4a62e6a7e1
May not be minimal. Wow, thanks for the fast turnaround, appreciate the help.
111 lines
3.1 KiB
C++
111 lines
3.1 KiB
C++
// Copyright 2004 The Trustees of Indiana University.
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// Use, modification and distribution is subject to the Boost Software
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// License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at
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// http://www.boost.org/LICENSE_1_0.txt)
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// Authors: Douglas Gregor
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// Andrew Lumsdaine
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#include <boost/graph/use_mpi.hpp>
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#include <boost/throw_exception.hpp>
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#include <boost/serialization/vector.hpp>
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#include <boost/graph/distributed/page_rank.hpp>
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#include <boost/test/minimal.hpp>
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#include <boost/graph/distributed/adjacency_list.hpp>
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#include <boost/graph/distributed/mpi_process_group.hpp>
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#include <boost/test/minimal.hpp>
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#include <vector>
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#include <iostream>
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#include <stdlib.h>
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#ifdef BOOST_NO_EXCEPTIONS
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void
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boost::throw_exception(std::exception const& ex)
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{
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std::cout << ex.what() << std::endl;
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abort();
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}
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#endif
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using namespace boost;
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using boost::graph::distributed::mpi_process_group;
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bool close_to(double x, double y)
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{
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double diff = x - y;
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if (diff < 0) diff = -diff;
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double base = (y == 0? x : y);
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if (base != 0) return diff / base < 0.01;
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else return true;
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}
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// Make convenient labels for the vertices
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enum vertex_id_t { A, B, C, D, N };
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void test_distributed_page_rank(int iterations)
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{
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using namespace boost::graph;
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// create a typedef for the Graph type
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typedef adjacency_list<vecS,
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distributedS<mpi_process_group, vecS>,
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bidirectionalS
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> Graph;
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typedef graph_traits<Graph>::vertex_descriptor vertex_descriptor;
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// writing out the edges in the graph
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typedef std::pair<int, int> Edge;
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Edge edge_array[] =
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{ Edge(A,B), Edge(A,C), Edge(B,C), Edge(C,A), Edge(D,C) };
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const int num_edges = sizeof(edge_array)/sizeof(edge_array[0]);
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// declare a graph object
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Graph g(edge_array, edge_array + num_edges, N);
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std::vector<double> ranks(num_vertices(g));
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page_rank(g,
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make_iterator_property_map(ranks.begin(),
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get(boost::vertex_index, g)),
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n_iterations(iterations), 0.85, N);
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double local_sum = 0.0;
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for(unsigned int i = 0; i < num_vertices(g); ++i) {
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std::cout << (char)('A' + g.distribution().global(i)) << " = "
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<< ranks[i] << std::endl;
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local_sum += ranks[i];
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}
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double sum=0.;
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boost::mpi::reduce(communicator(g.process_group()),
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local_sum, sum, std::plus<double>(), 0);
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if (process_id(g.process_group()) == 0) {
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std::cout << "Sum = " << sum << "\n\n";
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BOOST_CHECK(close_to(sum, 4)); // 1 when alpha=0
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}
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// double expected_ranks0[N] = {0.400009, 0.199993, 0.399998, 0.0};
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double expected_ranks[N] = {1.49011, 0.783296, 1.5766, 0.15};
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for (int i = 0; i < N; ++i) {
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vertex_descriptor v = vertex(i, g);
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if (v != Graph::null_vertex()
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&& owner(v) == process_id(g.process_group())) {
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BOOST_CHECK(close_to(ranks[local(v)], expected_ranks[i]));
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}
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}
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}
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int test_main(int argc, char* argv[])
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{
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mpi::environment env(argc, argv);
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int iterations = 50;
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if (argc > 1) {
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iterations = atoi(argv[1]);
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}
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test_distributed_page_rank(iterations);
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return 0;
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}
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