129 lines
6.1 KiB
HTML
129 lines
6.1 KiB
HTML
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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
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<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
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<meta name="generator" content="Docutils 0.6: http://docutils.sourceforge.net/" />
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<title>Parallel BGL Scalable R-MAT generator</title>
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<link rel="stylesheet" href="../../../../rst.css" type="text/css" />
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<body>
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<div class="document" id="logo-scalable-r-mat-generator">
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<h1 class="title"><a class="reference external" href="http://www.osl.iu.edu/research/pbgl"><img align="middle" alt="Parallel BGL" class="align-middle" src="pbgl-logo.png" /></a> Scalable R-MAT generator</h1>
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<!-- Copyright (C) 2004-2009 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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<pre class="literal-block">
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template<typename ProcessGroup, typename Distribution,
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typename RandomGenerator, typename Graph>
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class scalable_rmat_iterator
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{
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public:
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typedef std::input_iterator_tag iterator_category;
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typedef std::pair<vertices_size_type, vertices_size_type> value_type;
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typedef const value_type& reference;
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typedef const value_type* pointer;
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typedef void difference_type;
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scalable_rmat_iterator();
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scalable_rmat_iterator(ProcessGroup pg, Distribution distrib,
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RandomGenerator& gen, vertices_size_type n,
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edges_size_type m, double a, double b, double c,
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double d, bool permute_vertices = true);
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// Iterator operations
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reference operator*() const;
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pointer operator->() const;
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scalable_rmat_iterator& operator++();
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scalable_rmat_iterator operator++(int);
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bool operator==(const scalable_rmat_iterator& other) const;
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bool operator!=(const scalable_rmat_iterator& other) const;
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};
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</pre>
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<p>This class template implements a generator for R-MAT graphs <a class="citation-reference" href="#czf04" id="id1">[CZF04]</a>,
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suitable for initializing an adjacency_list or other graph structure
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with iterator-based initialization. An R-MAT graph has a scale-free
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distribution w.r.t. vertex degree and is implemented using
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Recursive-MATrix partitioning.</p>
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<div class="section" id="where-defined">
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<h1>Where Defined</h1>
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<p><<tt class="docutils literal"><span class="pre">boost/graph/rmat_graph_generator.hpp</span></tt>></p>
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</div>
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<div class="section" id="constructors">
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<h1>Constructors</h1>
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<pre class="literal-block">
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scalable_rmat_iterator();
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</pre>
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<p>Constructs a past-the-end iterator.</p>
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<pre class="literal-block">
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scalable_rmat_iterator(ProcessGroup pg, Distribution distrib,
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RandomGenerator& gen, vertices_size_type n,
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edges_size_type m, double a, double b, double c,
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double d, bool permute_vertices = true);
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</pre>
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<p>Constructs an R-MAT generator iterator that creates a graph with <tt class="docutils literal"><span class="pre">n</span></tt>
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vertices and <tt class="docutils literal"><span class="pre">m</span></tt> edges. Inside the <tt class="docutils literal"><span class="pre">scalable_rmat_iterator</span></tt>
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processes communicate using <tt class="docutils literal"><span class="pre">pg</span></tt> to generate their local edges as
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defined by <tt class="docutils literal"><span class="pre">distrib</span></tt>. <tt class="docutils literal"><span class="pre">a</span></tt>, <tt class="docutils literal"><span class="pre">b</span></tt>, <tt class="docutils literal"><span class="pre">c</span></tt>, and <tt class="docutils literal"><span class="pre">d</span></tt> represent the
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probability that a generated edge is placed of each of the 4 quadrants
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of the partitioned adjacency matrix. Probabilities are drawn from the
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random number generator <tt class="docutils literal"><span class="pre">gen</span></tt>. Vertex indices are permuted to
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eliminate locality when <tt class="docutils literal"><span class="pre">permute_vertices</span></tt> is true.</p>
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</div>
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<div class="section" id="example">
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<h1>Example</h1>
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<pre class="literal-block">
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#include <boost/graph/distributed/mpi_process_group.hpp>
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#include <boost/graph/compressed_sparse_row_graph.hpp>
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#include <boost/graph/rmat_graph_generator.hpp>
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#include <boost/random/linear_congruential.hpp>
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using boost::graph::distributed::mpi_process_group;
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typedef compressed_sparse_row_graph<directedS, no_property, no_property, no_property,
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distributedS<mpi_process_group> > Graph;
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typedef boost::scalable_rmat_iterator<boost::minstd_rand, Graph> RMATGen;
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int main()
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{
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boost::minstd_rand gen;
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mpi_process_group pg;
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int N = 100;
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boost::parallel::variant_distribution<ProcessGroup> distrib
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= boost::parallel::block(pg, N);
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// Create graph with 100 nodes and 400 edges
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Graph g(RMATGen(pg, distrib, gen, N, 400, 0.57, 0.19, 0.19, 0.05),
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RMATGen(), N, pg, distrib);
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return 0;
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}
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</pre>
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</div>
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<div class="section" id="bibliography">
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<h1>Bibliography</h1>
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<table class="docutils citation" frame="void" id="czf04" rules="none">
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<colgroup><col class="label" /><col /></colgroup>
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<tbody valign="top">
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<tr><td class="label"><a class="fn-backref" href="#id1">[CZF04]</a></td><td>D Chakrabarti, Y Zhan, and C Faloutsos. R-MAT: A Recursive
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Model for Graph Mining. In Proceedings of 4th International Conference
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on Data Mining, pages 442--446, 2004.</td></tr>
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</tbody>
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</table>
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<hr class="docutils" />
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<p>Copyright (C) 2009 The Trustees of Indiana University.</p>
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<p>Authors: Nick Edmonds, Brian Barrett, and Andrew Lumsdaine</p>
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</div>
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</div>
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<div class="footer">
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<hr class="footer" />
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Generated on: 2009-05-31 00:21 UTC.
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Generated by <a class="reference external" href="http://docutils.sourceforge.net/">Docutils</a> from <a class="reference external" href="http://docutils.sourceforge.net/rst.html">reStructuredText</a> source.
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