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问题:
Is it better to use memcpy
as shown below or is it better to use std::copy()
in terms to performance? Why?
char *bits = NULL;
...
bits = new (std::nothrow) char[((int *) copyMe->bits)[0]];
if (bits == NULL)
{
cout << \"ERROR Not enough memory.\\n\";
exit(1);
}
memcpy (bits, copyMe->bits, ((int *) copyMe->bits)[0]);
回答1:
I\'m going to go against the general wisdom here that std::copy
will have a slight, almost imperceptible performance loss. I just did a test and found that to be untrue: I did notice a performance difference. However, the winner was std::copy
.
I wrote a C++ SHA-2 implementation. In my test, I hash 5 strings using all four SHA-2 versions (224, 256, 384, 512), and I loop 300 times. I measure times using Boost.timer. That 300 loop counter is enough to completely stabilize my results. I ran the test 5 times each, alternating between the memcpy
version and the std::copy
version. My code takes advantage of grabbing data in as large of chunks as possible (many other implementations operate with char
/ char *
, whereas I operate with T
/ T *
(where T
is the largest type in the user\'s implementation that has correct overflow behavior), so fast memory access on the largest types I can is central to the performance of my algorithm. These are my results:
Time (in seconds) to complete run of SHA-2 tests
std::copy memcpy % increase
6.11 6.29 2.86%
6.09 6.28 3.03%
6.10 6.29 3.02%
6.08 6.27 3.03%
6.08 6.27 3.03%
Total average increase in speed of std::copy over memcpy: 2.99%
My compiler is gcc 4.6.3 on Fedora 16 x86_64. My optimization flags are -Ofast -march=native -funsafe-loop-optimizations
.
Code for my SHA-2 implementations.
I decided to run a test on my MD5 implementation as well. The results were much less stable, so I decided to do 10 runs. However, after my first few attempts, I got results that varied wildly from one run to the next, so I\'m guessing there was some sort of OS activity going on. I decided to start over.
Same compiler settings and flags. There is only one version of MD5, and it\'s faster than SHA-2, so I did 3000 loops on a similar set of 5 test strings.
These are my final 10 results:
Time (in seconds) to complete run of MD5 tests
std::copy memcpy % difference
5.52 5.56 +0.72%
5.56 5.55 -0.18%
5.57 5.53 -0.72%
5.57 5.52 -0.91%
5.56 5.57 +0.18%
5.56 5.57 +0.18%
5.56 5.53 -0.54%
5.53 5.57 +0.72%
5.59 5.57 -0.36%
5.57 5.56 -0.18%
Total average decrease in speed of std::copy over memcpy: 0.11%
Code for my MD5 implementation
These results suggest that there is some optimization that std::copy used in my SHA-2 tests that std::copy
could not use in my MD5 tests. In the SHA-2 tests, both arrays were created in the same function that called std::copy
/ memcpy
. In my MD5 tests, one of the arrays was passed in to the function as a function parameter.
I did a little bit more testing to see what I could do to make std::copy
faster again. The answer turned out to be simple: turn on link time optimization. These are my results with LTO turned on (option -flto in gcc):
Time (in seconds) to complete run of MD5 tests with -flto
std::copy memcpy % difference
5.54 5.57 +0.54%
5.50 5.53 +0.54%
5.54 5.58 +0.72%
5.50 5.57 +1.26%
5.54 5.58 +0.72%
5.54 5.57 +0.54%
5.54 5.56 +0.36%
5.54 5.58 +0.72%
5.51 5.58 +1.25%
5.54 5.57 +0.54%
Total average increase in speed of std::copy over memcpy: 0.72%
In summary, there does not appear to be a performance penalty for using std::copy
. In fact, there appears to be a performance gain.
Explanation of results
So why might std::copy
give a performance boost?
First, I would not expect it to be slower for any implementation, as long as the optimization of inlining is turned on. All compilers inline aggressively; it is possibly the most important optimization because it enables so many other optimizations. std::copy
can (and I suspect all real world implementations do) detect that the arguments are trivially copyable and that memory is laid out sequentially. This means that in the worst case, when memcpy
is legal, std::copy
should perform no worse. The trivial implementation of std::copy
that defers to memcpy
should meet your compiler\'s criteria of \"always inline this when optimizing for speed or size\".
