[llvm-dev] (Thin)LTO llvm build

Carsten Mattner via llvm-dev llvm-dev at lists.llvm.org
Sat Sep 17 16:03:46 PDT 2016

On Sun, Sep 18, 2016 at 12:32 AM, Mehdi Amini <mehdi.amini at apple.com> wrote:
>> On Sep 17, 2016, at 3:19 PM, Carsten Mattner <carstenmattner at gmail.com> wrote:
>> So, when I embark on the next ThinLTO try build, probably this Sunday,
>> should I append -Wl,-plugin-opt,jobs=NUM_PHYS_CORES to LDFLAGS
>> and run ninja without -j or -jNUM_PHYS_CORES?
> ThinLTO is fairly lean on memory: It should not consume more memory per thread than if you launch the same number of clang process in parallel to process C++ files.
> For example when linking the clang binary itself, without debug info it consumes 0.6GB with 8 threads, 0.9GB with 16 threads, and 1.4GB with 32 threads.
> With full debug info, we still have room for improvement, right now it consumes 2.3GB with 8 threads, 3.5GB with 16 threads, and 6.5GB with 32 threads.
> So I believe that configuring with -DDLLVM_PARALLEL_LINK_JOBS=1 should be enough without other constrains, but your mileage may vary.

Sure, I'll try that to not introduce too many variables into the
configure changes,
though I have to ask if using lld would make it possible to have a common -Wl
that works across platforms, being able to ignore if it's binutils.

If I really wanted to pass that to cmake, overriding LDFLAGS would work, right?

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