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539 lines
16 KiB
539 lines
16 KiB
/*
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* Test GPU aware MPI on different platforms using a distributed
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* 1d stencil on a 2d array. The exchange in second (non-contiguous)
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* direction forces use of staging buffers, which replicates what
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* is needed for all but the innermost dimension exchanges in the
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* GENE fusion code.
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*
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* Takes optional command line arg for size of each dimension of the domain
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* n_global, in 1024 increments. Default is 8 * 1024 (so 256K plus ghost points
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* in size for doulbles per array), which should fit on any system but may not
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* be enough to tax larger HPC GPUs and MPI impelmentations.
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*
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* There will be four exchange buffers of size 2 * n_global, i.e. 128K each
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* by default.
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*/
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#include <cassert>
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#include <cmath>
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#include <mpi.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include <time.h>
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#include "sycl/sycl.hpp"
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inline void check(const char* fname, int line, int mpi_rval)
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{
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if (mpi_rval != MPI_SUCCESS) {
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printf("%s:%d error %d\n", fname, line, mpi_rval);
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exit(2);
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}
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}
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#define CHECK(x) check(__FILE__, __LINE__, (x))
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static constexpr double stencil5[] = {1.0 / 12.0, -2.0 / 3.0, 0.0, 2.0 / 3.0,
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-1.0 / 12.0};
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constexpr int idx2(int n, int row, int col)
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{
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return row + col * n;
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}
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/*
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* Calculate 1d stencil of second dimension of 2d array on GPU. Out array must
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* be contiguous column major nrows x ncols array, while in array must be
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* (nrows)x(ncols+4) to accomodate 2 ghost points in each direction for the
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* second dimension.
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*
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* Returns sycl event, async with respect to host.
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*/
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auto stencil2d_1d_5(sycl::queue& q, int out_nrows, int out_ncols, double* out2d,
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const double* in2d, double scale)
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{
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// Note: swap index order; SYCL is row-major oriented, and this example
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// is col-major
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int in_nrows = out_nrows + 4;
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auto range = sycl::range<2>(out_ncols, out_nrows);
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auto e = q.submit([&](sycl::handler& cgh) {
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cgh.parallel_for(range, [=](sycl::item<2> item) {
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int row = item.get_id(1);
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int col = item.get_id(0);
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int out_idx = idx2(out_nrows, row, col);
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int in_base_idx = idx2(in_nrows, row, col);
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out2d[out_idx] = (stencil5[0] * in2d[in_base_idx + 0] +
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stencil5[1] * in2d[in_base_idx + 1] +
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stencil5[2] * in2d[in_base_idx + 2] +
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stencil5[3] * in2d[in_base_idx + 3] +
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stencil5[4] * in2d[in_base_idx + 4]) *
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scale;
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});
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});
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return e;
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}
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/*
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* Copy slice of first dimension of in array into contiguous
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* buffer out. In has dimension nrows x ncols, buf has dimension (end - start) x
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* ncols.
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*/
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auto buf_from_view(sycl::queue& q, int ncols, int buf_nrows, double* buf,
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int in_nrows, double* in, int start, int end)
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{
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assert(buf_nrows >= end - start);
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// Note: reverse index order because SYCL is row-major
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auto range = sycl::range<2>(ncols, end - start);
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auto e = q.submit([&](sycl::handler& cgh) {
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cgh.parallel_for(range, [=](sycl::item<2> item) {
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int row = item.get_id(1);
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int col = item.get_id(0);
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buf[idx2(buf_nrows, row, col)] = in[idx2(in_nrows, start + row, col)];
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});
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});
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return e;
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}
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/*
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* Copy contiguous buffer into first dimension of array as a slice. Out has
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* dimension nrows x ncols, buf has dimension (end - start) * ncols.