However, std::copy
also keeps more of its information. When you call std::copy
, the function keeps the types intact. memcpy
operates on void *
, which discards almost all useful information. For instance, if I pass in an array of std::uint64_t
, the compiler or library implementer may be able to take advantage of 64-bit alignment with std::copy
, but it may be more difficult to do so with memcpy
. Many implementations of algorithms like this work by first working on the unaligned portion at the start of the range, then the aligned portion, then the unaligned portion at the end. If it is all guaranteed to be aligned, then the code becomes simpler and faster, and easier for the branch predictor in your processor to get correct.
Premature optimization?
std::copy
is in an interesting position. I expect it to never be slower than memcpy
and sometimes faster with any modern optimizing compiler. Moreover, anything that you can memcpy
, you can std::copy
. memcpy
does not allow any overlap in the buffers, whereas std::copy
supports overlap in one direction (with std::copy_backward
for the other direction of overlap). memcpy
only works on pointers, std::copy
works on any iterators (std::map
, std::vector
, std::deque
, or my own custom type). In other words, you should just use std::copy
when you need to copy chunks of data around.
回答2:
All compilers I know will replace a simple std::copy
with a memcpy
when it is appropriate, or even better, vectorize the copy so that it would be even faster than a memcpy
.
In any case: profile and find out yourself. Different compilers will do different things, and it\'s quite possible it won\'t do exactly what you ask.
See this presentation on compiler optimisations (pdf).
Here\'s what GCC does for a simple std::copy
of a POD type.
#include <algorithm>
struct foo
{
int x, y;
};
void bar(foo* a, foo* b, size_t n)
{
std::copy(a, a + n, b);
}
Here\'s the disassembly (with only -O
optimisation), showing the call to memmove
:
bar(foo*, foo*, unsigned long):
salq $3, %rdx
sarq $3, %rdx
testq %rdx, %rdx
je .L5
subq $8, %rsp
movq %rsi, %rax
salq $3, %rdx
movq %rdi, %rsi
movq %rax, %rdi
call memmove
addq $8, %rsp
.L5:
rep
ret
If you change the function signature to
void bar(foo* __restrict a, foo* __restrict b, size_t n)
then the memmove
becomes a memcpy
for a slight performance improvement. Note that memcpy
itself will be heavily vectorised.
回答3:
Always use std::copy
because memcpy
is limited to only C-style POD structures, and the compiler will likely replace calls to std::copy
with memcpy
if the targets are in fact POD.
Plus, std::copy
can be used with many iterator types, not just pointers. std::copy
is more flexible for no performance loss and is the clear winner.
回答4:
In theory, memcpy
might have a slight, imperceptible, infinitesimal, performance advantage, only because it doesn\'t have the same requirements as std::copy
. From the man page of memcpy
:
To avoid overflows, the size of the
arrays pointed by both the destination
and source parameters, shall be at
least num bytes, and should not
overlap (for overlapping memory
blocks, memmove is a safer approach).
In other words, memcpy
can ignore the possibility of overlapping data. (Passing overlapping arrays to memcpy
is undefined behavior.) So memcpy
doesn\'t need to explicitly check for this condition, whereas std::copy
can be used as long as the OutputIterator
parameter is not in the source range. Note this is not the same as saying that the source range and destination range can\'t overlap.
So since std::copy
has somewhat different requirements, in theory it should be slightly (with an extreme emphasis on slightly) slower, since it probably will check for overlapping C-arrays, or else delegate the copying of C-arrays to memmove
, which needs to perform the check. But in practice, you (and most profilers) probably won\'t even detect any difference.
Of course, if you\'re not working with PODs, you can\'t use memcpy
anyway.
回答5:
My rule is simple. If you are using C++ prefer C++ libraries and not C :)
回答6:
If you really need maximum copying performance (which you might not), use neither of them.
There\'s a lot that can be done to optimize memory copying - even more if you\'re willing to use multiple threads/cores for it. See, for example:
What's missing/sub-optimal in this memcpy implementation?
both the question and some of the answers have suggested implementations or links to implementations.
