Graph Algorithms#
Warning
doxygenfunction: Unable to resolve function “gunrock::bfs::run” with arguments None in doxygen xml output for project “gunrock” from directory: ./_doxygen/xml. Potential matches:
- template<typename graph_t> float run(graph_t &G, param_t<typename graph_t::vertex_type> ¶m, result_t<typename graph_t::vertex_type> &result, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
- template<typename graph_t> float run(graph_t &G, typename graph_t::vertex_type &single_source, typename graph_t::vertex_type *distances, typename graph_t::vertex_type *predecessors, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
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template<typename graph_t>
float gunrock::bc::run(graph_t &G, typename graph_t::weight_type *bc_values)# Run Betweenness Centrality algorithm on all vertices in the graph to compute BC values for the entire graph.
- Template Parameters:
graph_t – Graph type.
- Parameters:
G – Graph object.
bc_values – Output array of betweenness centrality values for each vertex.
- Returns:
float Sum of execution times for running the algorithm on all vertices.
Warning
doxygenfunction: Unable to resolve function “gunrock::color::run” with arguments None in doxygen xml output for project “gunrock” from directory: ./_doxygen/xml. Potential matches:
- template<typename graph_t> float run(graph_t &G, param_t ¶m, result_t<typename graph_t::vertex_type> &result, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
- template<typename graph_t> float run(graph_t &G, typename graph_t::vertex_type *colors, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
Warning
doxygenfunction: Unable to resolve function “gunrock::geo::run” with arguments None in doxygen xml output for project “gunrock” from directory: ./_doxygen/xml. Potential matches:
- template<typename graph_t> float run(graph_t &G, coordinates_t *coordinates, const unsigned int total_iterations, const unsigned int spatial_iterations = 1000, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
- template<typename graph_t> float run(graph_t &G, param_t ¶m, result_t &result, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
Run HITS (Hyperlink-Induced Topic Search) algorithm on a given graph to compute authority and hub scores for each vertex.
- Template Parameters:
graph_t – Graph type.
result_t – Result type containing authority and hub score arrays.
- Parameters:
G – Graph object.
max_iterations – Maximum number of iterations to run the algorithm.
result – Algorithm results containing authority and hub scores.
context – Device context.
- Returns:
float Time taken to run the algorithm.
Warning
doxygenfunction: Unable to resolve function “gunrock::kcore::run” with arguments None in doxygen xml output for project “gunrock” from directory: ./_doxygen/xml. Potential matches:
- template<typename graph_t> float run(graph_t &G, int *k_cores, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
- template<typename graph_t> float run(graph_t &G, param_t ¶m, result_t<int> &result, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
Warning
doxygenfunction: Unable to resolve function “gunrock::mst::run” with arguments None in doxygen xml output for project “gunrock” from directory: ./_doxygen/xml. Potential matches:
- template<typename graph_t> float run(graph_t &G, param_t<typename graph_t::vertex_type> ¶m, result_t<typename graph_t::vertex_type, typename graph_t::weight_type> &result, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
- template<typename graph_t> float run(graph_t &G, typename graph_t::weight_type *mst_weight, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
Warning
doxygenfunction: Unable to resolve function “gunrock::ppr::run” with arguments None in doxygen xml output for project “gunrock” from directory: ./_doxygen/xml. Potential matches:
- template<typename graph_t> float run(graph_t &G, param_t<typename graph_t::vertex_type, typename graph_t::weight_type> ¶m, result_t<typename graph_t::weight_type> &result, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
- template<typename graph_t> float run(graph_t &G, typename graph_t::vertex_type &seed, typename graph_t::weight_type *p, typename graph_t::weight_type &alpha, typename graph_t::weight_type &epsilon, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
Warning
doxygenfunction: Unable to resolve function “gunrock::pr::run” with arguments None in doxygen xml output for project “gunrock” from directory: ./_doxygen/xml. Potential matches:
- template<typename graph_t> float run(graph_t &G, param_t<typename graph_t::weight_type> ¶m, result_t<typename graph_t::weight_type> &result, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
- template<typename graph_t> float run(graph_t &G, typename graph_t::weight_type alpha, typename graph_t::weight_type tol, typename graph_t::weight_type *p, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
Run Sparse Matrix-Matrix Multiplication (SpGEMM) algorithm to compute the product C = A * B where A and B are sparse matrices represented as graphs.
- Template Parameters:
a_graph_t – Type of the first input graph (matrix A).
b_graph_t – Type of the second input graph (matrix B).
csr_t – Type of the output CSR matrix (result C).
- Parameters:
A – First input graph representing sparse matrix A.
B – Second input graph representing sparse matrix B.
C – Output CSR matrix to store the result C = A * B.
context – Device context.
- Returns:
float Time taken to run the algorithm.
Warning
doxygenfunction: Unable to resolve function “gunrock::spmv::run” with arguments None in doxygen xml output for project “gunrock” from directory: ./_doxygen/xml. Potential matches:
- template<typename graph_t> float run(graph_t &G, param_t<typename graph_t::weight_type> ¶m, result_t<typename graph_t::weight_type> &result, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
- template<typename graph_t> float run(graph_t &G, typename graph_t::weight_type *x, typename graph_t::weight_type *y, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
Warning
doxygenfunction: Unable to resolve function “gunrock::sssp::run” with arguments None in doxygen xml output for project “gunrock” from directory: ./_doxygen/xml. Potential matches:
- template<typename graph_t> float run(graph_t &G, param_t<typename graph_t::vertex_type> ¶m, result_t<typename graph_t::vertex_type, typename graph_t::weight_type> &result, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
- template<typename graph_t> float run(graph_t &G, typename graph_t::vertex_type &single_source, typename graph_t::weight_type *distances, typename graph_t::vertex_type *predecessors, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
Warning
doxygenfunction: Unable to resolve function “gunrock::tc::run” with arguments None in doxygen xml output for project “gunrock” from directory: ./_doxygen/xml. Potential matches:
- template<typename graph_t> float run(graph_t &G, bool reduce_all_triangles, typename graph_t::vertex_type *vertex_triangles_count, std::size_t *total_triangles_count, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))
- template<typename graph_t> float run(graph_t &G, param_t<typename graph_t::vertex_type> ¶m, result_t<typename graph_t::vertex_type> &result, std::shared_ptr<gcuda::multi_context_t> context = std::shared_ptr<gcuda::multi_context_t>(new gcuda::multi_context_t(0)))