add vertex permutation

kagen/generators/generator.cpp

@@ -8,6 +8,7 @@
 #include "kagen/edgeweight_generators/voiding_generator.h"
 #include "kagen/kagen.h"
 #include "kagen/tools/converter.h"
+#include "kagen/tools/random_permutation.h"
 #include "kagen/vertexweight_generators/default_generator.h"
 #include "kagen/vertexweight_generators/uniform_random_generator.h"
 #include "kagen/vertexweight_generators/vertex_weight_generator.h"
@@ -84,6 +85,218 @@ void Generator::GenerateEdgeWeights(EdgeWeightConfig weight_config, MPI_Comm com
     }
 }
 
+namespace {
+template <typename Permutator>
+auto ApplyPermutationAndComputeSendBuffersEdgeList(
+    const Graph& graph, const std::vector<VertexRange>& recv_ranges, Permutator&& permute) {
+    int rank;
+    MPI_Comm_rank(MPI_COMM_WORLD, &rank);
+
+    Edgelist edges = graph.edges;
+    for (auto& [src, dst]: edges) {
+        src = permute(src);
+        dst = permute(dst);
+    }
+    std::unordered_map<PEID, std::vector<SInt>>  send_buffers;
+    std::unordered_map<PEID, std::vector<SSInt>> edge_weights_send_buffers;
+
+    bool has_edge_weights = graph.NumberOfLocalEdges() == 0 || !graph.edge_weights.empty();
+
+    for (std::size_t i = 0; i < edges.size(); ++i) {
+        const auto& [src, dst]               = edges[i];
+        const PEID          target_pe        = FindPEInRange(src, recv_ranges);
+        std::vector<SInt>&  send_buf         = send_buffers[target_pe];
+        std::vector<SSInt>& weights_send_buf = edge_weights_send_buffers[target_pe];
+        send_buf.push_back(src);
+        send_buf.push_back(dst);
+        // [Permuted_Src_Id, Degree, EdgeWeights]
+        if (has_edge_weights) {
+            weights_send_buf.push_back(graph.edge_weights[i]);
+        }
+    }
+    return std::make_tuple(std::move(send_buffers), std::move(edge_weights_send_buffers));
+}
+template <typename Permutator>
+auto ApplyPermutationAndComputeSendBuffersCSR(
+    const Graph& graph, const std::vector<VertexRange>& recv_ranges, Permutator&& permute) {
+    AdjncyArray permuted_adjncy = graph.adjncy;
+
+    for (auto& edge: permuted_adjncy) {
+        edge = permute(edge);
+    }
+
+    std::unordered_map<PEID, std::vector<SInt>>  send_buffers;
+    std::unordered_map<PEID, std::vector<SSInt>> edge_weights_send_buffers;
+
+    bool has_edge_weights = graph.NumberOfLocalEdges() == 0 || !graph.edge_weights.empty();
+
+    for (std::size_t i = 0; i + 1 < graph.xadj.size(); ++i) {
+        const SInt          degree             = graph.xadj[i + 1] - graph.xadj[i];
+        const SInt          global_id          = graph.vertex_range.first + i;
+        const SInt          permuted_global_id = permute(global_id);
+        const PEID          target_pe          = FindPEInRange(permuted_global_id, recv_ranges);
+        std::vector<SInt>&  send_buf           = send_buffers[target_pe];
+        std::vector<SSInt>& weights_send_buf   = edge_weights_send_buffers[target_pe];
+        auto                edge_begin_offset  = graph.xadj[i];
+        auto                edge_end_offset    = graph.xadj[i + 1];
+        // [Permuted_Src_Id, Degree, [Permuted_Dst_Ids]] with #Permuted_Dst_Ids = Degree
+        send_buf.push_back(permuted_global_id);
+        send_buf.push_back(degree);
+        send_buf.insert(
+            send_buf.end(), permuted_adjncy.begin() + edge_begin_offset, permuted_adjncy.begin() + edge_end_offset);
+        // [Permuted_Src_Id, Degree, EdgeWeights]
+        if (has_edge_weights) {
+            weights_send_buf.push_back(permuted_global_id);
+            weights_send_buf.push_back(degree);
+            weights_send_buf.insert(
