV_kernel3D(float *U, float *U_old, int dimX, int dimY, int dimZ, int num_total)
+__global__ void copyIm_TGV_kernel3D(float *U, float *U_old, long dimX, long dimY, long dimZ)
{
- int index;
-
- int i = blockDim.x * blockIdx.x + threadIdx.x;
- int j = blockDim.y * blockIdx.y + threadIdx.y;
- int k = blockDim.z * blockIdx.z + threadIdx.z;
+ long index;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
+ const long k = blockDim.z * blockIdx.z + threadIdx.z;
index = (dimX*dimY)*k + j*dimX+i;
- if (index < num_total) {
+ if ((i < dimX) && (j < dimY) && (k < dimZ)) {
U_old[index] = U[index];
}
}
-__global__ void copyIm_TGV_kernel3D_ar3(float *V1, float *V2, float *V3, float *V1_old, float *V2_old, float *V3_old, int dimX, int dimY, int dimZ, int num_total)
+__global__ void copyIm_TGV_kernel3D_ar3(float *V1, float *V2, float *V3, float *V1_old, float *V2_old, float *V3_old, long dimX, long dimY, long dimZ)
{
- int index;
-
- int i = blockDim.x * blockIdx.x + threadIdx.x;
- int j = blockDim.y * blockIdx.y + threadIdx.y;
- int k = blockDim.z * blockIdx.z + threadIdx.z;
+ long index;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
+ const long k = blockDim.z * blockIdx.z + threadIdx.z;
index = (dimX*dimY)*k + j*dimX+i;
- if (index < num_total) {
+ if ((i < dimX) && (j < dimY) && (k < dimZ)) {
V1_old[index] = V1[index];
V2_old[index] = V2[index];
V3_old[index] = V3[index];
}
}
-__global__ void newU_kernel3D(float *U, float *U_old, int dimX, int dimY, int dimZ, int num_total)
+__global__ void newU_kernel3D(float *U, float *U_old, int dimX, int dimY, int dimZ)
{
- int index;
-
- int i = blockDim.x * blockIdx.x + threadIdx.x;
- int j = blockDim.y * blockIdx.y + threadIdx.y;
- int k = blockDim.z * blockIdx.z + threadIdx.z;
+ long index;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
+ const long k = blockDim.z * blockIdx.z + threadIdx.z;
index = (dimX*dimY)*k + j*dimX+i;
- if (index < num_total) {
+ if ((i < dimX) && (j < dimY) && (k < dimZ)) {
U[index] = 2.0f*U[index] - U_old[index];
}
}
-__global__ void newU_kernel3D_ar3(float *V1, float *V2, float *V3, float *V1_old, float *V2_old, float *V3_old, int dimX, int dimY, int dimZ, int num_total)
+__global__ void newU_kernel3D_ar3(float *V1, float *V2, float *V3, float *V1_old, float *V2_old, float *V3_old, long dimX, long dimY, long dimZ)
{
- int index;
-
- int i = blockDim.x * blockIdx.x + threadIdx.x;
- int j = blockDim.y * blockIdx.y + threadIdx.y;
- int k = blockDim.z * blockIdx.z + threadIdx.z;
+ long index;
+ const long i = blockDim.x * blockIdx.x + threadIdx.x;
+ const long j = blockDim.y * blockIdx.y + threadIdx.y;
+ const long k = blockDim.z * blockIdx.z + threadIdx.z;
index = (dimX*dimY)*k + j*dimX+i;
- if (index < num_total) {
+ if ((i < dimX) && (j < dimY) && (k < dimZ)) {
V1[index] = 2.0f*V1[index] - V1_old[index];
