Send an array over a custom communicator - c

1. Goal
I have to distribute an array, called A_loc, over a custom communicator (that is not MPI_COMM_WORLD). Let's suppose we want to distribute an array over mesh_r communicator:
P0-P1
| |
P2-P3
where - represents mesh_r (mesh_rows) communicator and | represents mesh_c (mesh_columns) communicator, build through build_mesh procedure.
2. Code
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <stdbool.h>
#include <mpi.h>
bool is_divisible(int, int);
void build_mesh(MPI_Comm*, MPI_Comm*, MPI_Comm*, int, int, int, int, int*);
int *fill_matrix(int*, int, int);
void print_matrix(int*, int, int, int, int);
void handle_errors(int, int, int, int);
void distribute(int*, int*, int, int, int, int, int, int, int);
void debug(int*, int*, int, int, int, int, int, int, int);
int main(int argc, char *argv[])
{
int process_rank, world_size;
int mesh_rows, mesh_columns;
int mesh_dimension = 2;
int *process_coordinates;
MPI_Comm mesh, mesh_r, mesh_c;
int process_rank_mesh;
int *A, *A_loc;
int *B, *B_loc;
int m, n, mloc, nloc;
MPI_Init(&argc, &argv);
MPI_Comm_rank(MPI_COMM_WORLD, &process_rank);
MPI_Comm_size(MPI_COMM_WORLD, &world_size);
if (process_rank == 0) {
m = n = world_size * 1; // multiple of world_size = 4
}
MPI_Bcast(&m, 1, MPI_INT, 0, MPI_COMM_WORLD);
MPI_Bcast(&n, 1, MPI_INT, 0, MPI_COMM_WORLD);
A = fill_matrix(A, m, n);
B = fill_matrix(A, m, n);
if (process_rank == 0)
mesh_rows = 2;
if (is_divisible(world_size, mesh_rows))
mesh_columns = world_size / mesh_rows;
else {
mesh_rows = 1;
mesh_columns = world_size / mesh_rows;
}
MPI_Bcast(&mesh_rows, 1, MPI_INT, 0, MPI_COMM_WORLD);
MPI_Bcast(&mesh_columns, 1, MPI_INT, 0, MPI_COMM_WORLD);
process_coordinates = (int*) calloc(mesh_dimension, sizeof(int));
build_mesh(&mesh, &mesh_r, &mesh_c, process_rank, world_size, mesh_rows, mesh_columns, process_coordinates);
MPI_Comm_rank(mesh, &process_rank_mesh);
mloc = m / mesh_rows;
nloc = m / mesh_columns;
handle_errors(m, n, world_size, process_rank);
A_loc = (int*) calloc(mloc * nloc, sizeof(int));
distribute(A, A_loc, m, n, mloc, nloc, world_size, mesh_rows, mesh_columns);
B_loc = (int*) calloc(mloc * nloc, sizeof(int));
distribute(B, B_loc, m, n, mloc, nloc, world_size, mesh_rows, mesh_columns);
// I want to re-write this part so I can exploit mesh_r communicator instead of MPI_COMM_WORLD...
int *A_loc_add = (int*) calloc(mloc * nloc, sizeof(int));
if (process_rank == 0) {
MPI_Send(A_loc, mloc * nloc, MPI_INT, 1, 10, MPI_COMM_WORLD);
} else if (process_rank == 3) {
MPI_Send(A_loc, mloc * nloc, MPI_INT, 2, 20, MPI_COMM_WORLD);
}
MPI_Status status;
if (process_rank == 1) {
MPI_Recv(A_loc_add, mloc * nloc, MPI_INT, 0, 10, MPI_COMM_WORLD, &status);
} else if (process_rank == 2) {
MPI_Recv(A_loc_add, mloc * nloc, MPI_INT, 3, 20, MPI_COMM_WORLD, &status);
}
MPI_Finalize();
return 0;
}
void distribute(int *Mat, int *Mat_loc, int m, int n, int mloc, int nloc, int world_size, int mesh_rows, int mesh_columns)
{
MPI_Datatype square_block;
int stride = n;
int count = mloc;
int block_length = nloc;
MPI_Type_vector(count, block_length, stride, MPI_INT, &square_block);
MPI_Datatype square_block_resized;
MPI_Type_create_resized(square_block, 0, sizeof(int), &square_block_resized);
MPI_Type_commit(&square_block_resized);
int *send_counts = (int*) calloc(world_size, sizeof(int));
int *displs = (int*) calloc(world_size, sizeof(int));
for (int i = 0; i < mesh_rows; i++) {
for (int j = 0; j < mesh_columns; j++) {
send_counts[i * mesh_columns + j] = 1;
displs[i * mesh_columns + j] = i * n * block_length + j * block_length;
}
}
MPI_Scatterv(Mat, send_counts, displs, square_block_resized, Mat_loc, mloc * nloc, MPI_INT, 0, MPI_COMM_WORLD);
}
bool is_divisible(int dividend, int divisor)
{
return dividend % divisor == 0;
}
void build_mesh(MPI_Comm *mesh, MPI_Comm *mesh_r, MPI_Comm *mesh_c, int process_rank, int world_size,
int mesh_rows, int mesh_columns, int *process_coordinates)
{
int mesh_dimension = 2;
int *mesh_n_dimension;
int mesh_reorder = 0;
int *mesh_period;
int *remain_dims = (int*) calloc(mesh_dimension, sizeof(int));
mesh_n_dimension = (int*) calloc(mesh_dimension, sizeof(int));
mesh_n_dimension[0] = mesh_rows;
mesh_n_dimension[1] = mesh_columns;
mesh_period = (int*) calloc(mesh_dimension, sizeof(int));
mesh_period[0] = mesh_period[1] = 0;
MPI_Cart_create(MPI_COMM_WORLD, mesh_dimension, mesh_n_dimension, mesh_period, mesh_reorder, mesh);
MPI_Cart_coords(*mesh, process_rank, mesh_dimension, process_coordinates);
remain_dims[0] = 0;
remain_dims[1] = 1;
MPI_Cart_sub(*mesh, remain_dims, mesh_r);
remain_dims[0] = 1;
remain_dims[1] = 0;
MPI_Cart_sub(*mesh, remain_dims, mesh_c);
}
int *fill_matrix(int *Mat, int m, int n)
{
int k = 0;
Mat = (int*) calloc(m * n, sizeof(int));
for (int i = 0; i < m; i++)
for (int j = 0; j < n; j++)
Mat[i * n + j] = ++k;
return Mat;
}
As you can see this works fine but I wish I could re-write that commented part so I can exploit mesh_r communicator and distribute A_loc over every processors on mesh_r, instead of the hard-coded send with dest = 1 and dest = 2 over MPI_COMM_WORLD.
