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Home/ Questions/Q 737289
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Editorial Team
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Editorial Team
Asked: May 14, 20262026-05-14T07:42:16+00:00 2026-05-14T07:42:16+00:00

Does gcc have memory alignment pragma, akin #pragma vector aligned in Intel compiler? I

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Does gcc have memory alignment pragma, akin #pragma vector aligned in Intel compiler?
I would like to tell compiler to optimize particular loop using aligned loads/store instructions. to avoid possible confusion, this is not about struct packing.

e.g:

#if defined (__INTEL_COMPILER)
#pragma vector aligned
#endif
        for (int a = 0; a < int(N); ++a) {
            q10 += Ix(a,0,0)*Iy(a,1,1)*Iz(a,0,0);
            q11 += Ix(a,0,0)*Iy(a,0,1)*Iz(a,1,0);
            q12 += Ix(a,0,0)*Iy(a,0,0)*Iz(a,0,1);
            q13 += Ix(a,1,0)*Iy(a,0,0)*Iz(a,0,1);
            q14 += Ix(a,0,0)*Iy(a,1,0)*Iz(a,0,1);
            q15 += Ix(a,0,0)*Iy(a,0,0)*Iz(a,1,1);
        }

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  1. Editorial Team
    Editorial Team
    2026-05-14T07:42:16+00:00Added an answer on May 14, 2026 at 7:42 am

    You can tell GCC that a pointer points to aligned memory by using a typedef to create an over-aligned type that you can declare pointers to.

    This helps gcc but not clang7.0 or ICC19, see the x86-64 non-AVX asm they emit on Godbolt. (Only GCC folds a load into a memory operand for mulps, instead of using a separate movups). You have have to use __builtin_assume_aligned if you want to portably convey an alignment promise to GNU C compilers other than GCC itself.


    From http://gcc.gnu.org/onlinedocs/gcc/Type-Attributes.html

    typedef double aligned_double __attribute__((aligned (16)));
    // Note: sizeof(aligned_double) is 8, not 16
    void some_function(aligned_double *x, aligned_double *y, int n)
    {
        for (int i = 0; i < n; ++i) {
            // math!
        }
    }
    

    This won’t make aligned_double 16 bytes wide. This will just make it aligned to a 16-byte boundary, or rather the first one in an array will be. Looking at the disassembly on my computer, as soon as I use the alignment directive, I start to see a LOT of vector ops. I am using a Power architecture computer at the moment so it’s altivec code, but I think this does what you want.

    (Note: I wasn’t using double when I tested this, because there altivec doesn’t support double floats.)

    You can see some other examples of autovectorization using the type attributes here: http://gcc.gnu.org/projects/tree-ssa/vectorization.html

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