为什么链接到librt在g ++和clang之间交换性能？ [英] Why does linking to librt swap performance between g++ and clang?
问题描述
我刚刚找到了来自@ tony-d的此回答，其中有一个测试代码，用于测试虚拟函数调用开销。我检查是使用 g ++ 的基准测试：
I just found this answer from @tony-d with a bench code to test virtual function call overhead. I checked is benchmark using g++:
$ g++ -O2 -o vdt vdt.cpp -lrt
$ ./vdt
virtual dispatch: 150000000 0.128562
switched: 150000000 0.0803207
overheads: 150000000 0.0543323
...
我的表现更好，他的比率约为2，但后来我用 clang ：
I got better performance that his (ratio is about 2), but then I checked with clang:
$ clang++-3.7 -O2 -o vdt vdt.cpp -lrt
$ ./vdt
virtual dispatch: 150000000 0.462368
switched: 150000000 0.0569544
overheads: 150000000 0.0509332
...
现在这个比例增加到70了！
Now the ratio goes up to about 70!
然后我注意到 lrt 命令行参数后，在搜索 librt 后，我尝试了 g ++ 和 clang ：
I then noticed the -lrt command line argument, and after a bit of googling about librt I tried without it for g++ and clang:
$ g++ -O2 -o vdt vdt.cpp
$ ./vdt
virtual dispatch: 150000000 0.4661
switched: 150000000 0.0815865
overheads: 150000000 0.0543611
...
$ clang++-3.7 -O2 -o vdt vdt.cpp
$ ./vdt
virtual dispatch: 150000000 0.155901
switched: 150000000 0.0568319
overheads: 150000000 0.0492521
...
正如您所看到的，效果是 swaped 。
As you can see, the performance are swaped.
根据我发现的 librt ，需要 clock_gettime 时间计算（也许我错了，在这种情况下纠正我），但代码编译良好无 -lrt ，并且时间似乎从我看到的正确。
From what I found about librt, it is needed for clock_gettime and other related time computation (maybe I am wrong, correct me in this case!) but the code compiles fine without -lrt, and the time seems correct from what I see.
为什么链接/不链接 librt 会影响代码太多？
Why does linking / not linking librt affects that code so much?
有关我的系统和编译器的信息：
Informations about my system and compilers:
$ g++ --version
g++-5 (Ubuntu 5.3.0-3ubuntu1~14.04) 5.3.0 20151204
Copyright (C) 2015 Free Software Foundation, Inc.
$ clang++-3.7 --version
Debian clang version 3.7.1-svn254351-1~exp1 (branches/release_37) (based on LLVM 3.7.1)
Target: x86_64-pc-linux-gnu
Thread model: posix
$ uname -a
Linux ****** 3.13.0-86-generic #130-Ubuntu SMP Mon Apr 18 18:27:15 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux
推荐答案
我猜想是与oprimizer如果指定-lrt，由于尝试链接库，优化器有更多的数据，可以进行不同的优化。）
I would guess that is connected with oprimizer (if -lrt is specified, because of trying to link with the library the optimizer has more data and can optimize differently).
至于差异，与我的g ++（4.8 .4）我有相同的结果，有和没有-lrt，但clang（3.4.-lubuntu3）有一个区别。我试图通过perftools统计运行这个通过下面的结果：
As for the differences, with my g++ (4.8.4) I have the same results with and without -lrt, but clang (3.4.-lubuntu3) there is a difference. I tried to run this through perftools statistics with the folloving results:
$ g++ -O2 -o vdt vdt.cpp -lrt && perf stat -d ./vdt
virtual dispatch: 150000000 1.2304
switched: 150000000 0.131782
overheads: 150000000 0.0842732
virtual dispatch: 150000000 1.13689
switched: 150000000 0.137304
overheads: 150000000 0.0854806
virtual dispatch: 150000000 1.19261
switched: 150000000 0.133561
overheads: 150000000 0.0969093
Performance counter stats for './vdt':
4068.861539 task-clock (msec) # 0.961 CPUs utilized
1,068 context-switches # 0.262 K/sec
0 cpu-migrations # 0.000 K/sec
431 page-faults # 0.106 K/sec
11,977,128,883 cycles # 2.944 GHz [40.18%]
6,088,274,331 stalled-cycles-frontend # 50.83% frontend cycles idle [39.92%]
3,984,855,636 stalled-cycles-backend # 33.27% backend cycles idle [39.98%]
6,581,309,599 instructions # 0.55 insns per cycle
# 0.93 stalled cycles per insn [50.06%]
1,506,617,848 branches # 370.280 M/sec [50.12%]
303,871,937 branch-misses # 20.17% of all branches [49.88%]
2,708,080,460 L1-dcache-loads # 665.562 M/sec [49.94%]
559,844,530 L1-dcache-load-misses # 20.67% of all L1-dcache hits [50.28%]
0 LLC-loads # 0.000 K/sec [40.05%]
