public SpecialPointCollector(int wordsPerNumber, Pollard_Rho pRho, OpenCLBuffer <uint> gpuSpecialPointsBuffer, StartingPointGenerator startingPointGenerator)
{
this.wordsPerNumber = wordsPerNumber;
this.pRho = pRho;
this.gpuSpecialPointsBuffer = gpuSpecialPointsBuffer;
this.startingPointGenerator = startingPointGenerator;
}
public DLPSolver(InputTuple input)
{
modulus = input.Modulus;
if (modulus % 2 == 0)
{
throw new NotImplementedException("At the moment, it is not possible to use an even number for a modulus.");
}
generator = input.Generator;
order = input.Order;
element = input.Element;
wordsPerNumber = modulus.ToUintArray().Length;
rAsPower = 32 * wordsPerNumber;
Pollard_Rho pRho = new Pollard_Rho(input, rAsPower);
// Initialize the startingPointGenerator.
gpuStartingPointsBuffer = new OpenCLBuffer <uint>(program, new uint[4 * NUM_GPU_THREADS * wordsPerNumber]);
startingPointGenerator = new StartingPointGenerator(input, rAsPower, wordsPerNumber, pRho, program, gpuStartingPointsBuffer);
// Initialize the specialPointCollector.
gpuSpecialPointsBuffer = new OpenCLBuffer <uint>(program, new uint[2 * wordsPerNumber * 4 * NUM_GPU_THREADS]);
specialPointCollector = new SpecialPointCollector(wordsPerNumber, pRho, gpuSpecialPointsBuffer, startingPointGenerator);
}
public StartingPointGenerator(InputTuple input, int rAsPower, int wordsPerNumber, Pollard_Rho pRho, OpenCLProgram program, OpenCLBuffer <uint> startingPointsBuffer)
{
this.modulus = input.Modulus;
this.generator = input.Generator;
this.order = input.Order;
this.element = input.Element;
this.rAsPower = rAsPower;
this.wordsPerNumber = wordsPerNumber;
this.pRho = pRho;
this.kernel = new OpenCLKernel(program, "add_new_starting_points");
this.newStartingPointsBuffer = new OpenCLBuffer <uint>(program, new uint[4 * DLPSolver.NUM_GPU_THREADS * wordsPerNumber]);
this.startingPointPool = new uint[4 * DLPSolver.NUM_GPU_THREADS * wordsPerNumber];
kernel.SetArgument(0, startingPointsBuffer);
kernel.SetArgument(1, newStartingPointsBuffer);
}