+                weights_send_buf.end(), graph.edge_weights.begin() + edge_begin_offset,
+                graph.edge_weights.begin() + edge_end_offset);
+        }
+    }
+    return std::make_tuple(std::move(send_buffers), std::move(edge_weights_send_buffers));
+}
+
+template <typename Permutator>
+auto ApplyPermutationAndComputeSendBuffers(
+    const Graph& graph, const std::vector<VertexRange>& recv_ranges, Permutator&& permutator) {
+    switch (graph.representation) {
+        case GraphRepresentation::EDGE_LIST:
+            return ApplyPermutationAndComputeSendBuffersEdgeList(
+                graph, recv_ranges, std::forward<Permutator>(permutator));
+        case GraphRepresentation::CSR:
+            return ApplyPermutationAndComputeSendBuffersCSR(graph, recv_ranges, std::forward<Permutator>(permutator));
+        default:
+            throw std::runtime_error("Unexpected graph representation type.");
+    }
+}
+
+inline auto ConstructPermutedGraphCSR(
+    VertexRange recv_range, const std::vector<SInt>& recv_edges, const std::vector<SSInt>& recv_edge_weights) {
+    std::size_t       num_local_vertices = recv_range.second - recv_range.first;
+    std::vector<SInt> degree_count(num_local_vertices, 0);
+
+    // scan received data for degrees
+    for (std::size_t cur_pos = 0; cur_pos < recv_edges.size();) {
+        const SInt src_id                       = recv_edges[cur_pos];
+        const SInt degree                       = recv_edges[cur_pos + 1];
+        degree_count[src_id - recv_range.first] = degree;
+        // skip edges
+        cur_pos += 1 + degree + 1;
+    }
+    XadjArray xadj(num_local_vertices + 1, 0);
+    // compute xadj array for received graph
+    std::exclusive_scan(degree_count.begin(), degree_count.end(), xadj.begin(), SInt{0});
+    xadj.back() = degree_count.back() + xadj[num_local_vertices - 1];
+
+    // compute adjncy for received graph
+    const std::size_t num_local_edges = xadj.back();
+    XadjArray         adjncy(num_local_edges);
+    for (std::size_t cur_pos = 0; cur_pos < recv_edges.size();) {
+        const SInt global_src_id = recv_edges[cur_pos];
+        const SInt degree        = recv_edges[cur_pos + 1];
+        const SInt local_src_id  = global_src_id - recv_range.first;
+        std::copy_n(recv_edges.begin() + cur_pos + 2, degree, adjncy.begin() + xadj[local_src_id]);
+        // forward to next received src vertex
+        cur_pos += 1 + degree + 1;
+    }
+    // compute edge weights for received graph
+    EdgeWeights edge_weights(num_local_edges);
+    if (!recv_edge_weights.empty()) {
+        for (std::size_t cur_pos = 0; cur_pos < recv_edge_weights.size();) {
+            const SInt global_src_id = static_cast<SInt>(recv_edge_weights[cur_pos]);
+            const SInt degree        = static_cast<SInt>(recv_edge_weights[cur_pos + 1]);
+            const SInt local_src_id  = global_src_id - recv_range.first;
+            std::copy_n(recv_edge_weights.begin() + cur_pos + 2, degree, edge_weights.begin() + xadj[local_src_id]);
+            // forward to next received src vertex
+            cur_pos += 1 + degree + 1;
+        }
+    }
+
+    // TODO handle vertex weights
+    return std::make_tuple(std::move(xadj), std::move(adjncy), std::move(edge_weights));
+}
+inline auto ConstructPermutedGraphEdgeList(
+    VertexRange recv_range, const std::vector<SInt>& recv_edges, const std::vector<SSInt>& recv_edge_weights) {
+    std::size_t       num_local_vertices = recv_range.second - recv_range.first;
+    std::vector<SInt> degree(num_local_vertices, 0);
+    int               rank;
+    MPI_Comm_rank(MPI_COMM_WORLD, &rank);
+    for (std::size_t i = 0; i < recv_edges.size(); i += 2) {