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*/
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auto buf_to_view(sycl::queue& q, int ncols, int out_nrows, double* out,
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int buf_nrows, double* buf, int start, int end)
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{
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assert(buf_nrows >= end - start);
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// Note: reverse index order because SYCL is row-major
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auto range = sycl::range<2>(ncols, end - start);
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auto e = q.submit([&](sycl::handler& cgh) {
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cgh.parallel_for(range, [=](sycl::item<2> item) {
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int row = item.get_id(1);
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int col = item.get_id(0);
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out[idx2(out_nrows, start + row, col)] = buf[idx2(buf_nrows, row, col)];
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});
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});
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return e;
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}
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void test_buf_view(sycl::queue& q, const int n)
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{
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int n_bnd = 2;
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int n_with_ghost = n + 2 * n_bnd;
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double* data = sycl::malloc_host<double>(n_with_ghost * n, q);
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double* buf = sycl::malloc_host<double>(n_bnd * n, q);
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double* buf2 = sycl::malloc_host<double>(n_bnd * n, q);
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for (int j = 0; j < n; j++) {
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for (int i = 0; i < n_with_ghost; i++) {
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data[idx2(n_with_ghost, i, j)] = (i - n_bnd) + j / 1000.0;
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}
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buf2[idx2(n_bnd, 0, j)] = 100.0 + j;
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buf2[idx2(n_bnd, 1, j)] = 100.0 + j + 0.1;
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}
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for (int j = 0; j < n; j++) {
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for (int i = 0; i < n; i++) {
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printf("data[%d, %d] = %f\n", i, j, data[idx2(n_with_ghost, i, j)]);
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}
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}
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for (int j = 0; j < n; j++) {
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for (int i = 0; i < n_bnd; i++) {
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printf("buf2[%d, %d] = %f\n", i, j, buf2[idx2(n_bnd, i, j)]);
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}
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}
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buf_from_view(q, n, n_bnd, buf, n_with_ghost, data, 0, n_bnd).wait();
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for (int j = 0; j < n; j++) {
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for (int i = 0; i < n_bnd; i++) {
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printf("buf[%d, %d] = %f\n", i, j, buf[idx2(n_bnd, i, j)]);
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}
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}
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buf_to_view(q, n, n_with_ghost, data, n_bnd, buf2, n - n_bnd, n).wait();
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for (int j = 0; j < n; j++) {
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for (int i = 0; i < n; i++) {
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printf("data[%d, %d] = %f\n", i, j, data[idx2(n_with_ghost, i, j)]);
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}
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}
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}
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/*
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* Calculate the norm of the difference of two arrays, as sqrt of sum of
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* squared distances.
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*/
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double diff_norm(sycl::queue& q, int size, double* d_a, double* d_b)
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{
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double result = 0.0;
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sycl::buffer<double> result_buf{&result, 1};
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{
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sycl::range<1> range(size);
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auto e = q.submit([&](sycl::handler& cgh) {
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auto reducer = sycl::reduction(result_buf, cgh, 0.0, std::plus<>{});
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cgh.parallel_for(range, reducer, [=](sycl::id<1> idx, auto& r) {
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double diff = d_a[idx] - d_b[idx];
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r.combine(diff * diff);
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});
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});
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e.wait();
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}
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return std::sqrt(result_buf.get_host_access()[0]);
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}
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sycl::queue get_rank_queue(int n_ranks, int rank)
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{
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int n_devices, device_idx, ranks_per_device;
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cl::sycl::platform p{cl::sycl::default_selector()};
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auto devices = p.get_devices();
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n_devices = devices.size();
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if (n_ranks > n_devices) {
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if (n_ranks % n_devices != 0) {
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printf(
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"ERROR: Number of ranks (%d) not a multiple of number of GPUs (%d)\n",
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n_ranks, n_devices);
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exit(EXIT_FAILURE);
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}
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ranks_per_device = n_ranks / n_devices;
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device_idx = rank / ranks_per_device;
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} else {
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ranks_per_device = 1;
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device_idx = rank;
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}
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// printf("n_devices = %d\n", n_devices);