Any help?

Instead of sends and receives, you should use a Bcast as you did in an earlier version of your code. Your problem is that you're not thinking in a distributed manner, but you try to keep a global view. By that I mean that after you create the sub-communicator mesh_r, every process seems to be in that communicator, but and here it comes: there are multiple mesh_r communicators, and each process is part of exactly one. Each MPI process sees exactly the one mesh_r communicator that it is part of. Thus a single code line MPI_Bcast( ...buffer stuff...., mesh_r ) does multiple broadcasts, one in each grid row.

Related

MPI_Send with type created through MPI_Type_create_darray

I have the following code
MPI_Init(NULL, NULL);
int world_size;
MPI_Comm_size(MPI_COMM_WORLD, &world_size);
int rank;
MPI_Comm_rank(MPI_COMM_WORLD, &rank);
int n_chunks = 16;
assert(n % n_chunks == 0);
int chunk_size = n / n_chunks;
int psizes[2] = {0, 0};
MPI_Dims_create(world_size, 2, psizes);
MPI_Datatype *dist_types = (MPI_Datatype *) malloc(world_size * sizeof(MPI_Datatype));
for (int i = 0; i < world_size; i++) {
int sizes[2] = {n, n};
int distribs[2] = {MPI_DISTRIBUTE_CYCLIC, MPI_DISTRIBUTE_CYCLIC};
int dargs[2] = {chunk_size, chunk_size};
MPI_Type_create_darray(world_size, i, 2,
sizes, distribs, dargs, psizes,
MPI_ORDER_C, MPI_DOUBLE, &dist_types[i]);
MPI_Type_commit(&dist_types[i]);
}
MPI_Request *send_requests;
if (rank == 0) {
send_requests = (MPI_Request *) malloc(world_size * sizeof(MPI_Request));
for (int i = 0; i < world_size; i++) {
MPI_Isend(&A[0][0], 1, dist_types[i],
i, 0, MPI_COMM_WORLD, &send_requests[i]);
}
}
int dist_size;
MPI_Type_size(dist_types[rank], &dist_size);
dist_size /= sizeof(double);
double *D = (double *) malloc(dist_size * sizeof(double));
MPI_Request recv_request;
MPI_Irecv(D, dist_size, MPI_DOUBLE,
0, 0, MPI_COMM_WORLD, &recv_request);
MPI_Wait(&recv_request, MPI_STATUS_IGNORE);
if (rank == 0) {
MPI_Waitall(1, send_requests, MPI_STATUSES_IGNORE);
}
int m = n / psizes[0];
if (rank == 0) {
for (int i = 0; i < m; i++) {
for (int j = 0; j < m; j++) {
printf("%.2lf ", D[i * m + j]);
}
printf("\n");
}
When I print out the matrix D, I don't get a block cyclic view of A as I'd expect. Rather, the entries are all jumbled up and apart from the top row they look quite random.
Hence, my question is, can I generally expect this to work or are you not really supposed to use MPI_Type_create_darray in this situation. I'm wondering because from what I could find online, people only mention the function in the context of MPI-IO and I couldn't locate a single example of it being used in a way similar to what I have.
I'm an MPI novice, so maybe I'm just doing something wrong that's unrelated to the type I'm using. Also, I did read that it's not really ideal to distribute your matrix this way and rather use MPI-IO, but I can't really change that.

Debugging my matrix multiplication algorithm in MPI

1. Goal
I am implementing matrix multiplication by Fox method for square mxn matrices AB = C and world_size = 4 processors disposed as a topological mesh/grid:
P0-P1
| |
P2-P3
where - represents mesh_r (mesh_rows) communicator and | represents mesh_c (mesh_columns) communicator, build through build_mesh procedure.
