Does a c/c++ compiler optimize constant divisions by power-of-two value into shifts?

Question

Question says it all. Does anyone know if the following...

size_t div(size_t value) {
    const size_t x = 64;
    return value / x;
}

...is optimized into?

size_t div(size_t value) {
    return value >> 6;
}

Do compilers do this? (My interest lies in GCC). Are there situations where it does and others where it doesn't?

I would really like to know, because every time I write a division that could be optimized like this I spend some mental energy wondering about whether precious nothings of a second is wasted doing a division where a shift would suffice.

Answer 1

Why not find out for yourself? You say gcc is the compiler your care about -- gcc -S will give you your answer.

Answer 2

Even with g++ -O0 (yes, -O0!), this happens. Your function compiles down to:

_Z3divm:
.LFB952:
        pushq   %rbp
.LCFI0:
        movq    %rsp, %rbp
.LCFI1:
        movq    %rdi, -24(%rbp)
        movq    $64, -8(%rbp)
        movq    -24(%rbp), %rax
        shrq    $6, %rax
        leave
        ret

Note the shrq $6, which is a right shift by 6 places.

With -O1, the unnecessary junk is removed:

_Z3divm:
.LFB1023:
        movq    %rdi, %rax
        shrq    $6, %rax
        ret

Results on g++ 4.3.3, x64.

Answer 3

Most compilers will go even further than reducing division by powers of 2 into shifts - they'll often convert integer division by a constant into a series of multiplication, shift, and addition instructions to get the result instead of using the CPU's built-in divide instruction (if there even is one).

For example, MSVC converts division by 71 to the following:

// volatile int y = x / 71;

8b 0c 24        mov ecx, DWORD PTR _x$[esp+8] ; load x into ecx

b8 49 b4 c2 e6  mov eax, -423447479 ; magic happens starting here...
f7 e9           imul ecx            ; edx:eax = x * 0xe6c2b449

03 d1           add edx, ecx        ; edx = x + edx

c1 fa 06        sar edx, 6          ; edx >>= 6 (with sign fill)

8b c2           mov eax, edx        ; eax = edx
c1 e8 1f        shr eax, 31         ; eax >>= 31 (no sign fill)
03 c2           add eax, edx        ; eax += edx

89 04 24        mov DWORD PTR _y$[esp+8], eax

So, you get a divide by 71 with a multiply, a couple shifts and a couple adds.

For more details on what's going on, consult Henry Warren's "Hacker's Delight" book or the companion webpage:

• http://www.hackersdelight.org/

There's an online added chapter that provides some addition information about about division by constants using multiplication/shift/add with magic numbers, and a page with a little JavaScript program that'll calculate the magic numbers you need.

The companion site for the book is well worth reading (as is the book) - particularly if you're interested in bit-level micro optimizations.

Another article that I discovered just now that discusses this optimization: http://blogs.msdn.com/devdev/archive/2005/12/12/502980.aspx

Answer 4

Only when it can determine that the argument is positive. That's the case for your example, but ever since C99 specified round-towards-zero semantics for integer division, it has become harder to optimize division by powers of two into shifts, because they give different results for negative arguments.

In reaction to Michael's comment below, here is one way the division r=x/p;of x by a known power of two p can indeed be translated by the compiler:

if (x<0)
  x += p-1;
r = x >> (log2 p);

Since the OP was asking whether he should think about these things, one possible answer would be "only if you know the dividend's sign better than the compiler or know that it doesn't matter if the result is rounded towards 0 or -∞".

Answer 5

Yes, compilers generate the most optimal code for such simplistic calculations. However, why you are insisting specifically on "shifts" is not clear to me. The optimal code for a given platform might easily turn out to be something different from a "shift".

In general case the old and beaten-to-death idea that a "shift" is somehow the most optimal way to implement power-of-two multiplications and divisions has very little practical relevance on modern platforms. It is a good way to illustrate the concept of "optimization" to newbies, but no more than that.