public void Initialize(Context context, AcceleratorId acceleratorId, double[,] independents, double[] dependants)
{
AcceleratorId = acceleratorId;
AcceleratorType acceleratorType = AcceleratorId.AcceleratorType;
if (acceleratorType == AcceleratorType.CPU)
{
Accelerator = Accelerator.Create(context, AcceleratorId);
}
else if (acceleratorType == AcceleratorType.OpenCL)
{
Accelerator = CLAccelerator.Create(context, AcceleratorId);
}
else if (acceleratorType == AcceleratorType.Cuda)
{
Accelerator = CudaAccelerator.Create(context, AcceleratorId);
}
EvaluationKernel = Accelerator.LoadAutoGroupedStreamKernel <Index2, ArrayView2D <double>, ArrayView <double>, ArrayView <NodeGPU>, ArrayView <int>, ArrayView2D <double> >(EvaluationKernelFunction);
ProcessResultsKernel = Accelerator.LoadAutoGroupedStreamKernel <Index1, ArrayView2D <double>, ArrayView <double> >(ProcessResultsKernelFunction);
IndependentsTableSize = new Index2(independents.GetUpperBound(0) + 1, independents.GetUpperBound(1) + 1);
Independents = Accelerator.Allocate <double>(IndependentsTableSize);
Independents.CopyFrom(independents, new Index2(), new Index2(), IndependentsTableSize);
Dependants = Accelerator.Allocate <double>(dependants.Length);
Dependants.CopyFrom(dependants, 0, 0, dependants.Length);
}
