+ typedef PBQP::Graph<RegAllocSolverImpl> Graph;
+
+ RegAllocSolverImpl(Graph &G) : G(G) {}
+
+ Solution solve() {
+ G.setSolver(*this);
+ Solution S;
+ setup();
+ S = backpropagate(G, reduce());
+ G.unsetSolver();
+ return S;
+ }
+
+ void handleAddNode(NodeId NId) {
+ G.getNodeMetadata(NId).setup(G.getNodeCosts(NId));
+ }
+ void handleRemoveNode(NodeId NId) {}
+ void handleSetNodeCosts(NodeId NId, const Vector& newCosts) {}
+
+ void handleAddEdge(EdgeId EId) {
+ handleReconnectEdge(EId, G.getEdgeNode1Id(EId));
+ handleReconnectEdge(EId, G.getEdgeNode2Id(EId));
+ }
+
+ void handleRemoveEdge(EdgeId EId) {
+ handleDisconnectEdge(EId, G.getEdgeNode1Id(EId));
+ handleDisconnectEdge(EId, G.getEdgeNode2Id(EId));
+ }
+
+ void handleDisconnectEdge(EdgeId EId, NodeId NId) {
+ NodeMetadata& NMd = G.getNodeMetadata(NId);
+ const MatrixMetadata& MMd = G.getEdgeCosts(EId).getMetadata();
+ NMd.handleRemoveEdge(MMd, NId == G.getEdgeNode2Id(EId));
+ if (G.getNodeDegree(NId) == 3) {
+ // This node is becoming optimally reducible.
+ moveToOptimallyReducibleNodes(NId);
+ } else if (NMd.getReductionState() ==
+ NodeMetadata::NotProvablyAllocatable &&
+ NMd.isConservativelyAllocatable()) {
+ // This node just became conservatively allocatable.
+ moveToConservativelyAllocatableNodes(NId);
+ }
+ }
+
+ void handleReconnectEdge(EdgeId EId, NodeId NId) {
+ NodeMetadata& NMd = G.getNodeMetadata(NId);
+ const MatrixMetadata& MMd = G.getEdgeCosts(EId).getMetadata();
+ NMd.handleAddEdge(MMd, NId == G.getEdgeNode2Id(EId));
+ }
+
+ void handleSetEdgeCosts(EdgeId EId, const Matrix& NewCosts) {
+ handleRemoveEdge(EId);
+
+ NodeId N1Id = G.getEdgeNode1Id(EId);
+ NodeId N2Id = G.getEdgeNode2Id(EId);
+ NodeMetadata& N1Md = G.getNodeMetadata(N1Id);
+ NodeMetadata& N2Md = G.getNodeMetadata(N2Id);
+ const MatrixMetadata& MMd = NewCosts.getMetadata();
+ N1Md.handleAddEdge(MMd, N1Id != G.getEdgeNode1Id(EId));
+ N2Md.handleAddEdge(MMd, N2Id != G.getEdgeNode1Id(EId));
+ }
+
+private:
+
+ void removeFromCurrentSet(NodeId NId) {
+ switch (G.getNodeMetadata(NId).getReductionState()) {
+ case NodeMetadata::Unprocessed: break;
+ case NodeMetadata::OptimallyReducible:
+ assert(OptimallyReducibleNodes.find(NId) !=
+ OptimallyReducibleNodes.end() &&
+ "Node not in optimally reducible set.");
+ OptimallyReducibleNodes.erase(NId);
+ break;
+ case NodeMetadata::ConservativelyAllocatable:
+ assert(ConservativelyAllocatableNodes.find(NId) !=
+ ConservativelyAllocatableNodes.end() &&
+ "Node not in conservatively allocatable set.");
+ ConservativelyAllocatableNodes.erase(NId);
+ break;
+ case NodeMetadata::NotProvablyAllocatable:
+ assert(NotProvablyAllocatableNodes.find(NId) !=
+ NotProvablyAllocatableNodes.end() &&
+ "Node not in not-provably-allocatable set.");
+ NotProvablyAllocatableNodes.erase(NId);
+ break;
+ }
+ }
+
+ void moveToOptimallyReducibleNodes(NodeId NId) {
+ removeFromCurrentSet(NId);
+ OptimallyReducibleNodes.insert(NId);
+ G.getNodeMetadata(NId).setReductionState(
+ NodeMetadata::OptimallyReducible);
+ }
+
+ void moveToConservativelyAllocatableNodes(NodeId NId) {
+ removeFromCurrentSet(NId);
+ ConservativelyAllocatableNodes.insert(NId);
+ G.getNodeMetadata(NId).setReductionState(
+ NodeMetadata::ConservativelyAllocatable);
+ }
+
+ void moveToNotProvablyAllocatableNodes(NodeId NId) {
+ removeFromCurrentSet(NId);
+ NotProvablyAllocatableNodes.insert(NId);
+ G.getNodeMetadata(NId).setReductionState(
+ NodeMetadata::NotProvablyAllocatable);
+ }
+
+ void setup() {
+ // Set up worklists.