2. My code
int main(int argc, char *argv[])
{
int process_rank, world_size;
int mesh_rows, mesh_columns;
int mesh_dimension = 2;
int *process_coordinates;
MPI_Comm mesh, mesh_r, mesh_c;
int process_rank_mesh;
int *A, *A_loc;
int *B, *B_loc;
int *C, *C_loc;
int m, n, mloc, nloc;
MPI_Init(&argc, &argv);
MPI_Comm_rank(MPI_COMM_WORLD, &process_rank);
MPI_Comm_size(MPI_COMM_WORLD, &world_size);
if (process_rank == 0) {
m = n = /*world_size * 1*/ 2; // multiple of world_size = 4
}
MPI_Bcast(&m, 1, MPI_INT, 0, MPI_COMM_WORLD);
MPI_Bcast(&n, 1, MPI_INT, 0, MPI_COMM_WORLD);
A = fill_matrix(A, m, n);
B = fill_matrix(A, m, n);
C = (int*) calloc(m * n, sizeof(int));
if (process_rank == 0)
mesh_rows = 2;
if (is_divisible(world_size, mesh_rows))
mesh_columns = world_size / mesh_rows;
else {
mesh_rows = 1;
mesh_columns = world_size / mesh_rows;
}
MPI_Bcast(&mesh_rows, 1, MPI_INT, 0, MPI_COMM_WORLD);
MPI_Bcast(&mesh_columns, 1, MPI_INT, 0, MPI_COMM_WORLD);
process_coordinates = (int*) calloc(mesh_dimension, sizeof(int));
build_mesh(&mesh, &mesh_r, &mesh_c, process_rank, world_size, mesh_rows, mesh_columns, process_coordinates);
MPI_Comm_rank(mesh, &process_rank_mesh);
mloc = m / mesh_rows;
nloc = m / mesh_columns;
handle_errors(m, n, world_size, process_rank);
A_loc = (int*) calloc(mloc * nloc, sizeof(int));
distribute(A, A_loc, m, n, mloc, nloc, world_size, mesh_rows, mesh_columns);
B_loc = (int*) calloc(mloc * nloc, sizeof(int));
distribute(B, B_loc, m, n, mloc, nloc, world_size, mesh_rows, mesh_columns);
C_loc = (int*) calloc(mloc * nloc, sizeof(int));
distribute(C, C_loc, m, n, mloc, nloc, world_size, mesh_rows, mesh_columns);
int *A_loc_add = (int*) calloc(mloc * nloc, sizeof(int)); // blocco di A addizionale inviato dai processori sulla diagonale a quelli su mesh_r
// START BMR
memcpy(A_loc_add, A_loc, sizeof(A_loc) * mloc);
MPI_Bcast(A_loc_add, mloc * nloc, MPI_INT, f(process_rank), mesh_r);
// Compute Cij = AB for each process
for (int i = 0; i < m; i++) {
if (process_rank == 0 || process_rank == 3)
C_loc[i] += A_loc[i] * B_loc[i];
else
C_loc[i] += A_loc_add[i] * B_loc[i];
}
for (int i = 1; i < m; i++) {
// Broadcast
memcpy(A_loc_add, A_loc, sizeof(A_loc) * mloc);
MPI_Bcast(A_loc_add, mloc * nloc, MPI_INT, !f(process_rank), mesh_r);
// Rolling
int *t_loc = (int*) calloc(mloc * nloc, sizeof(int)); // variabile temporanea necessaria per lo scambio
memcpy(t_loc, B_loc, sizeof(B_loc) * mloc);
MPI_Status status;
int mate; // P0 <-> P2 e P1 <-> P3 - that is B_loc swap in mesh_c communicator
if (process_rank == 0) {
mate = 2;
MPI_Send(t_loc, mloc * nloc, MPI_INT, mate, 0, MPI_COMM_WORLD);
MPI_Recv(t_loc, mloc * nloc, MPI_INT, mate, 0, MPI_COMM_WORLD, &status);
} else if (process_rank == 1) {
mate = 3;
MPI_Send(t_loc, mloc * nloc, MPI_INT, mate, 0, MPI_COMM_WORLD);
MPI_Recv(t_loc, mloc * nloc, MPI_INT, mate, 0, MPI_COMM_WORLD, &status);
} else if (process_rank == 2) {
mate = 0;
MPI_Send(t_loc, mloc * nloc, MPI_INT, mate, 0, MPI_COMM_WORLD);
MPI_Recv(t_loc, mloc * nloc, MPI_INT, mate, 0, MPI_COMM_WORLD, &status);
} else if (process_rank == 3) {
mate = 1;
MPI_Send(t_loc, mloc * nloc, MPI_INT, mate, 0, MPI_COMM_WORLD);
MPI_Recv(t_loc, mloc * nloc, MPI_INT, mate, 0, MPI_COMM_WORLD, &status);
}
memcpy(B_loc, t_loc, sizeof(t_loc) * mloc);
free(t_loc);
// multiply
dot_product(A_loc_add, C_loc, B_loc, m);
}
// END BMR
MPI_Finalize();
return 0;
}
void dot_product(int *A_loc_add, int *C_loc, int *B_loc, int m)
{
for (int i = 0; i < m; i++)
C_loc[i] += A_loc_add[i] * B_loc[i];
}
int f(int process_rank)
{
if (process_rank == 0 || process_rank == 1)
return 0;
else
return 1;
}
void distribute(int *Mat, int *Mat_loc, int m, int n, int mloc, int nloc, int world_size, int mesh_rows, int mesh_columns)
{
MPI_Datatype square_block;
int stride = n;
int count = mloc;
int block_length = nloc;
MPI_Type_vector(count, block_length, stride, MPI_INT, &square_block);
MPI_Datatype square_block_resized;
MPI_Type_create_resized(square_block, 0, sizeof(int), &square_block_resized);
MPI_Type_commit(&square_block_resized);
int *send_counts = (int*) calloc(world_size, sizeof(int));
int *displs = (int*) calloc(world_size, sizeof(int));
for (int i = 0; i < mesh_rows; i++) {
for (int j = 0; j < mesh_columns; j++) {
send_counts[i * mesh_columns + j] = 1;
displs[i * mesh_columns + j] = i * n * block_length + j * block_length;
}
}
MPI_Scatterv(Mat, send_counts, displs, square_block_resized, Mat_loc, mloc * nloc, MPI_INT, 0, MPI_COMM_WORLD);
}
void handle_errors(int m, int n, int world_size, int process_rank)
{
if (process_rank == 0) {
if (m != n) {
perror("Not square matrices\n");
MPI_Abort(MPI_COMM_WORLD, EXIT_FAILURE);
}
if (world_size != 4) {
perror("World size must be 4\n");
MPI_Abort(MPI_COMM_WORLD, EXIT_FAILURE);
}
}
}
bool is_divisible(int dividend, int divisor)
{
return dividend % divisor == 0;
}
void build_mesh(MPI_Comm *mesh, MPI_Comm *mesh_r, MPI_Comm *mesh_c, int process_rank, int world_size,
int mesh_rows, int mesh_columns, int *process_coordinates)
{
int mesh_dimension = 2;
int *mesh_n_dimension;
int mesh_reorder = 0;
int *mesh_period;
int *remain_dims = (int*) calloc(mesh_dimension, sizeof(int));
mesh_n_dimension = (int*) calloc(mesh_dimension, sizeof(int));
mesh_n_dimension[0] = mesh_rows;
mesh_n_dimension[1] = mesh_columns;
mesh_period = (int*) calloc(mesh_dimension, sizeof(int));
mesh_period[0] = mesh_period[1] = 0;
MPI_Cart_create(MPI_COMM_WORLD, mesh_dimension, mesh_n_dimension, mesh_period, mesh_reorder, mesh);
MPI_Cart_coords(*mesh, process_rank, mesh_dimension, process_coordinates);
remain_dims[0] = 0;
remain_dims[1] = 1;
MPI_Cart_sub(*mesh, remain_dims, mesh_r);
remain_dims[0] = 1;
remain_dims[1] = 0;
MPI_Cart_sub(*mesh, remain_dims, mesh_c);
}
int *fill_matrix(int *Mat, int m, int n)
{
int k = 0;
Mat = (int*) calloc(m * n, sizeof(int));
for (int i = 0; i < m; i++)
for (int j = 0; j < n; j++)
Mat[i * n + j] = ++k;
return Mat;
}
3. Result
My algorithm is working fine if m = 2:
C00:
7
C01:
10
C10:
15
C11:
22
as you can see here
but makes mistakes when calculating C for other values of m (e.g. world_size * 1):
C00:
58 92
242 308
C01:
78 120
294 368
C10:
198 260
494 588
C11:
274 344
602 704
whose expected result C is:
Can you help me? You can use this online matrices multiplication tool for debugging and calculate expected result. I am 100% sure that build_mesh and distribute procedures are correct: the bug must be in BMR section

Cannon algorithm using MPI

I want to implement the Cannon Algorithm using MPI in C using cartesian communicators which are shifted using the default functions and by sending 2-dimensional blocks from the 2 matrices.
