Database System Concepts
Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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The MPI program 'Standard-Deviation.c' computes the standard deviation for an array of elements.Here, we assume that the maximum number of elements in the array is 10. Some necessary error checkings are performed to ensure that the number of inputs is correct and their values are valid

  (a) mpiexec -n 2 ./Stddev   (b) mpiexec -n 2 ./Stddev 0   (c) mpiexec -n 3 ./Stddev    

                   (d) mpiexec -n 3 ./Stddev         (e) mpiexec -n 4 ./Stddev 21

 

Standard-Deviation.c. This code is giving me an error when I compile

///////////////////////////////////////////////////////////////////////////////////////
//
// This is an MPI program that computes the standard deviation for an array of elements.
//
// Note: The array is generated according to its size (the number of elements), which 
//       is specified by users from the command line. In the program, we assume its 
//       maximum number is 10.
//
// Compile:  mpicc Standard-Deviation.c -o  Stddev -lm
// 
// Run:      mpiexec -n  <p>  ./Stddev  <N>
//
//           -p: the number of processes
//           -N: the number of elements 
//
///////////////////////////////////////////////////////////////////////////////////////


#include <stdio.h> 
#include <stdlib.h> 
#include <time.h>
#include <math.h> 
#include <mpi.h>


  
int *Random_Num_Generator(int Num_Elements);

int Compute_Sum(int *array, int num_elements);

int main(int argc, char** argv) 

   int comm_sz, my_rank;
int i, Product;

double local_start, local_finish, local_elapsed, elapsed;

   //Seed the random number generator to get different results each time 
   srand(time(NULL)); 

MPI_Init(&argc, &argv);

MPI_Comm_rank(MPI_COMM_WORLD, &my_rank);   
MPI_Comm_size(MPI_COMM_WORLD, &comm_sz);


if (argc != 2)
{
 if (my_rank == 0)

  fprintf(stderr, "USAGE: mpiexec -n <num_of_processes> Stddev <num_elements>\n");

 MPI_Finalize();

 return 0;
}

int Num_Elements = atoi(argv[1]);

if (Num_Elements < 1 || Num_Elements > 10)
{
 if (my_rank == 0)

  fprintf(stderr, "Error: The size of the vector should be an integer in the range between 1 and 10!\n");

 MPI_Finalize();

 return 0;
}

if (Num_Elements % comm_sz != 0)   
{
 if (my_rank == 0)

  fprintf(stderr, "Error: The size of the vector should be evenly divisible by the number of Processes!\n");

 MPI_Finalize();

 return 0;
}int *Random_Nums = NULL;

if (my_rank == 0)
{
 Random_Nums = Random_Num_Generator(Num_Elements);

 printf("\nThe random numbers generated: \n");

 for (i = 0; i < Num_Elements; i++)

   printf("%d ", Random_Nums[i]);

 printf("\n");
}


int Num_Per_Proc = Num_Elements / comm_sz;

int *Sub_Random_Nums = (int *)malloc(sizeof(int) * Num_Per_Proc);

 
MPI_Scatter(Random_Nums, Num_Per_Proc, MPI_INT, Sub_Random_Nums, Num_Per_Proc, MPI_INT, 0, MPI_COMM_WORLD);

 

MPI_Barrier(MPI_COMM_WORLD);

local_start = MPI_Wtime();

   // Compute the sum of the subset array on each process
int Sub_Sum = Compute_Sum(Sub_Random_Nums, Num_Per_Proc);

// Compute the sum of the entire array and distribute it to each process
int Total_Sum;

MPI_Allreduce(&Sub_Sum, &Total_Sum, 1, MPI_INT, MPI_SUM, MPI_COMM_WORLD);

// Compute the average of the entire array on each process
float Average = (float) Total_Sum / Num_Elements;

// Compute the partial sum of the squared differences from the average on each process
float Sub_Square_diff = 0;

for (i = 0; i < Num_Per_Proc; i++)

 Sub_Square_diff += (Sub_Random_Nums[i] - Average) * (Sub_Random_Nums[i] - Average);

// Reduce the total sum of the squared differences to the process 0 (root process)
float Total_Square_diff;

MPI_Reduce(&Sub_Square_diff, &Total_Square_diff, 1, MPI_FLOAT, MPI_SUM, 0, MPI_COMM_WORLD);

// Compute the standard deviation 
if (my_rank == 0) 
{
 // The standard deviation is the square root of the averaged total sum of squared differences
 float Standard_Deviation = sqrt(Total_Square_diff / Num_Elements);

 printf("Standard deviation = %f\n", Standard_Deviation);
}


local_finish = MPI_Wtime();
local_elapsed = local_finish - local_start;

MPI_Reduce(&local_elapsed, &elapsed, 1, MPI_DOUBLE, MPI_MAX, 0, MPI_COMM_WORLD);

if (my_rank == 0)

 printf("Elapsed time =  %e seconds\n", elapsed);

///////////////////////////////////////////////////////////////////////////////////////////////////////////////
//
//                                  End point for Code to be timed
//
///////////////////////////////////////////////////////////////////////////////////////////////////////////////


   // Clean up 
if (my_rank == 0) 

  free(Random_Nums);
   
free(Sub_Random_Nums);
   
MPI_Barrier(MPI_COMM_WORLD);
   MPI_Finalize();

return 0;
 }


// Create an array of random integer numbers ranging from 1 to 10 
int *Random_Num_Generator(int Num_Elements)
{
 int *Rand_Nums = (int *)malloc(sizeof(int) * Num_Elements);
 int i;

 for (i = 0; i < Num_Elements; i++)
  Rand_Nums[i] = (rand() % 10) + 1;

 return Rand_Nums;
}

// Computes the sum of an array of numbers 
int Compute_Sum(int *array, int num_elements)
{
 int sum = 0;
 int i;

 for (i = 0; i < num_elements; i++) 
  sum += array[i];

 return sum;
}

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