Generalize manyToManySearch and remove duplications

This commit is contained in:
Michael Krasnyk 2017-06-30 23:45:00 +02:00 committed by Patrick Niklaus
parent 517cb5f094
commit 3534203083
3 changed files with 79 additions and 204 deletions

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@ -157,7 +157,8 @@ RoutingAlgorithms<Algorithm>::ManyToManySearch(const std::vector<PhantomNode> &p
const std::vector<std::size_t> &source_indices,
const std::vector<std::size_t> &target_indices) const
{
return manyToManySearch(heaps, facade, phantom_nodes, source_indices, target_indices);
return routing_algorithms::manyToManySearch(
heaps, facade, phantom_nodes, source_indices, target_indices);
}
template <typename Algorithm>

View File

@ -16,25 +16,13 @@ namespace engine
namespace routing_algorithms
{
namespace ch
{
template <typename Algorithm>
std::vector<EdgeWeight>
manyToManySearch(SearchEngineData<Algorithm> &engine_working_data,
const datafacade::ContiguousInternalMemoryDataFacade<Algorithm> &facade,
const std::vector<PhantomNode> &phantom_nodes,
const std::vector<std::size_t> &source_indices,
const std::vector<std::size_t> &target_indices);
} // namespace ch
namespace mld
{
std::vector<EdgeWeight>
manyToManySearch(SearchEngineData<Algorithm> &engine_working_data,
const datafacade::ContiguousInternalMemoryDataFacade<Algorithm> &facade,
const std::vector<PhantomNode> &phantom_nodes,
const std::vector<std::size_t> &source_indices,
const std::vector<std::size_t> &target_indices);
} // namespace mld
} // namespace routing_algorithms
} // namespace engine

