Created
June 2, 2016 20:58
-
-
Save isabek/6260f38425a90ec5c6314dc02f3f08f0 to your computer and use it in GitHub Desktop.
Parallel Matrix Multiplication on Open MPI.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#include <stdio.h> | |
#include <mpi.h> | |
#include <algorithm> | |
#include <ctime> | |
#define GRN "\x1B[32m" | |
#define RESET "\x1B[0m" | |
#define CYN "\x1B[36m" | |
#define MASTER_RANK 0 | |
#define MASTER_TAG 1 | |
#define WORKER_TAG 2 | |
#define M_SIZE 10 | |
#define MICRO 1000000 | |
#define NOT_ENOUGH_PROCESSES_NUM_ERROR 1 | |
MPI_Status status; | |
int a[M_SIZE][M_SIZE]; | |
int b[M_SIZE][M_SIZE]; | |
int c[M_SIZE][M_SIZE]; | |
int GenerateRandomNumber(){ | |
return std::rand() % 9 + 1; | |
} | |
template<int rows, int cols> | |
void FillMatrix(int (&matrix)[rows][cols]){ | |
for(int i = 0; i < cols; i ++){ | |
for(int j = 0; j < rows; j ++){ | |
matrix[i][j] = GenerateRandomNumber(); | |
} | |
} | |
} | |
template<int rows, int cols> | |
void PrintMatrix(int (&matrix)[rows][cols]){ | |
printf("\n"); | |
for(int i = 0; i < rows; i ++){ | |
for(int j = 0; j < cols; j ++){ | |
printf("%d ", matrix[i][j]); | |
} | |
printf("\n"); | |
} | |
} | |
int main(int argc, char *argv[]) | |
{ | |
int communicator_size; | |
int process_rank; | |
int process_id; | |
int offset; | |
int rows_num; | |
int workers_num; | |
int remainder; | |
int whole_part; | |
int message_tag; | |
int i; | |
int j; | |
int k; | |
MPI_Init(&argc, &argv); | |
MPI_Comm_size(MPI_COMM_WORLD, &communicator_size); | |
MPI_Comm_rank(MPI_COMM_WORLD, &process_rank); | |
if(communicator_size < 2){ | |
MPI_Abort(MPI_COMM_WORLD, NOT_ENOUGH_PROCESSES_NUM_ERROR); | |
} | |
if(process_rank == MASTER_RANK){ | |
printf("%sGenerating matrixes%s\n", CYN, RESET); | |
printf("\n%sGenerating matrix %sA%s with size %s%dx%d",CYN, GRN, CYN, RESET, M_SIZE, M_SIZE); | |
FillMatrix(a); | |
PrintMatrix(a); | |
printf("\n%sGenerating matrix %sB%s with size %s%dx%d",CYN, GRN, CYN, RESET, M_SIZE, M_SIZE); | |
FillMatrix(b); | |
PrintMatrix(b); | |
printf("\nStarting multiplication ... \n"); | |
long long int start = clock(); | |
workers_num = communicator_size - 1; | |
whole_part = M_SIZE / workers_num; | |
remainder = M_SIZE % workers_num; | |
offset = 0; | |
message_tag = MASTER_TAG; | |
for(process_id = 1; process_id <= workers_num; process_id ++ ){ | |
rows_num = process_id <= remainder ? whole_part + 1 : whole_part; | |
MPI_Send(&offset, 1, MPI_INT, process_id, message_tag, MPI_COMM_WORLD); | |
MPI_Send(&rows_num, 1, MPI_INT, process_id, message_tag, MPI_COMM_WORLD); | |
MPI_Send(&a[offset][0], rows_num * M_SIZE, MPI_INT, process_id, message_tag, MPI_COMM_WORLD); | |
MPI_Send(&b, M_SIZE * M_SIZE, MPI_INT, process_id, message_tag, MPI_COMM_WORLD); | |
offset += rows_num; | |
} | |
message_tag = WORKER_TAG; | |
for(process_id = 1; process_id <= workers_num; process_id ++){ | |
MPI_Recv(&offset, 1, MPI_INT, process_id, message_tag, MPI_COMM_WORLD, &status); | |
MPI_Recv(&rows_num, 1, MPI_INT, process_id, message_tag, MPI_COMM_WORLD, &status); | |
MPI_Recv(&c[offset][0], rows_num * M_SIZE, MPI_INT, process_id, message_tag, MPI_COMM_WORLD, &status); | |
} | |
printf("\n%sResult %sA*B%s", CYN, GRN, RESET); | |
PrintMatrix(c); | |
long long int end = clock(); | |
double diff = (double)((end - start) / (1.0 * MICRO)); | |
printf("\n%dx%d - %f seconds\n", M_SIZE, M_SIZE, diff); | |
} | |
if(process_rank != MASTER_RANK){ | |
message_tag = MASTER_TAG; | |
MPI_Recv(&offset, 1, MPI_INT, MASTER_RANK, message_tag, MPI_COMM_WORLD, &status); | |
MPI_Recv(&rows_num, 1, MPI_INT, MASTER_RANK, message_tag, MPI_COMM_WORLD, &status); | |
MPI_Recv(&a, rows_num * M_SIZE, MPI_INT, MASTER_RANK, message_tag, MPI_COMM_WORLD, &status); | |
MPI_Recv(&b, M_SIZE * M_SIZE, MPI_INT, MASTER_RANK, message_tag, MPI_COMM_WORLD, &status); | |
for(k = 0; k < M_SIZE; k ++){ | |
for(i = 0; i < rows_num; i ++){ | |
c[i][k] = 0; | |
for(j = 0; j < M_SIZE; j ++){ | |
c[i][k] += a[i][j] * b[j][k]; | |
} | |
} | |
} | |
message_tag = WORKER_TAG; | |
MPI_Send(&offset, 1, MPI_INT, MASTER_RANK, message_tag, MPI_COMM_WORLD); | |
MPI_Send(&rows_num, 1, MPI_INT, MASTER_RANK, message_tag, MPI_COMM_WORLD); | |
MPI_Send(&c, rows_num * M_SIZE, MPI_INT, MASTER_RANK, message_tag, MPI_COMM_WORLD); | |
} | |
MPI_Finalize(); | |
return 0; | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
hmmm.. I'll continue searching. your program works flawlessly, and has given me some good insight into how to use MPI.
Thanks!