Run LSA as a part of the LSE pass.

Make LSA a helper class, not an optimization pass. Move all
its allocations to ScopedArenaAllocator to reduce the peak
memory usage a little bit.

Test: m test-art-host-gtest
Test: testrunner.py --host --optimizing
Change-Id: I7fc634abe732d22c99005921ffecac5207bcf05f

1 files changed, 2 insertions, 1 deletions

diff --git a/compiler/optimizing/scheduler.cc b/compiler/optimizing/scheduler.cc
index f722cf91a7..ea5a13a0db 100644
--- a/compiler/optimizing/scheduler.cc
+++ b/compiler/optimizing/scheduler.cc
@@ -559,7 +559,8 @@ void HScheduler::Schedule(HGraph* graph) {
   // We run lsa here instead of in a separate pass to better control whether we
   // should run the analysis or not.
   const HeapLocationCollector* heap_location_collector = nullptr;
-  LoadStoreAnalysis lsa(graph);
+  ScopedArenaAllocator allocator(graph->GetArenaStack());
+  LoadStoreAnalysis lsa(graph, &allocator);
   if (!only_optimize_loop_blocks_ || graph->HasLoops()) {
     lsa.Run();
     heap_location_collector = &lsa.GetHeapLocationCollector();