V2[index] = 2.0f*V2[index] - V2_old[index];
V3[index] = 2.0f*V3[index] - V3_old[index];
@@ -576,14 +563,20 @@ __global__ void newU_kernel3D_ar3(float *V1, float *V2, float *V3, float *V1_old
/*%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%*/
extern "C" int TGV_GPU_main(float *U0, float *U, float lambda, float alpha1, float alpha0, int iterationsNumb, float L2, int dimX, int dimY, int dimZ)
{
- int dimTotal, dev = 0;
- CHECK(cudaSetDevice(dev));
-
- dimTotal = dimX*dimY*dimZ;
+
+ int deviceCount = -1; // number of devices
+ cudaGetDeviceCount(&deviceCount);
+ if (deviceCount == 0) {
+ fprintf(stderr, "No CUDA devices found\n");
+ return -1;
+ }
+
+ long dimTotal = (long)(dimX*dimY*dimZ);
+
float *U_old, *d_U0, *d_U, *P1, *P2, *Q1, *Q2, *Q3, *V1, *V1_old, *V2, *V2_old, tau, sigma;
- tau = pow(L2,-0.5);
- sigma = pow(L2,-0.5);
+ tau = powf(L2,-0.5f);
+ sigma = tau;
CHECK(cudaMalloc((void**)&d_U0,dimTotal*sizeof(float)));
CHECK(cudaMalloc((void**)&d_U,dimTotal*sizeof(float)));
@@ -611,41 +604,51 @@ extern "C" int TGV_GPU_main(float *U0, float *U, float lambda, float alpha1, flo
if (dimZ == 1) {
/*2D case */
- dim3 dimBlock(BLKXSIZE2D,BLKYSIZE2D);
- dim3 dimGrid(idivup(dimX,BLKXSIZE2D), idivup(dimY,BLKYSIZE2D));
+ dim3 dimBlock(BLKXSIZE2D,BLKYSIZE2D);
+ dim3 dimGrid(idivup(dimX,BLKXSIZE2D), idivup(dimY,BLKYSIZE2D));
for(int n=0; n < iterationsNumb; n++) {
/* Calculate Dual Variable P */
- DualP_2D_kernel<<<dimGrid,dimBlock>>>(d_U, V1, V2, P1, P2, dimX, dimY, sigma);
- CHECK(cudaDeviceSynchronize());
+ DualP_2D_kernel<<<dimGrid,dimBlock>>>(d_U, V1, V2, P1, P2, (long)(dimX), (long)(dimY), sigma);
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
/*Projection onto convex set for P*/
- ProjP_2D_kernel<<<dimGrid,dimBlock>>>(P1, P2, dimX, dimY, alpha1);
- CHECK(cudaDeviceSynchronize());
+ ProjP_2D_kernel<<<dimGrid,dimBlock>>>(P1, P2, (long)(dimX), (long)(dimY), alpha1);
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
/* Calculate Dual Variable Q */
- DualQ_2D_kernel<<<dimGrid,dimBlock>>>(V1, V2, Q1, Q2, Q3, dimX, dimY, sigma);
- CHECK(cudaDeviceSynchronize());
+ DualQ_2D_kernel<<<dimGrid,dimBlock>>>(V1, V2, Q1, Q2, Q3, (long)(dimX), (long)(dimY), sigma);
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
/*Projection onto convex set for Q*/
- ProjQ_2D_kernel<<<dimGrid,dimBlock>>>(Q1, Q2, Q3, dimX, dimY, alpha0);
- CHECK(cudaDeviceSynchronize());
+ ProjQ_2D_kernel<<<dimGrid,dimBlock>>>(Q1, Q2, Q3, (long)(dimX), (long)(dimY), alpha0);
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
/*saving U into U_old*/
- copyIm_TGV_kernel<<<dimGrid,dimBlock>>>(d_U, U_old, dimX, dimY, dimTotal);
- CHECK(cudaDeviceSynchronize());
+ copyIm_TGV_kernel<<<dimGrid,dimBlock>>>(d_U, U_old, (long)(dimX), (long)(dimY));
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
