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]);
JesusRamos, "std::copy is slower because of it's use of iterators." is incorrect. in the code given it uses just ordinary pointers. @JesusRamos: The specialization in libstdc++ begins in its std::copy() implementation here.
memmove() is similar to memcpy() as it also copies data from a source to destination.
memcpy is usually naive - certainly not the slowest way to copy memory around, but usually quite easy to beat with some loop unrolling, and you can go even further with assembler.
memcpy() is specifically designed to copy areas of memory from one place to another so it should be as efficient as the underlying architecture will allow.
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.
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.
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