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Is it better to use std::memcpy() or std::copy() in terms to performance?

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]); 
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user576670 Avatar asked Jan 16 '11 17:01

user576670


People also ask

Is STD copy slow?

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.

What can I use instead of memcpy?

memmove() is similar to memcpy() as it also copies data from a source to destination.

Is memcpy slow?

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.

Why do we need memcpy?

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.


2 Answers

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.

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David Stone Avatar answered Sep 21 '22 18:09

David Stone


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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Peter Alexander Avatar answered Sep 17 '22 18:09

Peter Alexander