/*adjoint operation -> divergence and projection of P*/
- DivProjP_2D_kernel<<<dimGrid,dimBlock>>>(d_U, d_U0, P1, P2, dimX, dimY, lambda, tau);
- CHECK(cudaDeviceSynchronize());
+ DivProjP_2D_kernel<<<dimGrid,dimBlock>>>(d_U, d_U0, P1, P2, (long)(dimX), (long)(dimY), lambda, tau);
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
/*get updated solution U*/
- newU_kernel<<<dimGrid,dimBlock>>>(d_U, U_old, dimX, dimY, dimTotal);
- CHECK(cudaDeviceSynchronize());
+ newU_kernel<<<dimGrid,dimBlock>>>(d_U, U_old, (long)(dimX), (long)(dimY));
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
/*saving V into V_old*/
- copyIm_TGV_kernel_ar2<<<dimGrid,dimBlock>>>(V1, V2, V1_old, V2_old, dimX, dimY, dimTotal);
- CHECK(cudaDeviceSynchronize());
+ copyIm_TGV_kernel_ar2<<<dimGrid,dimBlock>>>(V1, V2, V1_old, V2_old, (long)(dimX), (long)(dimY));
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
/* upd V*/
- UpdV_2D_kernel<<<dimGrid,dimBlock>>>(V1, V2, P1, P2, Q1, Q2, Q3, dimX, dimY, tau);
- CHECK(cudaDeviceSynchronize());
+ UpdV_2D_kernel<<<dimGrid,dimBlock>>>(V1, V2, P1, P2, Q1, Q2, Q3, (long)(dimX), (long)(dimY), tau);
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
/*get new V*/
- newU_kernel_ar2<<<dimGrid,dimBlock>>>(V1, V2, V1_old, V2_old, dimX, dimY, dimTotal);
- CHECK(cudaDeviceSynchronize());
+ newU_kernel_ar2<<<dimGrid,dimBlock>>>(V1, V2, V1_old, V2_old, (long)(dimX), (long)(dimY));
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
}
}
else {
@@ -671,35 +674,45 @@ extern "C" int TGV_GPU_main(float *U0, float *U, float lambda, float alpha1, flo
for(int n=0; n < iterationsNumb; n++) {
/* Calculate Dual Variable P */
- DualP_3D_kernel<<<dimGrid,dimBlock>>>(d_U, V1, V2, V3, P1, P2, P3, dimX, dimY, dimZ, sigma);
- CHECK(cudaDeviceSynchronize());
+ DualP_3D_kernel<<<dimGrid,dimBlock>>>(d_U, V1, V2, V3, P1, P2, P3, (long)(dimX), (long)(dimY), (long)(dimZ), sigma);
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
/*Projection onto convex set for P*/
- ProjP_3D_kernel<<<dimGrid,dimBlock>>>(P1, P2, P3, dimX, dimY, dimZ, alpha1);
- CHECK(cudaDeviceSynchronize());
+ ProjP_3D_kernel<<<dimGrid,dimBlock>>>(P1, P2, P3, (long)(dimX), (long)(dimY), (long)(dimZ), alpha1);
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
/* Calculate Dual Variable Q */
- DualQ_3D_kernel<<<dimGrid,dimBlock>>>(V1, V2, V3, Q1, Q2, Q3, Q4, Q5, Q6, dimX, dimY, dimZ, sigma);
- CHECK(cudaDeviceSynchronize());
+ DualQ_3D_kernel<<<dimGrid,dimBlock>>>(V1, V2, V3, Q1, Q2, Q3, Q4, Q5, Q6, (long)(dimX), (long)(dimY), (long)(dimZ), sigma);
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
/*Projection onto convex set for Q*/
- ProjQ_3D_kernel<<<dimGrid,dimBlock>>>(Q1, Q2, Q3, Q4, Q5, Q6, dimX, dimY, dimZ, alpha0);
- CHECK(cudaDeviceSynchronize());
+ ProjQ_3D_kernel<<<dimGrid,dimBlock>>>(Q1, Q2, Q3, Q4, Q5, Q6, (long)(dimX), (long)(dimY), (long)(dimZ), alpha0);