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// printf("device_idx = %d\n", device_idx);
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return sycl::queue{devices[device_idx],
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cl::sycl::property::queue::in_order()};
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}
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// exchange in first dimension, staging into contiguous buffers on device
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void boundary_exchange_x(MPI_Comm comm, int world_size, int rank,
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sycl::queue& q, int n_global, int n_local, int n_bnd,
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double* d_z, bool stage_host = false)
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{
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int n_local_with_ghost = n_local + 2 * n_bnd;
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int buf_size = n_bnd * n_global;
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static double* sbuf_l = nullptr;
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static double* sbuf_r = nullptr;
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static double* rbuf_l = nullptr;
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static double* rbuf_r = nullptr;
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if (sbuf_l == nullptr) {
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sbuf_l = sycl::malloc_device<double>(buf_size, q);
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sbuf_r = sycl::malloc_device<double>(buf_size, q);
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rbuf_l = sycl::malloc_device<double>(buf_size, q);
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rbuf_r = sycl::malloc_device<double>(buf_size, q);
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}
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static double* h_sbuf_l = nullptr;
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static double* h_sbuf_r = nullptr;
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static double* h_rbuf_l = nullptr;
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static double* h_rbuf_r = nullptr;
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if (stage_host && h_sbuf_l == nullptr) {
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h_sbuf_l = sycl::malloc_host<double>(buf_size, q);
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h_sbuf_r = sycl::malloc_host<double>(buf_size, q);
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h_rbuf_l = sycl::malloc_host<double>(buf_size, q);
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h_rbuf_r = sycl::malloc_host<double>(buf_size, q);
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}
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MPI_Request req_l[2];
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MPI_Request req_r[2];
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int rank_l = rank - 1;
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int rank_r = rank + 1;
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// start async copy of ghost points into send buffers
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if (rank_l >= 0) {
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// printf("rank_l = %d\n", rank_l); fflush(nullptr);
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// sbuf_l = d_z.view(_all, _s(n_bnd, 2 * n_bnd));
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auto e = buf_from_view(q, n_global, n_bnd, sbuf_l, n_local_with_ghost, d_z,
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n_bnd, 2 * n_bnd);
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if (stage_host) {
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q.copy(sbuf_l, h_sbuf_l, buf_size, e);
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/*
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for (int i = 0; i < n_bnd; i++) {
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for (int j = 0; j < n_global; j++) {
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int idx = idx2(n_global, j, i);
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printf("sbuf_l[%d, %d] = %f\n", j, i, h_sbuf_l[idx]);
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fflush(nullptr);
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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 (rank_r < world_size) {
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// printf("rank_r = %d\n", rank_r); fflush(nullptr);
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// sbuf_r = d_z.view(_all, _s(-2 * n_bnd, -n_bnd));
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auto e = buf_from_view(q, n_global, n_bnd, sbuf_r, n_local_with_ghost, d_z,
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n_local, n_local + n_bnd);
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if (stage_host) {
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q.copy(sbuf_r, h_sbuf_r, buf_size, e);
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/*
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for (int i = 0; i < n_bnd; i++) {
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for (int j = 0; j < n_global; j++) {
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int idx = idx2(n_global, j, i);
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printf("sbuf_r[%d, %d] = %f\n", j, i, h_sbuf_r[idx]);
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fflush(nullptr);
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}
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}
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*/
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}
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}
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// initiate async recv
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if (rank_l >= 0) {
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double* rbuf_l_data = nullptr;
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if (stage_host) {
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rbuf_l_data = h_rbuf_l;
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} else {
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rbuf_l_data = rbuf_l;
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}
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MPI_Irecv(rbuf_l_data, buf_size, MPI_DOUBLE, rank_l, 123, comm, &req_l[0]);
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}
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if (rank_r < world_size) {
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double* rbuf_r_data = nullptr;
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if (stage_host) {
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rbuf_r_data = h_rbuf_r;
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} else {
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rbuf_r_data = rbuf_r;
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}
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MPI_Irecv(rbuf_r_data, buf_size, MPI_DOUBLE, rank_r, 456, comm, &req_r[0]);
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}
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// wait for send buffer fill
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q.wait();
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// initiate async sends
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if (rank_l >= 0) {
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double* sbuf_l_data = nullptr;
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if (stage_host) {