View File

@ -27,20 +27,46 @@ struct NodeBucket
{
}
};
}
// FIXME This should be replaced by an std::unordered_multimap, though this needs benchmarking
using SearchSpaceWithBuckets = std::unordered_map<NodeID, std::vector<NodeBucket>>;
namespace ch
{
inline bool
addLoopWeight(const datafacade::ContiguousInternalMemoryDataFacade<ch::Algorithm> &facade,
const NodeID node,
EdgeWeight &weight,
EdgeDuration &duration)
{ // Special case for CH when contractor creates a loop edge node->node
BOOST_ASSERT(weight < 0);
const auto loop_weight = ch::getLoopWeight<false>(facade, node);
if (loop_weight != INVALID_EDGE_WEIGHT)
{
const auto new_weight_with_loop = weight + loop_weight;
if (new_weight_with_loop >= 0)
{
weight = new_weight_with_loop;
duration += ch::getLoopWeight<true>(facade, node);
return true;
}
}
// No loop found or adjusted weight is negative
return false;
}
template <bool DIRECTION>
void relaxOutgoingEdges(const datafacade::ContiguousInternalMemoryDataFacade<Algorithm> &facade,
void relaxOutgoingEdges(const datafacade::ContiguousInternalMemoryDataFacade<ch::Algorithm> &facade,
const NodeID node,
const EdgeWeight weight,
const EdgeWeight duration,
typename SearchEngineData<Algorithm>::ManyToManyQueryHeap &query_heap)
const EdgeDuration duration,
typename SearchEngineData<ch::Algorithm>::ManyToManyQueryHeap &query_heap)
{
if (ch::stallAtNode<DIRECTION>(facade, node, weight, query_heap))
{
return;
}
for (auto edge : facade.GetAdjacentEdgeRange(node))
{
const auto &data = facade.GetEdgeData(edge);
@ -70,186 +96,22 @@ void relaxOutgoingEdges(const datafacade::ContiguousInternalMemoryDataFacade<Alg
}
}
void forwardRoutingStep(const datafacade::ContiguousInternalMemoryDataFacade<Algorithm> &facade,
const unsigned row_idx,
const unsigned number_of_targets,
typename SearchEngineData<Algorithm>::ManyToManyQueryHeap &query_heap,
const SearchSpaceWithBuckets &search_space_with_buckets,
std::vector<EdgeWeight> &weights_table,
std::vector<EdgeWeight> &durations_table)
{
const NodeID node = query_heap.DeleteMin();
const EdgeWeight source_weight = query_heap.GetKey(node);
const EdgeWeight source_duration = query_heap.GetData(node).duration;
// check if each encountered node has an entry
const auto bucket_iterator = search_space_with_buckets.find(node);
// iterate bucket if there exists one
if (bucket_iterator != search_space_with_buckets.end())
{
const std::vector<NodeBucket> &bucket_list = bucket_iterator->second;
for (const NodeBucket &current_bucket : bucket_list)
{
// get target id from bucket entry
const unsigned column_idx = current_bucket.target_id;
const EdgeWeight target_weight = current_bucket.weight;
const EdgeWeight target_duration = current_bucket.duration;
auto &current_weight = weights_table[row_idx * number_of_targets + column_idx];
auto &current_duration = durations_table[row_idx * number_of_targets + column_idx];
// check if new weight is better
const EdgeWeight new_weight = source_weight + target_weight;
if (new_weight < 0)
{
const EdgeWeight loop_weight = ch::getLoopWeight<false>(facade, node);
const EdgeWeight new_weight_with_loop = new_weight + loop_weight;
if (loop_weight != INVALID_EDGE_WEIGHT && new_weight_with_loop >= 0)
{
current_weight = std::min(current_weight, new_weight_with_loop);
current_duration = std::min(current_duration,
source_duration + target_duration +
ch::getLoopWeight<true>(facade, node));
}
}
else if (new_weight < current_weight)
{
current_weight = new_weight;
current_duration = source_duration + target_duration;
}
}
}
if (ch::stallAtNode<FORWARD_DIRECTION>(facade, node, source_weight, query_heap))
{
return;
}
relaxOutgoingEdges<FORWARD_DIRECTION>(facade, node, source_weight, source_duration, query_heap);
inline bool addLoopWeight(const datafacade::ContiguousInternalMemoryDataFacade<mld::Algorithm> &,
const NodeID,
EdgeWeight &,
EdgeDuration &)
{ // MLD overlay does not introduce loop edges
return false;
}
void backwardRoutingStep(const datafacade::ContiguousInternalMemoryDataFacade<Algorithm> &facade,
const unsigned column_idx,
typename SearchEngineData<Algorithm>::ManyToManyQueryHeap &query_heap,
SearchSpaceWithBuckets &search_space_with_buckets)
{
const NodeID node = query_heap.DeleteMin();
const EdgeWeight target_weight = query_heap.GetKey(node);
const EdgeWeight target_duration = query_heap.GetData(node).duration;
// store settled nodes in search space bucket
search_space_with_buckets[node].emplace_back(column_idx, target_weight, target_duration);
if (ch::stallAtNode<REVERSE_DIRECTION>(facade, node, target_weight, query_heap))
{
return;
}
relaxOutgoingEdges<REVERSE_DIRECTION>(facade, node, target_weight, target_duration, query_heap);
}
std::vector<EdgeWeight>
manyToManySearch(SearchEngineData<Algorithm> &engine_working_data,
const datafacade::ContiguousInternalMemoryDataFacade<Algorithm> &facade,
const std::vector<PhantomNode> &phantom_nodes,
const std::vector<std::size_t> &source_indices,
const std::vector<std::size_t> &target_indices)
{
const auto number_of_sources =
source_indices.empty() ? phantom_nodes.size() : source_indices.size();
const auto number_of_targets =
target_indices.empty() ? phantom_nodes.size() : target_indices.size();
const auto number_of_entries = number_of_sources * number_of_targets;
std::vector<EdgeWeight> weights_table(number_of_entries, INVALID_EDGE_WEIGHT);
std::vector<EdgeWeight> durations_table(number_of_entries, MAXIMAL_EDGE_DURATION);
engine_working_data.InitializeOrClearManyToManyThreadLocalStorage(facade.GetNumberOfNodes());
auto &query_heap = *(engine_working_data.many_to_many_heap);