+        const auto src = recv_edges[i];
+        ++degree[src - recv_range.first];
+    }
+    std::vector<SInt> write_idx(num_local_vertices);
+    std::exclusive_scan(degree.begin(), degree.end(), write_idx.begin(), SInt{0});
+    Edgelist    edgelist(recv_edges.size() / 2); // edges are sent flat - not as pairs
+    EdgeWeights edge_weights(recv_edge_weights.size());
+    for (std::size_t i = 0; i < recv_edges.size(); i += 2) {
+        const auto src          = recv_edges[i];
+        const auto dst          = recv_edges[i + 1];
+        const auto local_src_id = src - recv_range.first;
+        const auto idx          = write_idx[local_src_id];
+        edgelist[idx]           = std::make_pair(src, dst);
+        if (!edge_weights.empty()) {
+            edge_weights[idx] = recv_edge_weights[i / 2];
+        }
+        ++write_idx[local_src_id];
+    }
+    return std::make_tuple(std::move(edgelist), std::move(edge_weights));
+}
+} // namespace
+
+void Generator::PermuteVertices(const PGeneratorConfig& config, MPI_Comm comm) {
+    if (!graph_.vertex_weights.empty())
+        throw std::runtime_error(
+            "Graph is vertex weight but this is not yet supported by the vertex permutation routine!");
+
+#ifdef KAGEN_XXHASH_FOUND
+    int size = -1;
+    int rank = -1;
+    MPI_Comm_rank(comm, &rank);
+    MPI_Comm_size(comm, &size);
+
+    auto permutator = random_permutation::FeistelPseudoRandomPermutation::buildPermutation(config.n - 1, 0);
+    auto permute    = [&permutator](SInt v) {
+        return permutator.f(v);
+    };
+
+    // all PE get n / size vertices
+    // the first n modulo size PEs obtain one additional vertices.
+    const SInt vertices_per_pe             = config.n / size;
+    const PEID num_pe_with_additional_node = config.n % size;
+    const bool has_pe_additional_node      = rank < num_pe_with_additional_node;
+    const SInt begin_vertices              = std::min(num_pe_with_additional_node, rank) + rank * vertices_per_pe;
+    const SInt end_vertices                = begin_vertices + vertices_per_pe + has_pe_additional_node;
+
+    VertexRange              recv_range{begin_vertices, end_vertices};
+    std::vector<VertexRange> recv_ranges = AllgatherVertexRange(recv_range, comm);
+
+    auto [send_buffers, edge_weight_send_buffers] = ApplyPermutationAndComputeSendBuffers(graph_, recv_ranges, permute);
+    auto recv_edges        = ExchangeMessageBuffers(std::move(send_buffers), KAGEN_MPI_SINT, comm);
+    auto recv_edge_weights = ExchangeMessageBuffers(std::move(edge_weight_send_buffers), KAGEN_MPI_SSINT, comm);
+
+    switch (desired_representation_) {
+        case GraphRepresentation::EDGE_LIST: {
+            auto [permuted_edgelist, permuted_edge_weights] =
+                ConstructPermutedGraphEdgeList(recv_range, recv_edges, recv_edge_weights);
+            graph_.edges        = std::move(permuted_edgelist);
+            graph_.edge_weights = std::move(permuted_edge_weights);
+            break;
+        }
+        case GraphRepresentation::CSR: {
+            auto [permuted_xadj, permuted_adjncy, permuted_edge_weights] =
+                ConstructPermutedGraphCSR(recv_range, recv_edges, recv_edge_weights);
+
+            graph_.xadj         = std::move(permuted_xadj);
+            graph_.adjncy       = std::move(permuted_adjncy);
+            graph_.edge_weights = std::move(permuted_edge_weights);
+            break;
+        }
+    }
+    SetVertexRange(recv_range);
+#endif // KAGEN_XXHASH_FOUND
+}
+
 std::unique_ptr<kagen::VertexWeightGenerator>
 CreateVertexWeightGenerator(const VertexWeightConfig weight_config, MPI_Comm comm) {
     switch (weight_config.generator_type) {

