Some improvements related to the computation of heights, depths of SUnits.

The basic idea is that all these algorithms are computing the longest paths from the root node or to the exit node. Therefore the existing implementation that uses and iterative and potentially
exponential algorithm was changed to a well-known graph algorithm based on dynamic programming. It has a linear run-time.

git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@47884 91177308-0d34-0410-b5e6-96231b3b80d8

1 files changed, 93 insertions, 21 deletions

diff --git a/lib/CodeGen/SelectionDAG/ScheduleDAG.cpp b/lib/CodeGen/SelectionDAG/ScheduleDAG.cpp
index 3be5995..88c7aa7 100644
--- a/lib/CodeGen/SelectionDAG/ScheduleDAG.cpp
+++ b/lib/CodeGen/SelectionDAG/ScheduleDAG.cpp
@@ -232,39 +232,111 @@ void ScheduleDAG::ComputeLatency(SUnit *SU) {
   }
 }
 
+/// CalculateDepths - compute depths using algorithms for the longest
+/// paths in the DAG
 void ScheduleDAG::CalculateDepths() {
-  std::vector<std::pair<SUnit*, unsigned> > WorkList;
-  for (unsigned i = 0, e = SUnits.size(); i != e; ++i)
-    if (SUnits[i].Preds.empty())
-      WorkList.push_back(std::make_pair(&SUnits[i], 0U));
+  unsigned DAGSize = SUnits.size();
+  std::vector<unsigned> InDegree(DAGSize);
+  std::vector<SUnit*> WorkList;
+  WorkList.reserve(DAGSize);
 
+  // Initialize the data structures
+  for (unsigned i = 0, e = DAGSize; i != e; ++i) {
+    SUnit *SU = &SUnits[i];
+    int NodeNum = SU->NodeNum;
+    unsigned Degree = SU->Preds.size();
+    InDegree[NodeNum] = Degree;
+    SU->Depth = 0;
+
+    // Is it a node without dependencies?
+    if (Degree == 0) {
+        assert(SU->Preds.empty() && "SUnit should have no predecessors");
+        // Collect leaf nodes
+        WorkList.push_back(SU);
+    }
+  }
+
+  // Process nodes in the topological order
   while (!WorkList.empty()) {
-    SUnit *SU = WorkList.back().first;
-    unsigned Depth = WorkList.back().second;
+    SUnit *SU = WorkList.back();
     WorkList.pop_back();
-    if (SU->Depth == 0 || Depth > SU->Depth) {
-      SU->Depth = Depth;
-      for (SUnit::succ_iterator I = SU->Succs.begin(), E = SU->Succs.end();
-           I != E; ++I)
-        WorkList.push_back(std::make_pair(I->Dep, Depth+1));
+    unsigned &SUDepth  = SU->Depth;
+
+    // Use dynamic programming:
+    // When current node is being processed, all of its dependencies
+    // are already processed.
+    // So, just iterate over all predecessors and take the longest path
+    for (SUnit::const_pred_iterator I = SU->Preds.begin(), E = SU->Preds.end();
+         I != E; ++I) {
+      unsigned PredDepth = I->Dep->Depth;
+      if (PredDepth+1 > SUDepth) {
+          SUDepth = PredDepth + 1;
+      }
+    }
+
+    // Update InDegrees of all nodes depending on current SUnit
+    for (SUnit::const_succ_iterator I = SU->Succs.begin(), E = SU->Succs.end();
+         I != E; ++I) {
+      SUnit *SU = I->Dep;
+      if (!--InDegree[SU->NodeNum])
+        // If all dependencies of the node are processed already,
+        // then the longest path for the node can be computed now
+        WorkList.push_back(SU);
     }
   }
 }
 
+/// CalculateHeights - compute heights using algorithms for the longest
+/// paths in the DAG
 void ScheduleDAG::CalculateHeights() {
-  std::vector<std::pair<SUnit*, unsigned> > WorkList;
-  SUnit *Root = SUnitMap[DAG.getRoot().Val].front();
-  WorkList.push_back(std::make_pair(Root, 0U));
+  unsigned DAGSize = SUnits.size();
+  std::vector<unsigned> InDegree(DAGSize);
+  std::vector<SUnit*> WorkList;
+  WorkList.reserve(DAGSize);
 
+  // Initialize the data structures
+  for (unsigned i = 0, e = DAGSize; i != e; ++i) {
+    SUnit *SU = &SUnits[i];
+    int NodeNum = SU->NodeNum;
+    unsigned Degree = SU->Succs.size();
+    InDegree[NodeNum] = Degree;
+    SU->Height = 0;
+
+    // Is it a node without dependencies?
+    if (Degree == 0) {
+        assert(SU->Succs.empty() && "Something wrong");
+        assert(WorkList.empty() && "Should be empty");
+        // Collect leaf nodes
+        WorkList.push_back(SU);
+    }
+  }
+
+  // Process nodes in the topological order
   while (!WorkList.empty()) {
-    SUnit *SU = WorkList.back().first;
-    unsigned Height = WorkList.back().second;
+    SUnit *SU = WorkList.back();
     WorkList.pop_back();
-    if (SU->Height == 0 || Height > SU->Height) {
-      SU->Height = Height;
-      for (SUnit::pred_iterator I = SU->Preds.begin(), E = SU->Preds.end();
-           I != E; ++I)
-        WorkList.push_back(std::make_pair(I->Dep, Height+1));
+    unsigned &SUHeight  = SU->Height;
+
+    // Use dynamic programming:
+    // When current node is being processed, all of its dependencies
+    // are already processed.
+    // So, just iterate over all successors and take the longest path
+    for (SUnit::const_succ_iterator I = SU->Succs.begin(), E = SU->Succs.end();
+         I != E; ++I) {
+      unsigned SuccHeight = I->Dep->Height;
+      if (SuccHeight+1 > SUHeight) {
+          SUHeight = SuccHeight + 1;
+      }
+    }
+
+    // Update InDegrees of all nodes depending on current SUnit
+    for (SUnit::const_pred_iterator I = SU->Preds.begin(), E = SU->Preds.end();
+         I != E; ++I) {
+      SUnit *SU = I->Dep;
+      if (!--InDegree[SU->NodeNum])
+        // If all dependencies of the node are processed already,
+        // then the longest path for the node can be computed now
+        WorkList.push_back(SU);
     }
   }
 }