146 lines
4.2 KiB
C++
146 lines
4.2 KiB
C++
#include "convolution.h"
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#include <mpi.h>
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#include <stdio.h>
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#include "util.h"
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#include <immintrin.h>
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static float *input, *output, *filter;
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static int N, C, H, W;
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static int K, R, S;
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static int OH, OW;
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static int pad;
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static int dilation;
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static int stride;
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static int mpi_rank, mpi_world_size;
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#define MAX_NODE 2
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static int size[MAX_NODE], offset[MAX_NODE];
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void convolution(
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float *_input, float *_output, float *_filter,
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int _N, int _C, int _H, int _W,
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int _K, int _R, int _S,
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int _pad, int _dilation, int _stride) {
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MPI_Request request;
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MPI_Status status;
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if(mpi_rank == 0) {
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input = _input;
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output = _output;
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filter = _filter;
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for (int node=1; node < mpi_world_size; node++) {
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MPI_Isend(&input[offset[node]*C*H*W], size[node]*C*H*W, MPI_FLOAT, node, 0, MPI_COMM_WORLD, &request);
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MPI_Isend(filter, K*C*R*S, MPI_FLOAT, node, 0, MPI_COMM_WORLD, &request);
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}
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}
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else {
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MPI_Recv(input, size[mpi_rank]*C*H*W, MPI_FLOAT, 0, 0, MPI_COMM_WORLD, &status);
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MPI_Recv(filter, K*C*R*S, MPI_FLOAT, 0, 0, MPI_COMM_WORLD, &status);
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}
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if (pad == 0 && dilation == 1 && stride == 1 && (S % 16 == 0)){
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#pragma omp parallel for collapse(2) num_threads(100)
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for (int n = 0; n < size[mpi_rank]; ++n) {
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for (int k = 0; k < K; ++k) {
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for (int oh = 0; oh < OH; ++oh) {
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for (int ow = 0; ow < OW; ++ow) {
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__m512 vo = _mm512_setzero_ps();
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for (int c = 0; c < C; ++c) {
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__m512 vi, vf;
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for (int r = 0; r < R; ++r) {
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for (int s = 0; s < S; s+=16) {
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int h = oh + r;
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int w = ow + s;
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vf = _mm512_loadu_ps(&filter[k*C*R*S+c*R*S+r*S+s]);
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vi = _mm512_loadu_ps(&input[n*C*H*W+c*H*W+h*W+w]);
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vo = _mm512_fmadd_ps(vf,vi,vo);
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}
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}
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}
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output[n*K*OH*OW+k*OH*OW+oh*OW+ow] = _mm512_reduce_add_ps(vo);
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}
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}
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}
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}
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}
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else {
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#pragma omp parallel for collapse(3) num_threads(100)
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for (int n = 0; n < size[mpi_rank]; ++n) {
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for (int k = 0; k < K; ++k) {
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for (int oh = 0; oh < OH; ++oh) {
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for (int ow = 0; ow < OW; ++ow) {
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float o = 0.f;
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for (int c = 0; c < C; ++c) {
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for (int r = 0; r < R; ++r) {
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for (int s = 0; s < S; ++s) {
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int h = oh * stride - pad + r * dilation;
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int w = ow * stride - pad + s * dilation;
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if (h < 0 || h >= H || w < 0 || w >= W) continue;
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float i = input[n * C * H * W + c * H * W + h * W + w];
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float f = filter[k * C * R * S + c * R * S + r * S + s];
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o += i * f;
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}
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}
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}
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output[n * K * OH * OW + k * OH * OW + oh * OW + ow] = o;
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}
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}
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}
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}
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}
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if(mpi_rank == 0) {
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for (int node=1; node < mpi_world_size; node++) {
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MPI_Recv(&output[offset[node]*K*OH*OW], size[node]*K*OH*OW, MPI_FLOAT, node, 0, MPI_COMM_WORLD, &status);
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}
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}
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else {
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MPI_Isend(output, size[mpi_rank]*K*OH*OW, MPI_FLOAT, 0, 0, MPI_COMM_WORLD, &request);
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}
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}
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void convolution_init(
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int _N, int _C, int _H, int _W,
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int _K, int _R, int _S,
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int _pad, int _dilation, int _stride) {
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N = _N; C = _C; H = _H; W = _W;
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K = _K; R = _R; S = _S;
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pad = _pad;
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dilation = _dilation;
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stride = _stride;
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MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);
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MPI_Comm_size(MPI_COMM_WORLD, &mpi_world_size);
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OH = (H + 2 * pad - dilation * (R - 1) - 1) / stride + 1;
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OW = (W + 2 * pad - dilation * (S - 1) - 1) / stride + 1;
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//Calc partitioned size
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for (int i=0; i < mpi_world_size; i++) {
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int st = i * (N/mpi_world_size);
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int ed = i == mpi_world_size-1 ? N : (i+1)*(N/mpi_world_size);
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size[i] = ed - st;
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offset[i] = st;
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}
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if(mpi_rank != 0) {
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alloc_tensor(&input, size[mpi_rank], C, H, W);
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alloc_tensor(&output, size[mpi_rank], K, OH, OW);
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alloc_tensor(&filter, K, C, R, S);
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}
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}
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void convolution_final(
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int _N, int _C, int _H, int _W,
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int _K, int _R, int _S,
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int _pad, int _dilation, int _stride) {
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}
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