Because you can all download binaries for LDC 1.1.0-alpha1 now, it is time to release the article on how to use profile-guided optimization with the new LDC release.
Please test and report back to us! :)

https://johanengelen.github.io/ldc/2016/07/15/Profile-Guided-Optimization-with-LDC.html



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Three months ago, I measured a 7% performance gain of the compiler front-end D code using Profile-Guided Optimization (PGO) with LDC. Now, part of my PGO work was merged into LDC master on Jun 20, 2016! This means it will be available in the next LDC release (version 1.1.0, needs LLVM 3.7 or newer). You can play with it with the LDC 1.1.0-alpha1 release. Here I’ll discuss how to use it, saving the implementation details for another article.

Using PGO with LDC is similar to using PGO with Clang, and much of this article also applies to Clang.

Profile-Guided Optimization (PGO)

“Profile-guided optimizations” are optimizations that the compiler can do when it is given information about the typical execution flow of your program, such that the typical execution flow of your program runs faster (and rare execution flows run slower). The typical execution flow information is the “profile” of your program: how many times was this function called, how often was a control-flow branch taken, how often was function A called by function B, what are likely values of variable X, how much memory is usually allocated for something, etc.
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