[LLVMdev] multithreaded performance disaster with -fprofile-instr-generate (contention on profile counters)
Chandler Carruth
chandlerc at google.com
Thu Apr 17 14:04:28 PDT 2014
On Thu, Apr 17, 2014 at 1:27 PM, Justin Bogner <mail at justinbogner.com>wrote:
> Chandler Carruth <chandlerc at google.com> writes:
>
> if (thread-ID != main's thread-ID && shard_count < std::min(MAX,
> NUMBER_OF_CORES)) {
> > shard_count = std::min(MAX, std::max(NUMBER_OF_THREADS,
> NUMBER_OF_CORES));
> > // if shard_count changed with this, we can also call a library
> routine here
> > that does the work of allocating the actual extra shards.
> > }
>
Note, I had a bug here. The first time I had this only grow the shard count
once, and later thought it might be nice to grow this incrementally so that
applications that only need 2 or 3 threads, don't pay for more. I fixed the
guard here, but naturally this is still hand-wavy. =D
>
> Is it possible to hook on something more clever than function entry?
> Choosing to do this based on thread creation or something like that
> could make this extra check very cheap.
>
Yea, *if* you can do it on thread creation, that would be awesome. But we
don't really have a good way to model that right now. on the flip side.
>
> > MAX is a fixed cap so even on systems with 100s of cores we don't do
> something
> > silly. NUBER_OF_THREADS, if supported on the OS, can limit the shards
> when we
> > only have a small number of threads in the program. NUMBER_OF_CORES, if
> > supported on the OS, can limit the shards. If we don't have the number of
> > threads, we just use the number of cores. If we don't have the number of
> > cores, we can just guess 8 (or something).
>
> I like the general idea of this approach. The obvious TLS approach
> worried me in that it explodes memory usage by much more than you'll
> generally need.
>
> > Then, we can gracefully fall back on the following strategies to pick an
> index
> > into the shards:
> >
> > - Per-core non-atomic counter updates (if we support them) using
> restartable
> > sequences
> > - Use a core-ID as the index into the shards to statistically minimize
> the
> > contention, and do the increments atomically so it remains correct even
> if the
> > core-ID load happens before a core migration and the counter increment
> occurs
> > afterward
> > - Use (thread-ID % number of cores) if we don't have support for getting
> a
> > core-ID from the target OS. This will still have a reasonable
> distribution I
> > suspect, even if not perfect.
> >
> > Finally, I wouldn't merge on shutdown if possible. I would just write
> larger
> > raw profile data for multithreaded runs, and let the profdata tool merge
> them.
>
> Agreed. Doing the merging offline is a clear win. The space overhead is
> short lived enough that it shouldn't be a big issue.
>
> > If this is still too much memory, then I would suggest doing the above,
> but
> > doing it independently for each function so that only those functions
> actually
> > called via multithreaded code end up sharding their counters.
>
> I'd worry that doing this per-function might be too fine of granularity,
> but there are certainly use cases where large chunks of the code are
> only exercised by one (of many) threads, so something along these lines
> could be worthwhile.
>
Yea. If we need to do it in a fine grained way (IE, not whole-program
sharding), I think my favorite granularity would be
per-post-inliner-function. The other thing to do is to set up
function-local variables at that phase that are used to locate the counters
cheaply within the function body.
One way that might work would be to use essentially synthetic intrinsics to
introduce the *markers* for instrumentation (and the function names,
frontend hashes etc, all the stuff that needs language-level semantics)
into the code, but have LLVM transform these into the actual
instrumentation code after inlining and optimization. Then it can also
inject the necessary code into the more coarse grained boundaries.
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