I have tried to follow a couple of tutorials found online, but I realized none were implemented the way I wanted them to, using both 2-dimensional blocks and cartesian communicators.
EDIT: I have managed to get over the error after realizing that I was using the proc_grid_size variable in a wrong way, confusing the size of the process matrix with the block size and entering into some unallocated memory area.
I am running with an input of 25 processes and 2 10*10 matrices stored in 2 different files.
I am currently trying to implement the shift operations using the MPI_Cart_Shift function. But I don't know how to send the block over to the neighbors.
This is my current implementation of this specific part, which is not working (the application just hangs):
MPI_Scatterv(globalAptr, sendcounts, displs, subarrtype, &(a[0][0]),
block_size * block_size, MPI_INT,
0, MPI_COMM_WORLD);
MPI_Scatterv(globalBptr, sendcounts, displs, subarrtype, &(b[0][0]),
block_size * block_size, MPI_INT,
0, MPI_COMM_WORLD);
int nlocal;
int npes, dims[2], periods[2];
int myrank, my2drank, mycoords[2];
int uprank, downrank, leftrank, rightrank, coords[2];
int shiftsource, shiftdest;
MPI_Status status;
MPI_Comm comm_2d;
// Get the communicator related information
MPI_Comm_size(MPI_COMM_WORLD, &npes);
MPI_Comm_rank(MPI_COMM_WORLD, &myrank);
// Set up the Cartesian topology
dims[0] = dims[1] = proc_matrix_size;//sqrt(npes);
// Set the periods for wraparound connections
periods[0] = periods[1] = 1;
// Create the Cartesian topology, with rank reordering
MPI_Cart_create(MPI_COMM_WORLD, 2, dims, periods, 1, &comm_2d);
// Get the rank and coordinates with respect to the new topology
MPI_Comm_rank(comm_2d, &my2drank);
MPI_Cart_coords(comm_2d, my2drank, 2, mycoords);
// Compute ranks of the up and left shifts
// Get line neighbors (direction = 1, displacement = 1)
MPI_Cart_shift(comm_2d, 1, 1, &leftrank, &rightrank);
// Get column neighbors (direction = 0, displacement = 1)
MPI_Cart_shift(comm_2d, 0, 1, &uprank, &downrank);
// Determine the dimension of the local matrix block
nlocal = block_size;// n / dims[0];
MPI_Cart_shift(comm_2d, 1, -mycoords[1], &shiftsource, &shiftdest);
MPI_Sendrecv_replace(&(a[0][0]), 1, subarrtype,
shiftdest, 1, shiftsource, 1, comm_2d, &status);
MPI_Cart_shift(comm_2d, 0, -mycoords[0], &shiftsource, &shiftdest);
MPI_Sendrecv_replace(&(b[0][0]), 1, subarrtype,
shiftdest, 1, shiftsource, 1, comm_2d, &status);
After closing the application, I discover that the root process is the only one that hangs:
F:\Facultate\AN_4\PDC\Labs\MPI\Cannon\x64\Release>mpiexec -np 25 Cannon.exe
a.txt b.txt> mpiexec aborting job...
job aborted:
[ranks] message
[0] job terminated by the user
[1-24] terminated
---- error analysis -----
[0] on DESKTOP-JB1815M
ctrl-c was hit. job aborted by the user.
