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Enable the new LoopInfo algorithm by default.
The primary advantage is that loop optimizations will be applied in a stable order. This helps debugging and unit test creation. It is also a better overall implementation without pathologically bad performance on deep functions. On large functions (llvm-stress --size=200000 | opt -loops) Before: 0.1263s After: 0.0225s On deep functions (after tweaking llvm-stress, thanks Nadav): Before: 0.2281s After: 0.0227s See r158790 for more comments. The loop tree is now consistently generated in forward order, but loop passes are applied in reverse order over the program. If we have a loop optimization that prefers forward order, that can easily be achieved by adding a different type of LoopPassManager. git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@159183 91177308-0d34-0410-b5e6-96231b3b80d8
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@@ -162,7 +162,7 @@ void LPPassManager::deleteSimpleAnalysisValue(Value *V, Loop *L) {
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// Recurse through all subloops and all loops into LQ.
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static void addLoopIntoQueue(Loop *L, std::deque<Loop *> &LQ) {
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LQ.push_back(L);
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for (Loop::iterator I = L->begin(), E = L->end(); I != E; ++I)
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for (Loop::reverse_iterator I = L->rbegin(), E = L->rend(); I != E; ++I)
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addLoopIntoQueue(*I, LQ);
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}
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@@ -183,8 +183,12 @@ bool LPPassManager::runOnFunction(Function &F) {
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// Collect inherited analysis from Module level pass manager.
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populateInheritedAnalysis(TPM->activeStack);
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// Populate Loop Queue
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for (LoopInfo::iterator I = LI->begin(), E = LI->end(); I != E; ++I)
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// Populate the loop queue in reverse program order. There is no clear need to
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// process sibling loops in either forward or reverse order. There may be some
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// advantage in deleting uses in a later loop before optimizing the
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// definitions in an earlier loop. If we find a clear reason to process in
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// forward order, then a forward variant of LoopPassManager should be created.
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for (LoopInfo::reverse_iterator I = LI->rbegin(), E = LI->rend(); I != E; ++I)
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addLoopIntoQueue(*I, LQ);
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if (LQ.empty()) // No loops, skip calling finalizers
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