public ComputationResult[] Compute(Problem[] problemsToSolve, int degreeOfParallelism, float cpuPart)
{
IEnumerable <ComputationResult> cpuResults = null;
int cpuProblems = (int)Math.Floor(problemsToSolve.Count() * cpuPart);
var gpu = new SlimGPUQueue();
var gpuResults = gpu.Compute(
problemsToSolve.Skip(cpuProblems).Take(problemsToSolve.Count() - cpuProblems).ToArray(),
gpu.GetBestParallelism(),
() =>
{
var cpu = new SlimCPU();
cpuResults = cpu
.Compute(problemsToSolve
.Take(cpuProblems).ToArray(),
cpu.GetBestParallelism());
});
return(cpuResults.Concat(gpuResults).ToArray());
}
public int Compute(Problem[] problemsToSolve, int problemsReadingIndex, ComputationResult[] computationResults, int resultsWritingIndex, int problemCount, int degreeOfParallelism)
{
int cpuProblems = (int)Math.Round(problemsToSolve.Length * cpuPart);
var CernyConjectureFailingIndex = -1;
var thread = new Thread(() =>
{
var result = new SlimCPU4bits13().Compute(problemsToSolve, 0, computationResults, 0, cpuProblems, Environment.ProcessorCount);
if (result >= 0)
{
Interlocked.CompareExchange(ref CernyConjectureFailingIndex, result, -1);
}
})
{
IsBackground = false
};
thread.Start();
IComputable gpu = new SlimGPUQueue();
var gpuResult = gpu.Compute(problemsToSolve, cpuProblems, computationResults, cpuProblems, problemCount - cpuProblems, gpu.GetBestParallelism());
if (gpuResult >= 0)
{
thread.Abort();
return(gpuResult);
}
else
{
thread.Join();
return(CernyConjectureFailingIndex);
}
}