---- error analysis -----
INITIAL SOLVED CODE:
int malloc2D(int ***array, int n, int m) {
int i;
/* allocate the n*m contiguous items */
int *p = (int*) calloc(n*m, sizeof(int));
if (!p) return -1;
/* allocate the row pointers into the memory */
(*array) = (int**) calloc(n, sizeof(int*));
if (!(*array)) {
free(p);
return -1;
}
/* set up the pointers into the contiguous memory */
for (i = 0; i<n; i++)
(*array)[i] = &(p[i*m]);
return 0;
}
int free2D(int ***array) {
/* free the memory - the first element of the array is at the start */
free(&((*array)[0][0]));
/* free the pointers into the memory */
free(*array);
return 0;
}
int main(int argc, char* argv[])
{
MPI_Init(&argc, &argv);
if (argc != 3) {
fprintf(stderr, "Not enough arguments passed! Make sure you pass 2 filenames.\n");
MPI_Abort(MPI_COMM_WORLD, 1);
}
// Find out rank, size
int world_rank;
MPI_Comm_rank(MPI_COMM_WORLD, &world_rank);
int world_size;
MPI_Comm_size(MPI_COMM_WORLD, &world_size);
// Declare file pointers
FILE* fa = NULL;
FILE* fb = NULL;
// Declare matrix pointers
int **A = NULL;
int **B = NULL;
int **C = NULL;
// Declare matrix dimensions
int ma = 0, na = 0;
int mb = 0, nb = 0;
// Nr of processes on each line/column in process mesh
int proc_matrix_size = (int)sqrt(world_size);
// Single value for quadratic matrix size
int n = 0;
// Nr of elements on each line/column in local matrix
// of each process
int block_size = 0;
// Open files and read matrices
if (world_rank == 0)
{
fa = fopen(argv[1], "r");
fb = fopen(argv[2], "r");
// Read matrix dymensions
fscanf(fa, "%d %d\n", &ma, &na);
fscanf(fb, "%d %d\n", &mb, &nb);
// Check if matrices are quadratic
if ((ma != na) && (na != mb) && (mb != nb))
{
printf("Invalid matrices dimensions\n");
return 0;
}
n = na;
// Check if sqrt(nr_processes) divides matrix dimension
if ((n % proc_matrix_size != 0) || (world_size % proc_matrix_size != 0))
{
printf("Number of processes does not fit matrix size\n");
return 0;
}
block_size = n / proc_matrix_size;
malloc2D(&A, n, n);
malloc2D(&B, n, n);
malloc2D(&C, n, n);
// Read matrices A & B from file
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
fscanf(fa, "%d ", &A[i][j]);
fscanf(fb, "%d ", &B[i][j]);
}
fscanf(fa, "\n");
}
MPI_Bcast(&n, 1, MPI_INT, 0, MPI_COMM_WORLD);
MPI_Bcast(&block_size, 1, MPI_INT, 0, MPI_COMM_WORLD);
}
else {
MPI_Bcast(&n, 1, MPI_INT, 0, MPI_COMM_WORLD);
MPI_Bcast(&block_size, 1, MPI_INT, 0, MPI_COMM_WORLD);
}
/*
Divide matrices in blocks and send each block to the corresponding process
*/
// Declare global pointers to matrices
int *globalAptr = NULL;
int *globalBptr = NULL;
int *globalCptr = NULL;
// Declare global return pointers
int *globalA2ptr = NULL;
int *globalB2ptr = NULL;
int **A2 = NULL;
int **B2 = NULL;
// Declare local matrix pointers
int **a = NULL;
int **b = NULL;
int **c = NULL;
malloc2D(&A2, n, n);
malloc2D(&B2, n, n);
if (world_rank == 0)
{
globalAptr = &(A[0][0]);
globalBptr = &(B[0][0]);
globalA2ptr = &(A2[0][0]);
globalB2ptr = &(B2[0][0]);
globalCptr = &(C[0][0]);
}
malloc2D(&a, block_size, block_size);
malloc2D(&b, block_size, block_size);
malloc2D(&c, block_size, block_size);
// Sizes of input global matrix
int sizes[2] = { n, n };
// Sizes of each block
int subsizes[2] = { block_size, block_size };
// Begining of current block
int starts[2] = { 0,0 };
// Declare subarray type
MPI_Datatype type, subarrtype;
MPI_Type_create_subarray(2, sizes, subsizes, starts, MPI_ORDER_C, MPI_INT, &type);
MPI_Type_create_resized(type, 0, block_size * sizeof(int), &subarrtype);
MPI_Type_commit(&subarrtype);
// Scatter the A and B to all processes
int* sendcounts = (int*)malloc(proc_matrix_size * proc_matrix_size * sizeof(int));
int* displs = (int*)malloc(proc_matrix_size * proc_matrix_size * sizeof(int));
if (world_rank == 0)
{
for (int i = 0; i < proc_matrix_size * proc_matrix_size; i++)
sendcounts[i] = 1;
int disp = 0;
for (int i = 0; i < proc_matrix_size; i++) {
for (int j = 0; j < proc_matrix_size; j++) {
displs[i * proc_matrix_size + j] = disp;
disp += 1;
}
disp += ((n / proc_matrix_size)-1) * proc_matrix_size;
}
}
MPI_Scatterv(globalAptr, sendcounts, displs, subarrtype, &(a[0][0]),
block_size * block_size, MPI_INT,
0, MPI_COMM_WORLD);
MPI_Scatterv(globalBptr, sendcounts, displs, subarrtype, &(b[0][0]),
block_size * block_size, MPI_INT,
0, MPI_COMM_WORLD);
for (int i = 0; i < block_size; i++) {
for (int j = 0; j < block_size; j++) {
a[i][j] = 10 + a[i][j];
b[i][j] = 10 + b[i][j];
}
}
// It all goes back to process 0
MPI_Gatherv(&(a[0][0]), block_size * block_size, MPI_INT,
globalA2ptr, sendcounts, displs, subarrtype,
0, MPI_COMM_WORLD);
MPI_Gatherv(&(b[0][0]), block_size * block_size, MPI_INT,
globalB2ptr, sendcounts, displs, subarrtype,
0, MPI_COMM_WORLD);
MPI_Finalize();
return 0;
}
OLD:
I would like to mention that at the moment, I am trying to send blocks over the default communicator and planning to implement the shifting operations and the cartesian communicator after managing to send the matrix blocks.
