private void SetCudaData()
{
CudaHelpers.GetNumThreadsAndBlocks(problemSize, maxReductionBlocks, threadsPerBlock, ref reductionThreads, ref reductionBlocks);
alphaPtr = cuda.CopyHostToDevice(alpha);
gradPtr = cuda.CopyHostToDevice(G);
yPtr = cuda.CopyHostToDevice(y);
kernelDiagPtr = cuda.CopyHostToDevice(QD);
//kernel columns i,j is simpler to copy array of zeros
kiPtr = cuda.CopyHostToDevice(alpha);
kjPtr = cuda.CopyHostToDevice(alpha);
//todo:remove it
int redSize = reductionThreads; //reductionBlocks
reduceVal = new float[redSize];
reduceIdx = new int[redSize];
valRedPtr = cuda.CopyHostToDevice(reduceVal);
idxRedPtr = cuda.CopyHostToDevice(reduceIdx);
constCPtr = cuda.GetModuleGlobal(cuModule, "C");
float[] cData = new float[] { C };
cuda.CopyHostToDevice(constCPtr, cData);
SetCudaParams();
}
private void SetCudaData()
{
CudaHelpers.GetNumThreadsAndBlocks(problemSize, maxReductionBlocks, threadsPerBlock, ref reductionThreads, ref reductionBlocks);
alphaPtr = cuda.CopyHostToDevice(alpha);
gradPtr = cuda.CopyHostToDevice(G);
yPtr = cuda.CopyHostToDevice(y);
//kernel columns i,j is simpler to copy array of zeros
uint memSize = (uint)(sizeof(float) * problemSize * 2);
kiPtr = cuda.Allocate(memSize);
kjPtr = kiPtr + sizeof(float) * problemSize;
//todo:remove it
int redSize = reductionThreads; //reductionBlocks
reduceVal = new float[redSize * 2];
reduceIdx = new int[redSize * 2];
valRedPtr = cuda.CopyHostToDevice(reduceVal);
idxRedPtr = cuda.CopyHostToDevice(reduceIdx);
constCPtr = cuda.GetModuleGlobal(cuModule, "C");
float[] cData = new float[] { C };
cuda.CopyHostToDevice(constCPtr, cData);
constBPtr = cuda.GetModuleGlobal(cuModule, "B");
B = new float[] { 0, 0, C };
cuda.CopyHostToDevice(constBPtr, B);
constAPtr = cuda.GetModuleGlobal(cuModule, "A");
A = new float[] { -C, 0, 0 };
cuda.CopyHostToDevice(constAPtr, A);
SetCudaParams();
}
