我正在用cachegrind,callgrind和gem5做一些实验。我注意到许多访问被认为是cachegrind的read、callgrind的write以及gem5的read和write。
举个简单的例子:

int main() {
    int i, l;

    for (i = 0; i < 1000; i++) {
        l++;
        l++;
        l++;
        l++;
        l++;
        l++;
        l++;
        l++;
        l++;
        l++;
        ... (100 times)
     }
 }

我编译时使用:
gcc ex.c—静态-o ex
所以基本上,根据asm文件,addl $1, -8(%rbp)被执行100000次。因为它既是读又是写,所以我希望读10万,写10万。但是,cachegrind只将它们计为read,而callgrind只计为write。
 % valgrind --tool=cachegrind --I1=512,8,64 --D1=512,8,64
--L2=16384,8,64 ./ex
==15356== Cachegrind, a cache and branch-prediction profiler
==15356== Copyright (C) 2002-2012, and GNU GPL'd, by Nicholas Nethercote et al.
==15356== Using Valgrind-3.8.1 and LibVEX; rerun with -h for copyright info
==15356== Command: ./ex
==15356==
--15356-- warning: L3 cache found, using its data for the LL simulation.
==15356==
==15356== I   refs:      111,535
==15356== I1  misses:        475
==15356== LLi misses:        280
==15356== I1  miss rate:    0.42%
==15356== LLi miss rate:    0.25%
==15356==
==15356== D   refs:      104,894  (103,791 rd   + 1,103 wr)
==15356== D1  misses:        557  (    414 rd   +   143 wr)
==15356== LLd misses:        172  (     89 rd   +    83 wr)
==15356== D1  miss rate:     0.5% (    0.3%     +  12.9%  )
==15356== LLd miss rate:     0.1% (    0.0%     +   7.5%  )
==15356==
==15356== LL refs:         1,032  (    889 rd   +   143 wr)
==15356== LL misses:         452  (    369 rd   +    83 wr)
==15356== LL miss rate:      0.2% (    0.1%     +   7.5%  )

-
 % valgrind --tool=callgrind --I1=512,8,64 --D1=512,8,64
--L2=16384,8,64 ./ex
==15376== Callgrind, a call-graph generating cache profiler
==15376== Copyright (C) 2002-2012, and GNU GPL'd, by Josef Weidendorfer et al.
==15376== Using Valgrind-3.8.1 and LibVEX; rerun with -h for copyright info
==15376== Command: ./ex
==15376==
--15376-- warning: L3 cache found, using its data for the LL simulation.
==15376== For interactive control, run 'callgrind_control -h'.
==15376==
==15376== Events    : Ir Dr Dw I1mr D1mr D1mw ILmr DLmr DLmw
==15376== Collected : 111532 2777 102117 474 406 151 279 87 85
==15376==
==15376== I   refs:      111,532
==15376== I1  misses:        474
==15376== LLi misses:        279
==15376== I1  miss rate:    0.42%
==15376== LLi miss rate:    0.25%
==15376==
==15376== D   refs:      104,894  (2,777 rd + 102,117 wr)
==15376== D1  misses:        557  (  406 rd +     151 wr)
==15376== LLd misses:        172  (   87 rd +      85 wr)
==15376== D1  miss rate:     0.5% ( 14.6%   +     0.1%  )
==15376== LLd miss rate:     0.1% (  3.1%   +     0.0%  )
==15376==
==15376== LL refs:         1,031  (  880 rd +     151 wr)
==15376== LL misses:         451  (  366 rd +      85 wr)
==15376== LL miss rate:      0.2% (  0.3%   +     0.0%  )

有人能给我一个合理的解释吗?考虑到实际上有~100k个读取和~100k个写入(即一个addl有两个缓存访问),我是否正确?

最佳答案

From cachegrind manual: 5.7.1. Cache Simulation Specifics
修改内存位置的指令(例如inc和dec)是
算作只是一次读取,即一次数据引用。今年五月
似乎很奇怪,但既然写了就不会错过(读的
保证块在缓存中)这不是很有趣。
因此,它不测量数据缓存被访问的次数,
但数据缓存未命中的次数。
callgrind的缓存模拟逻辑似乎与cachegrind不同。我认为callgrind应该产生与cachegrind相同的结果,所以这可能是一个bug?

关于c - 使用cachegrind和callgrind的不同读写计数,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/15790541/

10-11 21:11