tsan: optimize memory access functions

The optimization is two-fold:
First, the algorithm now uses SSE instructions to
handle all 4 shadow slots at once. This makes processing
faster.
Second, if shadow contains the same access, we do not
store the event into trace. This increases effective
trace size, that is, tsan can remember up to 10x more
previous memory accesses.

Perofrmance impact:
Before:
[       OK ] DISABLED_BENCH.Mop8Read (2461 ms)
[       OK ] DISABLED_BENCH.Mop8Write (1836 ms)
After:
[       OK ] DISABLED_BENCH.Mop8Read (1204 ms)
[       OK ] DISABLED_BENCH.Mop8Write (976 ms)
But this measures only fast-path.
On large real applications the speedup is ~20%.

Trace size impact:
On app1:
Memory accesses                   :       1163265870
  Including same                  :        791312905 (68%)
on app2:
Memory accesses                   :        166875345
  Including same                  :        150449689 (90%)
90% of filtered events means that trace size is effectively 10x larger.




git-svn-id: https://llvm.org/svn/llvm-project/compiler-rt/trunk@209897 91177308-0d34-0410-b5e6-96231b3b80d8

1 files changed, 1 insertions, 0 deletions

diff --git a/lib/tsan/rtl/tsan_stat.h b/lib/tsan/rtl/tsan_stat.h
index 8cdf14659..0bd949ed1 100644
--- a/lib/tsan/rtl/tsan_stat.h
+++ b/lib/tsan/rtl/tsan_stat.h
@@ -26,6 +26,7 @@ enum StatType {
   StatMop4,
   StatMop8,
   StatMopSame,
+  StatMopIgnored,
   StatMopRange,
   StatMopRodata,
   StatMopRangeRodata,