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
/*saving U into U_old*/
- copyIm_TGV_kernel3D<<<dimGrid,dimBlock>>>(d_U, U_old, dimX, dimY, dimZ, dimTotal);
- CHECK(cudaDeviceSynchronize());
+ copyIm_TGV_kernel3D<<<dimGrid,dimBlock>>>(d_U, U_old, (long)(dimX), (long)(dimY), (long)(dimZ));
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
/*adjoint operation -> divergence and projection of P*/
- DivProjP_3D_kernel<<<dimGrid,dimBlock>>>(d_U, d_U0, P1, P2, P3, dimX, dimY, dimZ, lambda, tau);
- CHECK(cudaDeviceSynchronize());
+ DivProjP_3D_kernel<<<dimGrid,dimBlock>>>(d_U, d_U0, P1, P2, P3, (long)(dimX), (long)(dimY), (long)(dimZ), lambda, tau);
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
/*get updated solution U*/
- newU_kernel3D<<<dimGrid,dimBlock>>>(d_U, U_old, dimX, dimY, dimZ, dimTotal);
- CHECK(cudaDeviceSynchronize());
+ newU_kernel3D<<<dimGrid,dimBlock>>>(d_U, U_old, (long)(dimX), (long)(dimY), (long)(dimZ));
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
/*saving V into V_old*/
- copyIm_TGV_kernel3D_ar3<<<dimGrid,dimBlock>>>(V1, V2, V3, V1_old, V2_old, V3_old, dimX, dimY, dimZ, dimTotal);
- CHECK(cudaDeviceSynchronize());
+ copyIm_TGV_kernel3D_ar3<<<dimGrid,dimBlock>>>(V1, V2, V3, V1_old, V2_old, V3_old, (long)(dimX), (long)(dimY), (long)(dimZ));
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
/* upd V*/
- UpdV_3D_kernel<<<dimGrid,dimBlock>>>(V1, V2, V3, P1, P2, P3, Q1, Q2, Q3, Q4, Q5, Q6, dimX, dimY, dimZ, tau);
- CHECK(cudaDeviceSynchronize());
+ UpdV_3D_kernel<<<dimGrid,dimBlock>>>(V1, V2, V3, P1, P2, P3, Q1, Q2, Q3, Q4, Q5, Q6, (long)(dimX), (long)(dimY), (long)(dimZ), tau);
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
/*get new V*/
- newU_kernel3D_ar3<<<dimGrid,dimBlock>>>(V1, V2, V3, V1_old, V2_old, V3_old, dimX, dimY, dimZ, dimTotal);
- CHECK(cudaDeviceSynchronize());
+ newU_kernel3D_ar3<<<dimGrid,dimBlock>>>(V1, V2, V3, V1_old, V2_old, V3_old, (long)(dimX), (long)(dimY), (long)(dimZ));
+ checkCudaErrors( cudaDeviceSynchronize() );
+ checkCudaErrors(cudaPeekAtLastError() );
}
CHECK(cudaFree(Q4));
@@ -724,5 +737,7 @@ extern "C" int TGV_GPU_main(float *U0, float *U, float lambda, float alpha1, flo
CHECK(cudaFree(V2));
CHECK(cudaFree(V1_old));
CHECK(cudaFree(V2_old));
+
+ cudaDeviceReset();
return 0;
}
diff --git a/src/Core/regularisers_GPU/TGV_GPU_core.h b/src/Core/regularisers_GPU/TGV_GPU_core.h
index 9f73d1c..e8f9c6e 100644
--- a/src/Core/regularisers_GPU/TGV_GPU_core.h
+++ b/src/Core/regularisers_GPU/TGV_GPU_core.h
@@ -1,6 +1,8 @@
#ifndef __TGV_GPU_H__
#define __TGV_GPU_H__
+
#include "CCPiDefines.h"
+#include <memory.h>
#include <stdio.h>
extern "C" CCPI_EXPORT int TGV_GPU_main(float *U0, float *U, float lambda, float alpha1, float alpha0, int iterationsNumb, float L2, int dimX, int dimY, int dimZ);