回答7:
Just a minor addition: The speed difference between memcpy()
and std::copy()
can vary quite a bit depending on if optimizations are enabled or disabled. With g++ 6.2.0 and without optimizations memcpy()
clearly wins:
Benchmark Time CPU Iterations
---------------------------------------------------
bm_memcpy 17 ns 17 ns 40867738
bm_stdcopy 62 ns 62 ns 11176219
bm_stdcopy_n 72 ns 72 ns 9481749
When optimizations are enabled (-O3
), everything looks pretty much the same again:
Benchmark Time CPU Iterations
---------------------------------------------------
bm_memcpy 3 ns 3 ns 274527617
bm_stdcopy 3 ns 3 ns 272663990
bm_stdcopy_n 3 ns 3 ns 274732792
The bigger the array the less noticeable the effect gets, but even at N=1000
memcpy()
is about twice as fast when optimizations aren\'t enabled.
Source code (requires Google Benchmark):
#include <string.h>
#include <algorithm>
#include <vector>
#include <benchmark/benchmark.h>
constexpr int N = 10;
void bm_memcpy(benchmark::State& state)
{
std::vector<int> a(N);
std::vector<int> r(N);
while (state.KeepRunning())
{
memcpy(r.data(), a.data(), N * sizeof(int));
}
}
void bm_stdcopy(benchmark::State& state)
{
std::vector<int> a(N);
std::vector<int> r(N);
while (state.KeepRunning())
{
std::copy(a.begin(), a.end(), r.begin());
}
}
void bm_stdcopy_n(benchmark::State& state)
{
std::vector<int> a(N);
std::vector<int> r(N);
while (state.KeepRunning())
{
std::copy_n(a.begin(), N, r.begin());
}
}
BENCHMARK(bm_memcpy);
BENCHMARK(bm_stdcopy);
BENCHMARK(bm_stdcopy_n);
BENCHMARK_MAIN()
/* EOF */
回答8:
Profiling shows that statement: std::copy()
is always as fast as memcpy()
or faster is false.
My system:
HP-Compaq-dx7500-Microtower 3.13.0-24-generic #47-Ubuntu SMP Fri May 2
23:30:00 UTC 2014 x86_64 x86_64 x86_64 GNU/Linux.
gcc (Ubuntu 4.8.2-19ubuntu1) 4.8.2
The code (language: c++):
const uint32_t arr_size = (1080 * 720 * 3); //HD image in rgb24
const uint32_t iterations = 100000;
uint8_t arr1[arr_size];
uint8_t arr2[arr_size];
std::vector<uint8_t> v;
main(){
{
DPROFILE;
memcpy(arr1, arr2, sizeof(arr1));
printf(\"memcpy()\\n\");
}
v.reserve(sizeof(arr1));
{
DPROFILE;
std::copy(arr1, arr1 + sizeof(arr1), v.begin());
printf(\"std::copy()\\n\");
}
{
time_t t = time(NULL);
for(uint32_t i = 0; i < iterations; ++i)
memcpy(arr1, arr2, sizeof(arr1));
printf(\"memcpy() elapsed %d s\\n\", time(NULL) - t);
}
{
time_t t = time(NULL);
for(uint32_t i = 0; i < iterations; ++i)
std::copy(arr1, arr1 + sizeof(arr1), v.begin());
printf(\"std::copy() elapsed %d s\\n\", time(NULL) - t);
}
}
g++ -O0 -o test_stdcopy test_stdcopy.cpp
memcpy() profile: main:21: now:1422969084:04859 elapsed:2650 us
std::copy() profile: main:27: now:1422969084:04862 elapsed:2745 us
memcpy() elapsed 44 s std::copy() elapsed 45 s
g++ -O3 -o test_stdcopy test_stdcopy.cpp
memcpy() profile: main:21: now:1422969601:04939 elapsed:2385 us
std::copy() profile: main:28: now:1422969601:04941 elapsed:2690 us
memcpy() elapsed 27 s std::copy() elapsed 43 s
Red Alert pointed out that the code uses memcpy from array to array and std::copy from array to vector. That coud be a reason for faster memcpy.
Since there is
v.reserve(sizeof(arr1));
there shall be no difference in copy to vector or array.
The code is fixed to use array for both cases. memcpy still faster:
{
time_t t = time(NULL);
for(uint32_t i = 0; i < iterations; ++i)
memcpy(arr1, arr2, sizeof(arr1));
printf(\"memcpy() elapsed %ld s\\n\", time(NULL) - t);
}
{
time_t t = time(NULL);
for(uint32_t i = 0; i < iterations; ++i)
std::copy(arr1, arr1 + sizeof(arr1), arr2);
printf(\"std::copy() elapsed %ld s\\n\", time(NULL) - t);
}
memcpy() elapsed 44 s
std::copy() elapsed 48 s