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sbuf_l_data = h_sbuf_l;
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} else {
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sbuf_l_data = sbuf_l;
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}
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MPI_Isend(sbuf_l_data, buf_size, MPI_DOUBLE, rank_l, 456, comm, &req_l[1]);
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}
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if (rank_r < world_size) {
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double* sbuf_r_data = nullptr;
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if (stage_host) {
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sbuf_r_data = h_sbuf_r;
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} else {
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sbuf_r_data = sbuf_r;
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}
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MPI_Isend(sbuf_r_data, buf_size, MPI_DOUBLE, rank_r, 123, comm, &req_r[1]);
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}
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// wait for send/recv to complete, then copy data back into main data array
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int mpi_rval;
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if (rank_l >= 0) {
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mpi_rval = MPI_Waitall(2, req_l, MPI_STATUSES_IGNORE);
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if (mpi_rval != MPI_SUCCESS) {
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printf("send_l error: %d\n", mpi_rval);
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}
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if (stage_host) {
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/*
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for (int i = 0; i < n_bnd; i++) {
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for (int j = 0; j < n_global; j++) {
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int idx = idx2(n_global, j, i);
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printf("rbuf_l[%d, %d] = %f\n", j, i, h_rbuf_l[idx]);
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fflush(nullptr);
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}
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}
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*/
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q.copy(h_rbuf_l, rbuf_l, buf_size);
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}
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// d_z.view(_all, _s(0, n_bnd)) = rbuf_l;
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buf_to_view(q, n_global, n_local_with_ghost, d_z, n_bnd, rbuf_l, 0, n_bnd);
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}
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if (rank_r < world_size) {
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mpi_rval = MPI_Waitall(2, req_r, MPI_STATUSES_IGNORE);
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if (mpi_rval != MPI_SUCCESS) {
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printf("send_r error: %d\n", mpi_rval);
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}
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if (stage_host) {
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/*
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for (int i = 0; i < n_bnd; i++) {
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for (int j = 0; j < n_global; j++) {
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int idx = idx2(n_global, j, i);
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printf("rbuf_r[%d, %d] = %f\n", j, i, h_rbuf_r[idx]);
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fflush(nullptr);
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}
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}
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*/
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q.copy(h_rbuf_r, rbuf_r, buf_size);
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}
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// d_z.view(_all, _s(-n_bnd, _)) = rbuf_r;
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buf_to_view(q, n_global, n_local_with_ghost, d_z, n_bnd, rbuf_r,
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n_local + n_bnd, n_local + 2 * n_bnd);
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}
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q.wait();
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}
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int main(int argc, char** argv)
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{
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// sycl::queue q2{};
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// test_buf_view(q2, 6);
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// return EXIT_SUCCESS;
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// Note: domain will be n_global x n_global plus ghost points in one dimension
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int n_global = 8 * 1024;
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bool stage_host = false;
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int n_iter = 100;
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int n_warmup = 5;
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if (argc > 1) {
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n_global = std::atoi(argv[1]) * 1024;
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}
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if (argc > 2) {
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if (argv[2][0] == '1') {
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stage_host = true;
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}
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}
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if (argc > 3) {
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n_iter = std::atoi(argv[3]);
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}
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int n_sten = 5;
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int n_bnd = (n_sten - 1) / 2;
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int world_size, world_rank, device_id;
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uint32_t vendor_id;
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MPI_Init(NULL, NULL);
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MPI_Comm_size(MPI_COMM_WORLD, &world_size);
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MPI_Comm_rank(MPI_COMM_WORLD, &world_rank);
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if (n_global % world_size != 0) {
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printf("%d nmpi (%d) must be divisor of domain size (%d), exiting\n",
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world_rank, world_size, n_global);
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exit(1);
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}
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const int n_local = n_global / world_size;
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const int n_local_with_ghost = n_local + 2 * n_bnd;
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sycl::queue q = get_rank_queue(world_size, world_rank);
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if (world_rank == 0) {
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printf("n procs = %d\n", world_size);
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printf("rank = %d\n", world_rank);
