static void Main(string[] args)
        {
            // Set the integrating function.

            f = NINTLIB.IntegratingFunctions.p33_f;

            // Set the number of dimensions

            int dim_num = 2;
            int number_of_partitions = 10;

            getargs(args, ref dim_num, ref number_of_partitions);
            Console.WriteLine("dim_num = " + dim_num);
            Console.WriteLine("number_of_partitions = " + number_of_partitions);

            // Set the interval

            double[] a = new double[dim_num];
            double[] b = new double[dim_num];
            for (int i = 0; i < dim_num; i++)
            {
                a[i] = 0.0D;
                b[i] = 1.0D;
            }

            int       ind    = 0;
            const int it_max = 2;

            int[]  sub_num = new int[dim_num];
            double tol     = 1e-5D;

            // sub_num(1:dim_num) = 10
            for (int i = 0; i < dim_num; i++)
            {
                sub_num[i] = number_of_partitions;
            }

            // Perform work

            int    eval_num;
            double result;

            DateTime startTime = DateTime.Now;

            result = NINTLIB.NINTLIB.romberg_nd(function, a, b, dim_num, sub_num, it_max, tol, ref ind, out eval_num);
            DateTime stopTime = DateTime.Now;
            TimeSpan time     = stopTime - startTime;

            // Present result

            Console.WriteLine("  ROMBERG_ND:     " + result + "," + eval_num + " in " + time.TotalMilliseconds + " milliseconds !");
        }
Example #2
0
        static void Main(string[] args)
        {
            MPI.Environment mpi;
            mpi = new MPI.Environment(ref args);

            size = Communicator.world.Size - 1; // NUMBER OF WORKERS
            rank = Communicator.world.Rank;

            // Set the integrating function.
            f = NINTLIB.IntegratingFunctions.p33_f;

            // Set the number of dimensions

            getargs(args, ref dim_num, ref dim_partition_size, ref number_of_partitions);
            int num_jobs       = (int)Math.Pow(dim_partition_size, dim_num);
            int num_local_jobs = num_jobs / size;

            if (rank == 0) // MANAGER (the manager only distribute jobs and collect results)
            {
                Console.WriteLine("dim_num = " + dim_num);
                Console.WriteLine("dim_partition_size = " + dim_partition_size);
                Console.WriteLine("number_of_partitions = " + number_of_partitions);
                Console.WriteLine("num_jobs = " + num_jobs);
                Console.WriteLine("num_local_jobs = " + num_local_jobs);

                DateTime startTime = DateTime.Now;

                // Set/Divide the interval
                double[][,] a = new double[size + 1][, ];
                double[][,] b = new double[size + 1][, ];

                a[0] = new double[0, 0];
                b[0] = new double[0, 0];
                for (int r = 1; r < size + 1; r++)
                {
                    a[r] = new double[num_local_jobs, dim_num];
                    b[r] = new double[num_local_jobs, dim_num];
                }

                int[] dims = new int[dim_num];

                for (int job = 0; job < num_jobs; job++)
                {
                    int r = job % size + 1;
                    int j = job / size;
                    for (int i = 0; i < dim_num; i++)
                    {
                        a[r][j, i] = dims[i] * (1.0D / dim_partition_size);
                        b[r][j, i] = (dims[i] + 1) * (1.0D / dim_partition_size);
                    }

                    // NEXT JOB
                    int ii = 0;
                    while (ii < dim_num)
                    {
                        dims[ii] = (dims[ii] + 1) % dim_partition_size;
                        if (dims[ii] == 0)
                        {
                            ii++;
                        }
                        else
                        {
                            break;
                        }
                    }
                }

                // Distribute jobs.

                Communicator.world.Scatter <double[, ]>(a);
                Communicator.world.Scatter <double[, ]>(b);
                // Collect/Combine results

                double   result       = 0.0D;
                double[] dummy_result = new double[num_local_jobs];
                double[] local_result = Communicator.world.Reduce <double>(dummy_result, Operation <double> .Add, 0);
                foreach (double r in local_result)
                {
                    result += r;
                }

                DateTime stopTime = DateTime.Now;
                TimeSpan time     = stopTime - startTime;

                // Present result
                Console.WriteLine("  ROMBERG_ND:     " + result + " in " + time.TotalMilliseconds + " milliseconds !");
            }
            else // WORKER !
            {
                // Receive jobs.

                double[,] a_local = Communicator.world.Scatter <double[, ]>(0);
                double[,] b_local = Communicator.world.Scatter <double[, ]>(0);

                // Perform work.

                sub_num = new int[dim_num];
                for (int i = 0; i < dim_num; i++)
                {
                    sub_num[i] = number_of_partitions / dim_partition_size;
                }

                result = new double[num_local_jobs];
                double[] a;
                double[] b;

                System.Collections.Generic.IList <Thread> work_threads = new System.Collections.Generic.List <Thread>();

                timeW          = TimeSpan.FromSeconds(0);
                eval_num_total = 0;
                for (int j = 0; j < num_local_jobs; j++)
                {
                    a = new double[dim_num];
                    b = new double[dim_num];

                    for (int i = 0; i < dim_num; i++)
                    {
                        a[i] = a_local[j, i];
                        b[i] = b_local[j, i];
                    }

                    DoWork worker = new DoWork(j, a, b);
                    worker.perform();
                    //    Thread workThread =  new Thread(worker.perform);
                    //    work_threads.Add(workThread);
                    //    workThread.Start();
                }

                foreach (Thread wt in work_threads)
                {
                    wt.Join();
                }

                Communicator.world.Reduce <double>(result, Operation <double> .Add, 0);

                Console.WriteLine("ABSOLUTE WORKER TIME = " + timeW.TotalMilliseconds + "ms - eval_num = " + eval_num_total);
            }

            mpi.Dispose();
        }