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Home/ Questions/Q 6947363
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Editorial Team
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Editorial Team
Asked: May 27, 20262026-05-27T13:41:02+00:00 2026-05-27T13:41:02+00:00

I’ve been writing in x86 assembly lately (for fun) and was wondering whether or

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I’ve been writing in x86 assembly lately (for fun) and was wondering whether or not rep prefixed string instructions actually have a performance edge on modern processors or if they’re just implemented for back compatibility.

I can understand why Intel would have originally implemented the rep instructions back when processors only ran one instruction at a time, but is there a benefit to using them now?

With a loop that compiles to more instructions, there is more to fill up the pipeline and/or be issued out-of-order. Are modern processors built to optimize for these rep-prefixed instructions, or are rep instructions used so rarely in modern code that they’re not important to the manufacturers?

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  1. Editorial Team
    Editorial Team
    2026-05-27T13:41:03+00:00Added an answer on May 27, 2026 at 1:41 pm

    There is a lot of space given to questions like this in both AMD and Intel’s optimization guides. Validity of advice given in this area has a “half life” – different CPU generations behave differently, for example:

    • AMD Software Optimization Guide (Sep/2005), section 8.3, pg. 167:
      Avoid using the REP prefix when performing string operations, especially when copying blocks of memory.
    • AMD Software Optimization Guide (Apr/2011), section 9.3, pg. 148:
      Use the REP prefix judiciously when performing string operations.

    The Intel Architecture Optimization Manual gives performance comparison figures for various block copy techniques (including rep stosd) on Table 7-2. Relative Performance of Memory Copy Routines, pg. 7-37f., for different CPUs, and again what’s fastest on one might not be fastest on others.

    For many cases, recent x86 CPUs (which have the “string” SSE4.2 operations) can do string operations via the SIMD unit, see this investigation.

    To follow up on all this (and/or keep yourself updated when things change again, inevitably), read Agner Fog’s Optimization guides/blogs.

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