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printf("n_global = %d\n", n_global);
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printf("n_local = %d\n", n_local);
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printf("n_iter = %d\n", n_iter);
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printf("n_warmup = %d\n", n_warmup);
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printf("stage_host = %d\n", stage_host);
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}
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int z_size = n_local_with_ghost * n_global;
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int dzdx_size = n_local * n_global;
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double* h_z = sycl::malloc_host<double>(z_size, q);
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double* d_z = sycl::malloc_device<double>(z_size, q);
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double* h_dzdx_numeric = sycl::malloc_host<double>(dzdx_size, q);
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double* h_dzdx_actual = sycl::malloc_host<double>(dzdx_size, q);
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double* d_dzdx_numeric = sycl::malloc_device<double>(dzdx_size, q);
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double lx = 8;
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double dx = lx / n_global;
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double lx_local = lx / world_size;
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double scale = n_global / lx;
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auto fn = [](double x, double y) { return x * x * x + y * y; };
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auto fn_dzdx = [](double x, double y) { return 3 * x * x; };
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struct timespec start, end;
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double iter_time = 0.0;
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double total_time = 0.0;
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double x_start = world_rank * lx_local;
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for (int j = 0; j < n_global; j++) {
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double ytmp = j * dx;
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for (int i = 0; i < n_local; i++) {
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double xtmp = x_start + i * dx;
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h_z[idx2(n_local_with_ghost, i + n_bnd, j)] = fn(xtmp, ytmp);
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h_dzdx_actual[idx2(n_local, i, j)] = fn_dzdx(xtmp, ytmp);
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}
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}
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// fill boundary points on ends
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if (world_rank == 0) {
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for (int j = 0; j < n_global; j++) {
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double ytmp = j * dx;
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for (int i = 0; i < n_bnd; i++) {
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double xtmp = (i - n_bnd) * dx;
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h_z[idx2(n_local_with_ghost, i, j)] = fn(xtmp, ytmp);
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}
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}
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}
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if (world_rank == world_size - 1) {
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for (int j = 0; j < n_global; j++) {
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double ytmp = j * dx;
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for (int i = 0; i < n_bnd; i++) {
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double xtmp = lx + i * dx;
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h_z[idx2(n_local_with_ghost, n_bnd + n_local + i, j)] = fn(xtmp, ytmp);
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}
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}
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}
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/*
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for (int i = 0; i < 5; i++) {
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int idx = idx2(n_global, 1, i);
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printf("%d row1-l %f\n", world_rank, h_z[idx]);
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}
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for (int i = 0; i < 5; i++) {
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int idx = idx2(n_global, 1, n_local_with_ghost - 1 - i);
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printf("%d row1-r %f\n", world_rank, h_z[idx]);
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}
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*/
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q.copy(h_z, d_z, z_size);
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for (int i = 0; i < n_warmup + n_iter; i++) {
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clock_gettime(CLOCK_MONOTONIC, &start);
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boundary_exchange_x(MPI_COMM_WORLD, world_size, world_rank, q, n_global,
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n_local, n_bnd, d_z, stage_host);
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clock_gettime(CLOCK_MONOTONIC, &end);
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iter_time =
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((end.tv_sec - start.tv_sec) + (end.tv_nsec - start.tv_nsec) * 1.0e-9);
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|
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if (i >= n_warmup) {
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total_time += iter_time;
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}
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// do some calculation, to try to more closely simulate what happens in GENE
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auto e = stencil2d_1d_5(q, n_local, n_global, d_dzdx_numeric, d_z, scale);
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e.wait();
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}
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printf("%d/%d exchange time %0.8f ms\n", world_rank, world_size,
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total_time / n_iter * 1000);
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q.copy(d_dzdx_numeric, h_dzdx_numeric, dzdx_size).wait();
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|
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/*
|
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for (int i = 0; i < 5; i++) {
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int idx = idx2(n_global, 8, i);
|
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printf("%d la %f\n%d ln %f\n", world_rank, h_dzdx_actual[idx], world_rank,
|
|
h_dzdx_numeric[idx]);
|
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}
|
|
for (int i = 0; i < 5; i++) {
|
|
int idx = idx2(n_global, 8, n_local - 1 - i);
|
|
printf("%d ra %f\n%d rn %f\n", world_rank, h_dzdx_actual[idx], world_rank,
|
|
h_dzdx_numeric[idx]);
|
|
}
|
|
*/
|
|
|
|
double err_norm = diff_norm(q, dzdx_size, h_dzdx_numeric, h_dzdx_actual);
|
|
|
|
printf("%d/%d [%d:0x%08x] err_norm = %.8f\n", world_rank, world_size,
|
|
device_id, vendor_id, err_norm);
|
|
|
|
MPI_Finalize();
|
|
|
|
return EXIT_SUCCESS;
|
|
}
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