kagen/generators/generator.h

@@ -25,6 +25,8 @@ class Generator {
 
     Graph Take();
 
+    virtual void PermuteVertices(const PGeneratorConfig& config, MPI_Comm comm);
+
 protected:
     virtual void GenerateEdgeList() = 0;
 

kagen/generators/path/path_directed.h

@@ -16,6 +16,9 @@ class PathDirected : public virtual Generator, private EdgeListOnlyGenerator {
 public:
     PathDirected(const PGeneratorConfig& config, const PEID rank, const PEID size);
 
+    void PermuteVertices(const PGeneratorConfig& /*config*/, MPI_Comm /*comm*/)
+        override { /* do nothing as paths can be permutet without communication during construction */ }
+
 protected:
     void GenerateEdgeList() final;
 

kagen/in_memory_facade.cpp

@@ -125,6 +125,9 @@ Graph GenerateInMemory(const PGeneratorConfig& config_template, GraphRepresentat
                       << ")" << std::endl;
         }
     }
+    if (config.permute) {
+        generator->PermuteVertices(config, comm);
+    }
 
     auto graph = generator->Take();
 

kagen/kagen.cpp

@@ -461,6 +461,10 @@ void KaGen::EnableAdvancedStatistics() {
     config_->quiet            = false;
 }
 
+void KaGen::EnableVertexPermutation() {
+    config_->permute = true;
+}
+
 void KaGen::ConfigureEdgeWeightGeneration(
     EdgeWeightGeneratorType generator, SInt weight_range_begin, SInt weight_range_end) {
     config_->edge_weights.generator_type     = generator;

kagen/kagen.h

@@ -298,6 +298,12 @@ class KaGen {
 
     void EnableAdvancedStatistics();
 
+    /*!
+     * If enabled, KaGen will apply a FeistelPermutation to the vertices of the generated graph and rearrange vertices/edges accordingly.
+     * This will remove locality from the generated graph.
+     */
+    void EnableVertexPermutation();
+
     /*!
      * KaGen will generate edge weights according to the given configuration.
      *

kagen/tools/utils.h

@@ -55,7 +55,7 @@ T FloorLog2(const T arg) {
     return log2 - 1;
 }
 
-inline PEID FindPEInRange(const SInt node, const std::vector<std::pair<SInt, SInt>>& ranges) {
+inline PEID FindPEInRange(const SInt node, const std::vector<VertexRange>& ranges) {
     for (std::size_t i = 0; i < ranges.size(); ++i) {
         const auto& [local_from, local_to] = ranges[i];
 
@@ -67,6 +67,16 @@ inline PEID FindPEInRange(const SInt node, const std::vector<std::pair<SInt, SIn
     return -1;
 }
 
+inline PEID FindPEInRangeWithBinarySearch(const SInt node, const std::vector<VertexRange>& ranges) {
+    auto it = std::upper_bound(ranges.begin(), ranges.end(), node, [](SInt value, const std::pair<SInt, SInt>& range) {
+        return range.first <= value && value < range.second;
+    });
+    if (it == ranges.end()) {
+        return -1;
+    }
+    return std::distance(ranges.begin(), it);
+}
+
 inline std::vector<VertexRange> AllgatherVertexRange(const VertexRange vertex_range, MPI_Comm comm) {
     int rank, size;
     MPI_Comm_rank(comm, &rank);
@@ -118,8 +128,7 @@ std::vector<T> ExchangeMessageBuffers(
 }
 
 template <typename Comparator = std::less<Edgelist::value_type>>
-inline void
-SortEdgesAndWeights(Edgelist& edges, EdgeWeights& edge_weights, Comparator cmp = Comparator{}) {
+inline void SortEdgesAndWeights(Edgelist& edges, EdgeWeights& edge_weights, Comparator cmp = Comparator{}) {
     if (!std::is_sorted(edges.begin(), edges.end(), cmp)) {
         const SInt num_local_edges = edges.size();
         // If we have edge weights, sort them the same way as the edges
@@ -145,7 +154,7 @@ inline void RemoveDuplicates(Edgelist& edges, EdgeWeights& edge_weights) {
     const SInt num_local_edges = edges.size();
     if (!edge_weights.empty()) {
         // TODO replace with zip view once C++23 is enabled
-        using Edge = typename Edgelist::value_type;
+        using Edge   = typename Edgelist::value_type;
         using Weight = typename EdgeWeights::value_type;
 
         std::vector<std::pair<Edge, Weight>> edge_weights_zip;
@@ -159,7 +168,7 @@ inline void RemoveDuplicates(Edgelist& edges, EdgeWeights& edge_weights) {
             return lhs.first == rhs.first;
         });
         edge_weights_zip.erase(it, edge_weights_zip.end());
-        for (const auto& [edge, weight] : edge_weights_zip) {
+        for (const auto& [edge, weight]: edge_weights_zip) {
             edges.push_back(edge);
             edge_weights.push_back(weight);
         }

tests/CMakeLists.txt

@@ -59,3 +59,7 @@ kagen_add_test(test_edge_weights
         FILES edge_weights/edge_generation_test.cpp
         CORES 1 2 4)
 
+kagen_add_test(test_permutation
+        FILES permutation/permutation_test.cpp
+        CORES 1 2 4)
+