Increases full-unroll threshold.
Summary:
The default threshold for fully unroll is too conservative. This patch doubles the full-unroll threshold
This change will affect the following speccpu2006 benchmarks (performance numbers were collected from Intel Sandybridge):
Performance:
403 0.11%
433 0.51%
445 0.48%
447 3.50%
453 1.49%
464 0.75%
Code size:
403 0.56%
433 0.96%
445 2.16%
447 2.96%
453 0.94%
464 8.02%
The compiler time overhead is similar with code size.
Reviewers: davidxl, mkuper, mzolotukhin, hfinkel, chandlerc
Reviewed By: hfinkel, chandlerc
Subscribers: mehdi_amini, zzheng, efriedma, haicheng, hfinkel, llvm-commits
Differential Revision: https://reviews.llvm.org/D28368
llvm-svn: 295538
diff --git a/llvm/lib/Transforms/IPO/PassManagerBuilder.cpp b/llvm/lib/Transforms/IPO/PassManagerBuilder.cpp
index 1913b50..1abbec1 100644
--- a/llvm/lib/Transforms/IPO/PassManagerBuilder.cpp
+++ b/llvm/lib/Transforms/IPO/PassManagerBuilder.cpp
@@ -320,7 +320,7 @@
MPM.add(createCFGSimplificationPass());
}
if (!DisableUnrollLoops)
- MPM.add(createSimpleLoopUnrollPass()); // Unroll small loops
+ MPM.add(createSimpleLoopUnrollPass(OptLevel)); // Unroll small loops
addExtensionsToPM(EP_LoopOptimizerEnd, MPM);
if (OptLevel > 1) {
@@ -366,7 +366,7 @@
// BBVectorize may have significantly shortened a loop body; unroll again.
if (!DisableUnrollLoops)
- MPM.add(createLoopUnrollPass());
+ MPM.add(createLoopUnrollPass(OptLevel));
}
}
@@ -612,7 +612,7 @@
// BBVectorize may have significantly shortened a loop body; unroll again.
if (!DisableUnrollLoops)
- MPM.add(createLoopUnrollPass());
+ MPM.add(createLoopUnrollPass(OptLevel));
}
}
@@ -621,7 +621,7 @@
addInstructionCombiningPass(MPM);
if (!DisableUnrollLoops) {
- MPM.add(createLoopUnrollPass()); // Unroll small loops
+ MPM.add(createLoopUnrollPass(OptLevel)); // Unroll small loops
// LoopUnroll may generate some redundency to cleanup.
addInstructionCombiningPass(MPM);
@@ -772,11 +772,11 @@
PM.add(createLoopInterchangePass());
if (!DisableUnrollLoops)
- PM.add(createSimpleLoopUnrollPass()); // Unroll small loops
+ PM.add(createSimpleLoopUnrollPass(OptLevel)); // Unroll small loops
PM.add(createLoopVectorizePass(true, LoopVectorize));
// The vectorizer may have significantly shortened a loop body; unroll again.
if (!DisableUnrollLoops)
- PM.add(createLoopUnrollPass());
+ PM.add(createLoopUnrollPass(OptLevel));
// Now that we've optimized loops (in particular loop induction variables),
// we may have exposed more scalar opportunities. Run parts of the scalar