The help I need is with regard to the Scatterv function which throws the following error:
job aborted: [ranks] message
[0] fatal error Fatal error in MPI_Scatterv: Invalid count, error
stack: MPI_Scatterv(sbuf=0x0000029262048D40, scnts=0x00000292620482B0,
displs=0x0000029262048250, dtype=USER,
rbuf=0x000002926203ED30, rcount=25, MPI_INT, root=0, MPI_COMM_WORLD)
failed Negative count, value is -1912594387
[1-7] terminated
This is the code I have written until now:
#include "stdafx.h"
#include "mpi.h"
#include "stdio.h"
#include "stdlib.h"
#include <assert.h>
#include <cstdlib>
#include <math.h>
int malloc2D(int ***array, int n, int m) {
int i;
/* allocate the n*m contiguous items */
int *p = (int*) malloc(n*m * sizeof(int));
if (!p) return -1;
/* allocate the row pointers into the memory */
(*array) = (int**) malloc(n * sizeof(int*));
if (!(*array)) {
free(p);
return -1;
}
/* set up the pointers into the contiguous memory */
for (i = 0; i<n; i++)
(*array)[i] = &(p[i*m]);
return 0;
}
int free2D(int ***array) {
/* free the memory - the first element of the array is at the start */
free(&((*array)[0][0]));
/* free the pointers into the memory */
free(*array);
return 0;
}
int main(int argc, char* argv[])
{
MPI_Init(&argc, &argv);
if (argc != 3) {
fprintf(stderr, "Not enough arguments passed! Make sure you pass 2 filenames.\n");
MPI_Abort(MPI_COMM_WORLD, 1);
}
// Find out rank, size
int world_rank;
MPI_Comm_rank(MPI_COMM_WORLD, &world_rank);
int world_size;
MPI_Comm_size(MPI_COMM_WORLD, &world_size);
// Declare file pointers
FILE* fa = NULL;
FILE* fb = NULL;
// Declare matrix pointers
int **A = NULL;
int **B = NULL;
int **C = NULL;
// Declare matrix dymensions
int ma = 0, na = 0;
int mb = 0, nb = 0;
// Nr of processes on each line/column in process mesh
int proc_grid_size = (int)sqrt(world_size);
// Single value for quadratic matrix size
int n = 0;
// Nr of elements on each line/column in local matrix
// of each process
int block_size = 0;
// Open files and read matrices
if (world_rank == 0)
{
fa = fopen(argv[1], "r");
fb = fopen(argv[2], "r");
// Read matrix dymensions
fscanf(fa, "%d %d\n", &ma, &na);
fscanf(fb, "%d %d\n", &mb, &nb);
// Check if matrices are quadratic
if ((ma != na) && (na != mb) && (mb != nb))
{
printf("Invalid matrices dimensions\n");
return 0;
}
n = na;
// Check if sqrt(nr_processes) divides matrix dimension
if ((n % proc_grid_size != 0) || (world_size % proc_grid_size != 0))
{
printf("Number of processes does not fit matrix size\n");
return 0;
}
block_size = n / proc_grid_size;
// Initialize matrices
A = (int**)calloc(n, sizeof(int*));
B = (int**)calloc(n, sizeof(int*));
//C = (int**)calloc(n, sizeof(int*));
for (int i = 0; i < n; i++)
{
A[i] = (int*)calloc(n, sizeof(int));
B[i] = (int*)calloc(n, sizeof(int));
//C[i] = (int*)calloc(n, sizeof(int));
}
// Read matrix A from file
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
fscanf(fa, "%d ", &A[i][j]);
printf("%d ", A[i][j]);
}
fscanf(fa, "\n");
printf("\n");
}
// Read matrix B from file
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
fscanf(fb, "%d ", &B[i][j]);
printf("%d ", B[i][j]);
}
fscanf(fb, "\n");
printf("\n");
}
MPI_Bcast(&n, 1, MPI_INT, 0, MPI_COMM_WORLD);
MPI_Bcast(&block_size, 1, MPI_INT, 0, MPI_COMM_WORLD);
}
else {
MPI_Bcast(&n, 1, MPI_INT, 0, MPI_COMM_WORLD);
MPI_Bcast(&block_size, 1, MPI_INT, 0, MPI_COMM_WORLD);
}
/*
Divide matrices in blocks and send each block to the corresponding process
*/
// Sizes of input global matrix
int sizes[2] = { n, n };
// Sizes of each block
int subsizes[2] = { block_size, block_size };
// Begining of current block
int starts[2] = { 0,0 };
// Declare subarray type
MPI_Datatype type, subarrtype;
MPI_Type_create_subarray(2, sizes, subsizes, starts, MPI_ORDER_C, MPI_INT, &type);
MPI_Type_create_resized(type, 0, block_size * sizeof(int), &subarrtype);
MPI_Type_commit(&subarrtype);
// Declare global pointers to matrices
int *globalAptr = NULL;
int *globalBptr = NULL;
int **A2 = NULL;
int **B2 = NULL;
malloc2D(&A2, n, n);
malloc2D(&B2, n, n);
// Declare global return pointers
int *globalA2ptr = NULL;
int *globalB2ptr = NULL;
if (world_rank == 0)
{
globalAptr = &(A[0][0]);
globalBptr = &(B[0][0]);
globalA2ptr = &(A2[0][0]);
globalB2ptr = &(B2[0][0]);
}
// Declare local matrix pointers
int **a = NULL;
int **b = NULL;
malloc2D(&a, block_size, block_size);
malloc2D(&b, block_size, block_size);
// Scatter the A and B to all processes
int* sendcounts = (int*)malloc(proc_grid_size * proc_grid_size * sizeof(int));
int* displs = (int*)malloc(proc_grid_size * proc_grid_size * sizeof(int));
if (world_rank == 0)
{
for (int i = 0; i < proc_grid_size * proc_grid_size; i++)
sendcounts[i] = 1;
int disp = 0;
for (int i = 0; i < proc_grid_size; i++) {
for (int j = 0; j < proc_grid_size; j++) {
displs[i * proc_grid_size + j] = disp;
disp += 1;
}
disp += ((block_size) - 1) * proc_grid_size;
}
for (int i = 0; i < proc_grid_size * proc_grid_size; i++)
{
printf("Send cound: %d\n", sendcounts[i]);
}
}
MPI_Scatterv(globalAptr, sendcounts, displs, subarrtype, &(a[0][0]),
block_size * block_size, MPI_INT,
0, MPI_COMM_WORLD);
MPI_Scatterv(globalBptr, sendcounts, displs, subarrtype, &(b[0][0]),
block_size * block_size, MPI_INT,
0, MPI_COMM_WORLD);
// Now each processor has its local array, and can process it
for (int i = 0; i < block_size; i++) {
for (int j = 0; j < block_size; j++) {
a[i][j] = 10 + a[i][j];
b[i][j] = 10 + b[i][j];
}
}
// It all goes back to process 0
MPI_Gatherv(&(a[0][0]), block_size * block_size, MPI_INT,
globalA2ptr, sendcounts, displs, subarrtype,
0, MPI_COMM_WORLD);
MPI_Gatherv(&(b[0][0]), block_size * block_size, MPI_INT,
globalB2ptr, sendcounts, displs, subarrtype,
0, MPI_COMM_WORLD);
}
MPI_Finalize();
return 0;
}
Thank you very much!

