MPI sorter with buffers, missing SnowPlow technique

MPI_basic/Reduce/Average.cpp

@@ -0,0 +1,48 @@
+#include <mpi.h>
+#include <iostream>
+
+/*
+MPI_Reduce(
+    void* send_data,        //the element to apply the reduce
+    void* recv_data,        //the reduce result
+    int count,              //size of result in recv_data is sizeof(datatype)*count
+    MPI_Datatype datatype,  //type of element
+    MPI_Op op,              //operation to apply. Can also be defined custom operation
+    int root,               //rank of the process that receive result
+    MPI_Comm comm           //communicator
+    )
+*/
+int main(int argc, char* argv[])
+{
+    MPI_Init(&argc, &argv);   //Initialize the MPI environment //TODO perche qui non (NULL, NULL) ??
+
+    int world_size;
+    MPI_Comm_size(MPI_COMM_WORLD, &world_size);    //Get the number of processes
+
+    int world_rank;
+    MPI_Comm_rank(MPI_COMM_WORLD, &world_rank);    //Get the number of process
+
+    float rand_nums[4] = {1,2,3,42};
+    int size = 4;                                   //Related to the correct dize of rand_nums array
+
+    float local_sum = 0;
+
+    for(int i=0; i<size; i++)       //each process compute the sum locally 
+        local_sum += rand_nums[i];
+
+    std::cout << "Process (rank " << world_rank+1 << "/" << world_size << ") sum is " << local_sum << " avg is " << local_sum/size << std::endl;
+
+    if(world_rank%2 == 0)       //explicative example part
+        local_sum = 1;
+
+    float global_sum;
+    //MPI_Reduce(send_data, recv_data, count, datatype, op, root, comm)
+    MPI_Reduce(&local_sum, &global_sum, 1, MPI_FLOAT, MPI_SUM, 2, MPI_COMM_WORLD);
+    /*Il processo root(suppongo), esegue l'operazione specificata su ogni elemento send_data che gli altri processi hanno riempito*/
+
+    if(world_rank == 2)
+        std::cout << " USING REDUCE:" << std::endl << "Process (rank " << world_rank+1 << "/" << world_size << ") sum is " << global_sum << " avg of averages is " << global_sum/(world_size*size) << std::endl;
+
+    MPI_Finalize(); //Clean up the MPI environment
+    return 0;
+}