+ for (auto NId : G.nodeIds()) {
+ if (G.getNodeDegree(NId) < 3)
+ moveToOptimallyReducibleNodes(NId);
+ else if (G.getNodeMetadata(NId).isConservativelyAllocatable())
+ moveToConservativelyAllocatableNodes(NId);
+ else
+ moveToNotProvablyAllocatableNodes(NId);
+ }
+ }
+
+ // Compute a reduction order for the graph by iteratively applying PBQP
+ // reduction rules. Locally optimal rules are applied whenever possible (R0,
+ // R1, R2). If no locally-optimal rules apply then any conservatively
+ // allocatable node is reduced. Finally, if no conservatively allocatable
+ // node exists then the node with the lowest spill-cost:degree ratio is
+ // selected.
+ std::vector<GraphBase::NodeId> reduce() {
+ assert(!G.empty() && "Cannot reduce empty graph.");
+
+ typedef GraphBase::NodeId NodeId;
+ std::vector<NodeId> NodeStack;
+
+ // Consume worklists.
+ while (true) {
+ if (!OptimallyReducibleNodes.empty()) {
+ NodeSet::iterator NItr = OptimallyReducibleNodes.begin();
+ NodeId NId = *NItr;
+ OptimallyReducibleNodes.erase(NItr);
+ NodeStack.push_back(NId);
+ switch (G.getNodeDegree(NId)) {
+ case 0:
+ break;
+ case 1:
+ applyR1(G, NId);
+ break;
+ case 2:
+ applyR2(G, NId);
+ break;
+ default: llvm_unreachable("Not an optimally reducible node.");
+ }
+ } else if (!ConservativelyAllocatableNodes.empty()) {
+ // Conservatively allocatable nodes will never spill. For now just
+ // take the first node in the set and push it on the stack. When we
+ // start optimizing more heavily for register preferencing, it may
+ // would be better to push nodes with lower 'expected' or worst-case
+ // register costs first (since early nodes are the most
+ // constrained).
+ NodeSet::iterator NItr = ConservativelyAllocatableNodes.begin();
+ NodeId NId = *NItr;
+ ConservativelyAllocatableNodes.erase(NItr);
+ NodeStack.push_back(NId);
+ G.disconnectAllNeighborsFromNode(NId);
+
+ } else if (!NotProvablyAllocatableNodes.empty()) {
+ NodeSet::iterator NItr =
+ std::min_element(NotProvablyAllocatableNodes.begin(),
+ NotProvablyAllocatableNodes.end(),
+ SpillCostComparator(G));
+ NodeId NId = *NItr;
+ NotProvablyAllocatableNodes.erase(NItr);
+ NodeStack.push_back(NId);
+ G.disconnectAllNeighborsFromNode(NId);
+ } else
+ break;
+ }