Program hangs after MPI_Bcast

I am new to MPI. I need to make a program for matrix multiplication in 2D topology (grid). First matrix (A) distributes along x coordinate, second matrix (B) distributes along y coordinate. Every process counts one submatrix. I use MPI_Bcast to send submatrices in dimensions, but after that program doesn't continue. What did I do wrong?
Here is the code.
#include<stdio.h>
#include<stdlib.h>
#include<mpi/mpi.h>
#define NUM_DIMS 2
#define N 81
#define A(i, j) A[N*(i)+(j)]
#define B(i, j) B[N*(i)+(j)]
#define C(i, j) C[N*(i)+(j)]
#define AA(i, j) AA[k *(i)+(j)] //
#define BB(i, j) BB[k*(i)+(j)]
#define CC(i, j) CC[k*(i)+(j)]
int main(int argc, char **argv) {
MPI_Init(&argc, &argv);
int threadCount;
int threadRank;
MPI_Comm_size(MPI_COMM_WORLD, &threadCount);
int dims[NUM_DIMS] = {0};
//Создаем решетку
int periods[2] = {0, 0};
MPI_Comm comm_2D;
MPI_Comm comm_1D[2];
MPI_Dims_create(threadCount, NUM_DIMS, dims);
MPI_Cart_create(MPI_COMM_WORLD, 2, dims, periods, 0, &comm_2D);
MPI_Comm_rank(comm_2D, &threadRank);
int k = N/dims[1];
double *A = (double*)calloc(N*N, sizeof(double));
double *B = (double*)calloc(N*N, sizeof(double));
double *C = (double*)calloc(N*N, sizeof(double));
double startTime = MPI_Wtime();
int subdims[2];
subdims[0] = 0;
subdims[1] = 1;
MPI_Cart_sub(comm_2D, subdims, &comm_1D[0]);
subdims[0] = 1;
subdims[1] = 0;
MPI_Cart_sub(comm_2D, subdims, &comm_1D[1]);
MPI_Datatype column, matrix;
MPI_Type_vector(N, N / k, N, MPI_DOUBLE, &column);
MPI_Type_create_resized(column, 0, N / k * sizeof(double), &column);
MPI_Type_commit(&column);
double *AA, *BB, *CC;
AA = (double*)calloc(N * k, sizeof(double));
BB = (double*)calloc(N * k, sizeof(double));
CC = (double*)calloc(k * k , sizeof(double));
int threadCoords[2];
MPI_Comm_rank(comm_2D, &threadRank);
MPI_Cart_coords(comm_2D, threadRank, NUM_DIMS, threadCoords);
if (threadCoords[0] == 0) {
for (int i = 0; i < N; ++i) {
for (int j = 0; j < N; ++j) {
A(i, j) = 1;
B(i, j) = 1;
}
}
}
if (threadCoords[1] == 0) {
MPI_Scatter(A, N * k, MPI_DOUBLE, AA, N * k, MPI_DOUBLE, 0, comm_1D[0]);
}
if (threadCoords[0] == 0) {
int offset[3] = {0, 1, 2};
int send[3] = {1, 1, 1};
MPI_Scatterv(B, send, offset, column, BB, N * k , MPI_DOUBLE, 0, comm_1D[1]);
}
int r = MPI_Bcast(AA, k*N, MPI_DOUBLE, 0, comm_1D[1]);
fprintf(stderr, "r = %d\n", r);
int p = MPI_Bcast(BB, k*N, MPI_DOUBLE, 0, comm_1D[0]);
fprintf(stderr, "p = %d\n", p);
/*...*/
}

parallel sort using mpi

I try to sort different array with mpi. Every array are allocate locally.
for example we have {1-7-4-12} {3-7-5-9} {12-15-2-16} {10-8-11-13}
and we want {1-2-3-4}{5-6-7-8}{9-10-11-12}{13-14-15-16}
So I use odd-even strategy. For 2proccess it's works in every case but when i try with more process i have new value. For my example i can have {23-2-3-4}. I think my problem is from allocate memory but i don't find where and what i do wrong...
#include "mpi.h"
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#define MASTER 0
#define MIN(a,b) ((a)<(b)?(a):(b))
#define BLOCK_LOW(id,p,n) ((id)*(n)/(p))
#define BLOCK_HIGH(id,p,n) \
(BLOCK_LOW((id)+1,p,n)-1)
#define BLOCK_SIZE(id,p,n) \
(BLOCK_LOW((id)+1, p, n)-BLOCK_LOW(id, p , n))
#define BLOCK_OWNER(index,p,n) \
(((p)*(index+1)-1)/(n))
int nbProcess, id, n; //n = number of value
void printTabByProcess(int *T){
int i = 0;
int size = BLOCK_SIZE(id, nbProcess, n);
printf("Tab n°%d [ ", id, size);
for(i; i < size; i++){
printf(" %d ", T[i]);
}
printf(" ]\n");
}
void fusion(int *t,int deb1,int fin1,int fin2){
int *table1;
int deb2=fin1+1;
int compt1=deb1;
int compt2=deb2;
int i;
table1=(int*)malloc((fin1-deb1+1)*sizeof(int));
for(i=deb1;i<=fin1;i++) {
table1[i-deb1]=t[i];
}
for(i=deb1;i<=fin2;i++){
if(compt1==deb2)
break;
else if(compt2==(fin2+1)){
t[i]=table1[compt1-deb1];
compt1++;
}
else if(table1[compt1-deb1]<t[compt2]){
t[i]=table1[compt1-deb1];
compt1++;
}
else{
t[i]=t[compt2];
compt2++;
}
}
free(table1);
}
void tri_fusion(int*t,int deb,int fin){
if(deb!=fin){
int milieu=(fin+deb)/2;
tri_fusion(t,deb,milieu);
tri_fusion(t,milieu+1,fin);
fusion(t,deb,milieu,fin);
}
}
int* fusion2(int* t1, int* t2, int size1, int size2){
int* buffer = malloc(sizeof(int)*(size1 + size2));
int index1 = 0;
int index2 = 0;
int i = 0;
for(i; i < (size1 + size2) - 1; i++){
if(t1[index1] < t2[index2]){
buffer[i] = t1[index1];
index1++;
}else{
buffer[i] = t2[index2];
index2++;
}
}
if(index1 == size1 - 1 ){
buffer[size1 + size2 - 1] = t1[index1];
}else{
buffer[size1 + size2 - 1] = t2[index2];