SearchSpaceWithBuckets search_space_with_buckets;
unsigned column_idx = 0;
const auto search_target_phantom = [&](const PhantomNode &phantom) {
// clear heap and insert target nodes
query_heap.Clear();
insertTargetInHeap(query_heap, phantom);
// explore search space
while (!query_heap.Empty())
{
backwardRoutingStep(facade, column_idx, query_heap, search_space_with_buckets);
}
++column_idx;
};
// for each source do forward search
unsigned row_idx = 0;
const auto search_source_phantom = [&](const PhantomNode &phantom) {
// clear heap and insert source nodes
query_heap.Clear();
insertSourceInHeap(query_heap, phantom);
// explore search space
while (!query_heap.Empty())
{
forwardRoutingStep(facade,
row_idx,
number_of_targets,
query_heap,
search_space_with_buckets,
weights_table,
durations_table);
}
++row_idx;
};
if (target_indices.empty())
{
for (const auto &phantom : phantom_nodes)
{
search_target_phantom(phantom);
}
}
else
{
for (const auto index : target_indices)
{
const auto &phantom = phantom_nodes[index];
search_target_phantom(phantom);
}
}
if (source_indices.empty())
{
for (const auto &phantom : phantom_nodes)
{
search_source_phantom(phantom);
}
}
else
{
for (const auto index : source_indices)
{
const auto &phantom = phantom_nodes[index];
search_source_phantom(phantom);
}
}
return durations_table;
}
} // namespace ch
// TODO: generalize with CH version
namespace mld
{
template <bool DIRECTION>
void relaxOutgoingEdges(const datafacade::ContiguousInternalMemoryDataFacade<Algorithm> &facade,
const NodeID node,
const EdgeWeight weight,
const EdgeWeight duration,
typename SearchEngineData<Algorithm>::ManyToManyQueryHeap &query_heap)
void relaxOutgoingEdges(
const datafacade::ContiguousInternalMemoryDataFacade<mld::Algorithm> &facade,
const NodeID node,
const EdgeWeight weight,
const EdgeDuration duration,
typename SearchEngineData<mld::Algorithm>::ManyToManyQueryHeap &query_heap)
{
const auto &partition = facade.GetMultiLevelPartition();
const auto &cells = facade.GetCellStorage();
@ -262,8 +124,7 @@ void relaxOutgoingEdges(const datafacade::ContiguousInternalMemoryDataFacade<Alg
{
const auto &cell = cells.GetCell(level, partition.GetCell(level, node));
if (DIRECTION == FORWARD_DIRECTION)
{
// Shortcuts in forward direction
{ // Shortcuts in forward direction
auto destination = cell.GetDestinationNodes().begin();
auto shortcut_durations = cell.GetOutDuration(node);
for (auto shortcut_weight : cell.GetOutWeight(node))
@ -291,8 +152,7 @@ void relaxOutgoingEdges(const datafacade::ContiguousInternalMemoryDataFacade<Alg
BOOST_ASSERT(shortcut_durations.empty());
}
else
{
// Shortcuts in backward direction
{ // Shortcuts in backward direction
auto source = cell.GetSourceNodes().begin();
auto shortcut_durations = cell.GetInDuration(node);
for (auto shortcut_weight : cell.GetInWeight(node))
@ -350,6 +210,7 @@ void relaxOutgoingEdges(const datafacade::ContiguousInternalMemoryDataFacade<Alg
}
}
template <typename Algorithm>
void forwardRoutingStep(const datafacade::ContiguousInternalMemoryDataFacade<Algorithm> &facade,
const unsigned row_idx,
const unsigned number_of_targets,
@ -379,11 +240,21 @@ void forwardRoutingStep(const datafacade::ContiguousInternalMemoryDataFacade<Alg
auto &current_duration = durations_table[row_idx * number_of_targets + column_idx];
// check if new weight is better
const EdgeWeight new_weight = source_weight + target_weight;
if (new_weight >= 0 && new_weight < current_weight)
auto new_weight = source_weight + target_weight;
auto new_duration = source_duration + target_duration;
if (new_weight < 0)
{
if (addLoopWeight(facade, node, new_weight, new_duration))
{
current_weight = std::min(current_weight, new_weight);
current_duration = std::min(current_duration, new_duration);
}
}
else if (new_weight < current_weight)
{
current_weight = new_weight;
current_duration = source_duration + target_duration;
current_duration = new_duration;
}
}
}
@ -391,6 +262,7 @@ void forwardRoutingStep(const datafacade::ContiguousInternalMemoryDataFacade<Alg
relaxOutgoingEdges<FORWARD_DIRECTION>(facade, node, source_weight, source_duration, query_heap);
}
template <typename Algorithm>
void backwardRoutingStep(const datafacade::ContiguousInternalMemoryDataFacade<Algorithm> &facade,
const unsigned column_idx,
typename SearchEngineData<Algorithm>::ManyToManyQueryHeap &query_heap,
@ -405,7 +277,9 @@ void backwardRoutingStep(const datafacade::ContiguousInternalMemoryDataFacade<Al
relaxOutgoingEdges<REVERSE_DIRECTION>(facade, node, target_weight, target_duration, query_heap);
}
}
template <typename Algorithm>
std::vector<EdgeWeight>
manyToManySearch(SearchEngineData<Algorithm> &engine_working_data,
const datafacade::ContiguousInternalMemoryDataFacade<Algorithm> &facade,
@ -498,7 +372,19 @@ manyToManySearch(SearchEngineData<Algorithm> &engine_working_data,
return durations_table;
}
} // namespace mld
template std::vector<EdgeWeight>
manyToManySearch(SearchEngineData<ch::Algorithm> &engine_working_data,
const datafacade::ContiguousInternalMemoryDataFacade<ch::Algorithm> &facade,
const std::vector<PhantomNode> &phantom_nodes,
const std::vector<std::size_t> &source_indices,
const std::vector<std::size_t> &target_indices);
template std::vector<EdgeWeight>
manyToManySearch(SearchEngineData<mld::Algorithm> &engine_working_data,
const datafacade::ContiguousInternalMemoryDataFacade<mld::Algorithm> &facade,
const std::vector<PhantomNode> &phantom_nodes,
const std::vector<std::size_t> &source_indices,
const std::vector<std::size_t> &target_indices);
} // namespace routing_algorithms
} // namespace engine