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Editorial Team
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Asked: 2026-05-12T11:43:47+00:00

In certain areas of development such as game development, real time systems, etc., it

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In certain areas of development such as game development, real time systems, etc., it is important to have a fast and optimized program. On the other side, modern compilers do a lot of optimization already and optimizing in Assembly can be time consuming in a world where deadlines are a factor to take into consideration.

Questions:

  1. Is optimizing certain functions with Assembly in a
    C/C++ program really worth it?

  2. Is there really a sufficient gain in
    performance when optimizing a C/C++
    program with Assembly with today’s
    modern compilers?

What I understand with the answers posted, any gain that can be made is important in certain areas such as embedded systems, multimedia programming (graphics, sound, etc.). Also, one needs to be capable (or have someone capable) of doing a better job in Assembly than a modern compiler. Doing some really optimized C/C++ can take less time and can do a good enough job. One last thing, learning Assembly can help understand the inner mechanics of a program and make someone a better programmer in the end.

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1 Answer

  1. Editorial Team

    I’d say it’s not worth it. I work on software that does real-time 3D rendering (i.e., rendering without assistance from a GPU). I do make extensive use of SSE compiler intrinsics — lots of ugly code filled with __mm_add_ps() and friends — but I haven’t needed to recode a function in assembly in a very long time.

    My experience is that good modern optimizing compilers are pretty darn effective at intricate, micro-level optimizations. They’ll do sophisticated loop transformations such as reordering, unrolling, pipelining, blocking, tiling, jamming, fission, and the like. They’ll schedule instructions to keep the pipeline filled, vectorize simple loops, and deploy some interesting bit twiddling hacks. Modern compilers are incredibly fascinating beasts.

    Can you beat them? Well, sure, given that they choose the optimizations to use by heuristics, they’re bound to get it wrong sometimes. But I’ve found it’s much better to optimize the code itself by looking at the bigger picture. Am I laying out my data structures in the most cache friendly way? Am I doing something unorthodox that misleads the compiler? Can I rewrite something a bit to give the compiler better hints? Am I better off recomputing something instead of storing it? Could inserting a prefetch help? Have I got false cache sharing somewhere? Are there small code optimization that the compiler thinks unsafe but is okay here (e.g., converting division to multiplication by the reciprocal)?

    I like to work with the compiler instead of against it. Let it take care of the micro-level optimizations, so that you can focus on the mezzo-level optimizations. The important thing is to have a good idea how your compiler works so that you know where the boundaries between the two levels are.

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