115 lines
3.3 KiB
C++
115 lines
3.3 KiB
C++
#include "mat_mul.h"
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#include "util.h"
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#include <cstdio>
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#include <cstdlib>
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#include <mpi.h>
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static float *A, *B, *C;
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static int M, N, K;
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static int num_threads;
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static int mpi_rank, mpi_world_size;
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static int rows, offset;
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#define MASTER 0
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#define FROM_MASTER 1
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#define FROM_WORKER 2
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#define JTILESIZE (1024)
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#define KTILESIZE (1024)
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__inline int min(int a, int b)
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{
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if(a > b)
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return b;
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else
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return a;
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}
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static void mat_mul_omp() {
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// TODO: parallelize & optimize matrix multiplication
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// Use num_threads per node
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int ITILESIZE = num_threads;
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#pragma omp parallel num_threads(num_threads)
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#pragma omp for schedule(auto)
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for (int ii = 0; ii < rows; ii += ITILESIZE) {
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for (int jj = 0; jj < N; jj += JTILESIZE) {
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for (int kk = 0; kk < K; kk += KTILESIZE) {
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for (int k = kk; k < min(kk + KTILESIZE,K); k++) {
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for (int i = ii; i < min(ii + ITILESIZE,M); i++) {
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float ar = A[i * K + k];
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for (int j = jj; j < min(jj + JTILESIZE,N); j+=1) {
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C[i * N + j] += ar * B[k * N + j];
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}
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}
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}
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}
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}
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}
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}
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void mat_mul(float *_A, float *_B, float *_C, int _M, int _N, int _K,
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int _num_threads, int _mpi_rank, int _mpi_world_size) {
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A = _A, B = _B, C = _C;
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M = _M, N = _N, K = _K;
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num_threads = _num_threads, mpi_rank = _mpi_rank,
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mpi_world_size = _mpi_world_size;
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MPI_Status status;
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MPI_Request request;
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// TODO: parallelize & optimize matrix multiplication on multi-node
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// You must allocate & initialize A, B, C for non-root processes
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// FIXME: for now, only root process runs the matrix multiplication.
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//if (mpi_rank == 0)
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// mat_mul_omp();
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if (mpi_rank == 0) {
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int unit = M / mpi_world_size;
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int st, ed;
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for (int node = 1; node < mpi_world_size; node++) {
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st = offset = node* unit;
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ed = node == mpi_world_size - 1 ? M : (node+1)*unit;
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rows = ed - st;
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MPI_Isend(&offset, 1, MPI_INT, node, FROM_MASTER, MPI_COMM_WORLD, &request);
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MPI_Isend(&rows, 1, MPI_INT, node, FROM_MASTER, MPI_COMM_WORLD, &request);
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MPI_Isend(&A[offset*K], rows*K, MPI_FLOAT, node, FROM_MASTER, MPI_COMM_WORLD, &request);
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MPI_Isend(B, K*N, MPI_FLOAT, node, FROM_MASTER, MPI_COMM_WORLD, &request);
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}
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offset = 0;
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rows = unit;
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mat_mul_omp();
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for (int node = 1; node < mpi_world_size; node++) {
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MPI_Recv(&offset, 1, MPI_INT, node, FROM_WORKER, MPI_COMM_WORLD, &status);
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MPI_Recv(&rows, 1, MPI_INT, node, FROM_WORKER, MPI_COMM_WORLD, &status);
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MPI_Recv(&C[offset*N], rows*N, MPI_FLOAT, node, FROM_WORKER, MPI_COMM_WORLD, &status);
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}
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}
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else {
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alloc_mat(&A, M, K);
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alloc_mat(&B, K, N);
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alloc_mat(&C, M, N);
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zero_mat(C, M, N);
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MPI_Recv(&offset, 1, MPI_INT, MASTER, FROM_MASTER, MPI_COMM_WORLD, &status);
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MPI_Recv(&rows, 1, MPI_INT, MASTER, FROM_MASTER, MPI_COMM_WORLD, &status);
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MPI_Recv(A, rows*K, MPI_FLOAT, MASTER, FROM_MASTER, MPI_COMM_WORLD, &status);
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MPI_Recv(B, K*N, MPI_FLOAT, MASTER, FROM_MASTER, MPI_COMM_WORLD, &status);
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mat_mul_omp();
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MPI_Isend(&offset, 1, MPI_INT, MASTER, FROM_WORKER, MPI_COMM_WORLD, &request);
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MPI_Isend(&rows, 1, MPI_INT, MASTER, FROM_WORKER, MPI_COMM_WORLD, &request);
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MPI_Isend(C, rows*N, MPI_FLOAT, MASTER, FROM_WORKER, MPI_COMM_WORLD, &request);
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}
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}
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