0 LLC-load-misses # 0.00% of all LL-cache hits [39.98%]
4.232477683 seconds time elapsed
$ g++ -O2 -o vdt vdt.cpp && perf stat -d ./vdt
virtual dispatch: 150000000 1.11517
switched: 150000000 0.14231
overheads: 150000000 0.0840234
virtual dispatch: 150000000 1.11355
switched: 150000000 0.130082
overheads: 150000000 0.116934
virtual dispatch: 150000000 1.16225
switched: 150000000 0.13281
overheads: 150000000 0.0798615
Performance counter stats for './vdt':
4050.314222 task-clock (msec) # 0.993 CPUs utilized
707 context-switches # 0.175 K/sec
0 cpu-migrations # 0.000 K/sec
402 page-faults # 0.099 K/sec
12,213,599,260 cycles # 3.015 GHz [39.72%]
6,987,416,990 stalled-cycles-frontend # 57.21% frontend cycles idle [40.25%]
4,675,829,189 stalled-cycles-backend # 38.28% backend cycles idle [40.17%]
6,611,623,206 instructions # 0.54 insns per cycle
# 1.06 stalled cycles per insn [50.54%]
1,505,162,879 branches # 371.616 M/sec [50.48%]
298,748,152 branch-misses # 19.85% of all branches [50.30%]
2,710,580,651 L1-dcache-loads # 669.227 M/sec [50.04%]
551,212,908 L1-dcache-load-misses # 20.34% of all L1-dcache hits [49.86%]
3 LLC-loads # 0.001 K/sec [39.62%]
0 LLC-load-misses # 0.00% of all LL-cache hits [40.01%]
4.080288324 seconds time elapsed
$ clang++ -O2 -o vdt vdt.cpp -lrt && perf stat -d ./vdt
virtual dispatch: 150000000 0.276252
switched: 150000000 0.11926
overheads: 150000000 0.0733678
virtual dispatch: 150000000 0.249832
switched: 150000000 0.0892711
overheads: 150000000 0.117108
virtual dispatch: 150000000 0.247705
switched: 150000000 0.109486
overheads: 150000000 0.0762541
Performance counter stats for './vdt':
1347.887606 task-clock (msec) # 0.989 CPUs utilized
222 context-switches # 0.165 K/sec
0 cpu-migrations # 0.000 K/sec
430 page-faults # 0.319 K/sec
3,558,892,668 cycles # 2.640 GHz [42.47%]
1,316,787,839 stalled-cycles-frontend # 37.00% frontend cycles idle [42.61%]
438,592,926 stalled-cycles-backend # 12.32% backend cycles idle [40.57%]
6,388,507,180 instructions # 1.80 insns per cycle
# 0.21 stalled cycles per insn [50.49%]
1,514,291,853 branches # 1123.456 M/sec [50.19%]
1,095,265 branch-misses # 0.07% of all branches [48.66%]
2,485,922,557 L1-dcache-loads # 1844.310 M/sec [47.99%]
577,213,257 L1-dcache-load-misses # 23.22% of all L1-dcache hits [48.20%]
2 LLC-loads # 0.001 K/sec [40.51%]
0 LLC-load-misses # 0.00% of all LL-cache hits [40.17%]
1.362403811 seconds time elapsed
$ clang++ -O2 -o vdt vdt.cpp && perf stat -d ./vdt
virtual dispatch: 150000000 1.0894
switched: 150000000 0.0849747
overheads: 150000000 0.0726611
virtual dispatch: 150000000 1.03949
switched: 150000000 0.0849843
overheads: 150000000 0.0768674
virtual dispatch: 150000000 1.07786
switched: 150000000 0.0893431
overheads: 150000000 0.0725624
Performance counter stats for './vdt':
3667.235804 task-clock (msec) # 0.993 CPUs utilized
356 context-switches # 0.097 K/sec
0 cpu-migrations # 0.000 K/sec
402 page-faults # 0.110 K/sec
11,052,067,182 cycles # 3.014 GHz [39.98%]
5,346,555,173 stalled-cycles-frontend # 48.38% frontend cycles idle [40.10%]
3,480,506,097 stalled-cycles-backend # 31.49% backend cycles idle [40.09%]
6,351,819,740 instructions # 0.57 insns per cycle
# 0.84 stalled cycles per insn [50.07%]
1,524,106,229 branches # 415.601 M/sec [50.17%]
299,296,742 branch-misses # 19.64% of all branches [50.05%]
2,393,484,447 L1-dcache-loads # 652.667 M/sec [49.93%]
554,010,640 L1-dcache-load-misses # 23.15% of all L1-dcache hits [49.88%]
0 LLC-loads # 0.000 K/sec [40.33%]
0 LLC-load-misses # 0.00% of all LL-cache hits [39.83%]
3.692786417 seconds time elapsed
是clang中的分支预测（分支未命中）的一些差异（再次指向优化器）。
What I can see that there is some difference in branch prediction (branch-misses) in clang (that again to the optimizer).
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