}
return buffer;
}
/*
*
* OUR FUNCTION TO PARALLEL SORT
*
*/
void TD_trier(int* T){
MPI_Status status;
int size = BLOCK_SIZE(id, nbProcess, n);
int receive_size = 0;
int* receive;
int* array_tmp;
int i = 0;
tri_fusion(T, 0, size - 1);
MPI_Barrier(MPI_COMM_WORLD);
for(i; i < nbProcess; i++){
if(i%2==0){
if(id % 2 == 1){//send to left
MPI_Send(&size, 1, MPI_INT, id - 1, 1, MPI_COMM_WORLD);
MPI_Send(T, size, MPI_INT, id - 1, 1, MPI_COMM_WORLD);
MPI_Recv(T, size, MPI_INT, id - 1, 1, MPI_COMM_WORLD, &status);
}else {
MPI_Recv(&receive_size, 1, MPI_INT, id + 1, 1, MPI_COMM_WORLD, &status);
receive = malloc(sizeof(int) * size);
MPI_Recv(receive, receive_size, MPI_INT, id + 1, 1, MPI_COMM_WORLD, &status);
array_tmp = fusion2(T, receive, size, receive_size);
MPI_Send(&array_tmp[size], receive_size, MPI_INT, id + 1, 1, MPI_COMM_WORLD);
T = realloc(array_tmp, sizeof(int) * size);
}
if(id == 1){
//~ printTabByProcess(T);
}
}else if(i%2 == 1 && id < nbProcess-1){ //send to right
if(id % 2 == 1){
MPI_Send(&size, 1, MPI_INT, id + 1, 1, MPI_COMM_WORLD);
MPI_Send(T, size, MPI_INT, id + 1, 1, MPI_COMM_WORLD);
//printTabByProcess(T);
MPI_Recv(T, size, MPI_INT, id + 1, 1, MPI_COMM_WORLD, &status);
}else if(id != 0 && id%2 ==0) {
MPI_Recv(&receive_size, 1, MPI_INT, id - 1, 1, MPI_COMM_WORLD, &status);
//receive = malloc(sizeof(int) * size);
MPI_Recv(receive, receive_size, MPI_INT, id - 1, 1, MPI_COMM_WORLD, &status);
//printTabByProcess(receive);
array_tmp = fusion2(T, receive, size, receive_size);
MPI_Send(array_tmp, receive_size, MPI_INT, id - 1, 1, MPI_COMM_WORLD);
printTabByProcess(&array_tmp[2]);
T = array_tmp + size;
printTabByProcess(T);
}
}
MPI_Barrier(MPI_COMM_WORLD);
}
//printTabByProcess(T);
}
int generateRandomValue(){
return rand() % 100;
}
//init array with "random" value
int* TD_init(int n){
int i = 0;
int indiceDerniere = (id+1)*n/nbProcess -1;
int indicePremiere = id*n/nbProcess;
int* arrayLocal;
int localSize = indiceDerniere - indicePremiere +1;
arrayLocal = malloc(sizeof(int)*localSize);
//~ printf("id : %d - nbCase : %d (debut : %d, fin : %d)\n",
//~ id, localSize, indicePremiere, indiceDerniere);
for(i; i < localSize; i++){
arrayLocal[i] = generateRandomValue() - id;
}
printTabByProcess(arrayLocal);
return arrayLocal;
}
int main (int argc, char *argv[]){
//int n = 0;
int *dataLocal;
int dest;
int x;
int success;
MPI_Status status;
srand(time(NULL));
/***** Initializations *****/
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD, &nbProcess); //numtask contient le nombre de processeur
MPI_Comm_rank(MPI_COMM_WORLD, &id); //taskid, determine le numero du processus
//~ printf ("MPI task %d has started...\n", id);
//~ tag2 = 1;
//~ tag1 = 2;
MPI_Barrier (MPI_COMM_WORLD);
/***** Master task only ******/
if (id == MASTER){
printf("Chose a number of value :");
scanf("%d",&n);
/* Send the number of cases */
for (dest=1; dest<nbProcess; dest++) {
MPI_Send(&n, 1, MPI_INT, dest, 1, MPI_COMM_WORLD); //send number of value
}
} /* end of master section */
/***** Non-master tasks only *****/
if (id > MASTER) {
/* Receive the number of cases */
MPI_Recv(&n, 1, MPI_INT, MASTER, 1, MPI_COMM_WORLD, &status);
}
MPI_Barrier (MPI_COMM_WORLD);
dataLocal = TD_init(n);
MPI_Barrier (MPI_COMM_WORLD);
if(id == 0){
printf("__________________________________________\n");
}
TD_trier(dataLocal);
MPI_Finalize();
}
Troubles may come from fusion2 function. index1 can become higher than size1. In fact, the MPI part works correctly. The code works once tests are performed. Here is a version that is not optimal but...
int* fusion2(int* t1, int* t2, int size1, int size2){
int* buffer = malloc(sizeof(int)*(size1 + size2));
int index1 = 0;
int index2 = 0;
int i = 0;
for(i; i < (size1 + size2) ; i++){
if(index1==size1){
buffer[i] = t2[index2];
index2++;
}else{
if(index2==size2){
buffer[i] = t1[index1];
index1++;
}else{
if(t1[index1] < t2[index2]){
buffer[i] = t1[index1];
index1++;
}else{
buffer[i] = t2[index2];
index2++;
}
}
}
}
return buffer;
}
Watch for memory management.
Ex : did you free T before doing ?
T = realloc(array_tmp, sizeof(int) * size);
Did you free "receive" ? did you free "array_tmp" in the second part ?
I fear memory leakages exist... It might be better to avoid allocation in fusion2, and even in the loops. Allocate array_tmp and receive at start, with "enougth" space, might be safer (faster ?).
Bye,
Francis
More : qsort (in stdlib) may go faster for local sorting.

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