179 lines
5.8 KiB
C++
179 lines
5.8 KiB
C++
#include "convolution.h"
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#include "util.h"
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#include <mpi.h>
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#include <stdio.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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static int min(int x, int y) {
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return x < y ? x : y;
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}
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#define C_TILESIZE (8)
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#define S_TILESIZE (8)
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#define R_TILESIZE (8)
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void convolution_omp16(int ns, int ne)
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{
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#pragma omp parallel for num_threads(80) collapse(4) schedule(dynamic)
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for (int n = ns; n < ne; ++n) { // # of output channel (= # of input image)
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for (int k = 0; k < K; ++k) { // # of output image (filter) channel
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for (int oh = 0; oh < OH; ++oh) { // output height (=row)
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for (int ow = 0; ow < OW; ++ow) { // output width (=column)
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__m512 vo = _mm512_setzero_ps();
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for (int cc = 0; cc < C; cc += C_TILESIZE)
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for (int rr = 0; rr < R; rr += R_TILESIZE)
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for (int c = cc; c < min(C, cc+C_TILESIZE); ++c) { // # of input channel
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for (int r = rr; r < min(R, rr+R_TILESIZE); ++r) { // filter height (=row)
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int h = oh * stride - pad + r * dilation;
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int w = ow * stride - pad;
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if (h < 0 || h >= H || w < 0 || w >= W) continue;
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int idx_i = (n * C * H * W) + (c * H * W) + (h * W) + w;
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int idx_f = (k * C * R * S) + (c * R * S) + (r * S);
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__m512 i = _mm512_loadu_ps( &input[idx_i]);
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__m512 f = _mm512_loadu_ps(&filter[idx_f]);
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vo = _mm512_fmadd_ps(i, f, vo);
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}
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}
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// float* o = (float*)&vo;
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float o[16];
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_mm512_store_ps(o, vo);
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output[(n * K * OH * OW) + (k * OH * OW) + (oh * OW) + ow] =
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o[0] +o[1] +o[2] +o[3] +o[4] +o[5] +o[6] +o[7] +
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o[8] +o[9] +o[10] +o[11] +o[12] +o[13] +o[14] +o[15];
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// vo[0] +vo[1] +vo[2] +vo[3] +vo[4] +vo[5] +vo[6] +vo[7] ;
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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 convolution_omp(int ns, int ne)
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{
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#pragma omp parallel for num_threads(80) collapse(4) schedule(dynamic)
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for (int n = ns; n < ne; ++n) { // # of output channel (= # of input image)
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for (int k = 0; k < K; ++k) { // # of output image (filter) channel
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for (int oh = 0; oh < OH; ++oh) { // output height (=row)
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for (int ow = 0; ow < OW; ++ow) { // output width (=column)
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float o = 0.f;
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for (int cc = 0; cc < C; cc += C_TILESIZE)
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for (int rr = 0; rr < R; rr += R_TILESIZE)
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for (int ss = 0; ss < S; ss += S_TILESIZE)
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for (int c = cc; c < min(C, cc+C_TILESIZE); ++c) { // # of input channel
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for (int r = rr; r < min(R, rr+R_TILESIZE); ++r) { // filter height (=row)
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for (int s = ss; s < min(S, ss+S_TILESIZE); ++s) { // filter width (=column)
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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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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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input = _input;
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output = _output;
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filter = _filter;
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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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// Allocate
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if(mpi_rank != 0){
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alloc_tensor(&input, N, C, H, W);
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alloc_tensor(&output, N, K, OH, OW);
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alloc_tensor(&filter, K, C, R, S);
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}
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// else
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// printf("mpi_world_size = %d\n", mpi_world_size);
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// N split
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int ns[mpi_world_size], ne[mpi_world_size];
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for (int i = 0; i < mpi_world_size; i++) {
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ns[i] = N / mpi_world_size * i;
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ne[i] = N / mpi_world_size * (i + 1);
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}
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ne[mpi_world_size - 1] = N;
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// Scatter Input
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int input_line = C*H*W;
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if (mpi_rank == 0) {
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for (int i = 1; i < mpi_world_size; i++) {
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MPI_Send(input + ns[i] * input_line, (ne[i] - ns[i]) * input_line, MPI_FLOAT, i, 0,
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MPI_COMM_WORLD);
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}
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} else {
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MPI_Recv(input + ns[mpi_rank] * input_line, (ne[mpi_rank] - ns[mpi_rank]) * input_line, MPI_FLOAT,
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0, 0, MPI_COMM_WORLD, nullptr);
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}
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// Broadcast Filter
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int filter_size = K*C*R*S;
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MPI_Bcast(filter, filter_size, MPI_FLOAT, 0, MPI_COMM_WORLD);
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// convolution_omp16(ns[mpi_rank], ne[mpi_rank]);
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if(S==16 && R==16 && dilation==1){
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// printf("%d: omp16!\n", mpi_rank);
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convolution_omp16(ns[mpi_rank], ne[mpi_rank]);
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}else{
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convolution_omp(ns[mpi_rank], ne[mpi_rank]);
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}
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// Gather Output
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int output_line = K*OH*OW;
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if (mpi_rank == 0) {
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for (int i = 1; i < mpi_world_size; i++) {
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MPI_Recv(output + ns[i] * output_line, (ne[i] - ns[i]) * output_line, MPI_FLOAT, i, 0,
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MPI_COMM_WORLD, nullptr);
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}
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} else {
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MPI_Send(output + ns[mpi_rank] * output_line, (ne[mpi_rank] - ns[mpi_rank]) * output_line, MPI_FLOAT, 0, 0,
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MPI_COMM_WORLD);
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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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}
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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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