aserio changed the topic of #ste||ar to: STE||AR: Systems Technology, Emergent Parallelism, and Algorithm Research | stellar.cct.lsu.edu | HPX: A cure for performance impaired parallel applications | github.com/STEllAR-GROUP/hpx | Buildbot: http://rostam.cct.lsu.edu/ | Log: http://irclog.cct.lsu.edu/
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<NJAY> hello
<NJAY> I m new to open source . Help me start.
<jbjnr> NJAY: Hi, if you're here for GSoC then I'd start ehre https://github.com/STEllAR-GROUP/hpx/wiki/GSoC-2018-Project-Ideas
<jbjnr> ^here
<github> [hpx] StellarBot pushed 1 new commit to gh-pages: https://git.io/vNXqe
<github> hpx/gh-pages 141b2a3 StellarBot: Updating docs
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<jbjnr> anyone home today? seems very quiet
<hkaiser> g'morning
<jbjnr> ooh. hi
<jbjnr> thought you were still in bed
<github> [hpx] hkaiser pushed 2 new commits to master: https://git.io/vNXWM
<github> hpx/master 4c5c2d4 Mikael Simberg: Correct docbook dtd and xsl cmake path names
<github> hpx/master 2639df1 Hartmut Kaiser: Merge pull request #3128 from msimberg/fix-docs-variables...
<github> [hpx] biddisco closed pull request #2377: Add a customization point for put_parcel so we can override actions (… (master...action_customization) https://git.io/vXUSN
<github> [hpx] biddisco deleted action_customization at 29aceaa: https://git.io/vNX4f
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<heller_> jbjnr: I'm home literally. Needed a break
<jbjnr> enjoy your rest.
<jbjnr> I'm the only person in the building today. very queit
<heller_> Nice as well
<heller_> 120 people went to my talk yesterday
<jbjnr> wow. What did you talk about?
<jbjnr> (HPX, of course, but allscale, or something esle?)
<hkaiser> heller_: nice!
<hkaiser> how's Klaus?
<heller_> Sick
<hkaiser> uhh
<heller_> Didn't meet him
<hkaiser> k
<heller_> jbjnr: essentially a introduction. From std::thread to to the future and why os threads are bad
<jbjnr> k
<heller_> It was a non academic venue. Very refreshing
<jbjnr> where then?
<heller_> Munich c++ user group
<jbjnr> lovely
<jbjnr> pycicle just went crazy. somebody must have pushed something
<hkaiser> jaafar: Kevin will probably contact you to use pycicle for Phylanx testing
<hkaiser> jbjnr: ^^
<jbjnr> poor jaafar
<jbjnr> so much spam from you
<hkaiser> sorry jaafar
<jbjnr> no problem. I'd be glad to help
<hkaiser> thanks
<jbjnr> need to get heller_ running it at fau so we can see if any wrinkles need to be ironed out too
<jbjnr> (running it regularly and full time I mean)
<hkaiser> jbjnr: he might need some help in makin gpycicle independent of hpx
<jbjnr> hkaiser: yup. No prob
<jbjnr> that is not going to be a lot of work fortunately. Just a few places where we need to add config options insstead of hard coded stuff
<hkaiser> nice
<jbjnr> I'm desperate to get my hands on heller_ 's latest thread cleanup. Hoping he doesn't rest too much today :)
<heller_> He
<heller_> Later I might get back to work
<heller_> jbjnr: could you do me a favor maybe?
<jbjnr> ask
<heller_> And run your application with the papi L1 data cache counters
<heller_> I'm especially interested in misses and evictions
<heller_> Sampling over time would be great
<jbjnr> do you have a command line set of params I can copy to get the right syntax?
<heller_> Not from the top of my head
<jbjnr> just papi - not apex yes?
<heller_> Yes
<heller_> jbjnr: another thing, how many continuations do you attach to a single future?
<jbjnr> max 2 with a shared future (at the moment), but the DAG may be thousands of continuations long in total
<heller_> I think that one of your performance problems might come from too much dynamic memory allocation happening
<jbjnr> sounds plausible
<heller_> Ok, that means that you have around 1000 allocations
<heller_> Not good
<jbjnr> where does 1000 come from?
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<heller_> You have a chain of 1000 continuations
<jbjnr> it's actually a bit less
<heller_> When you attach more than one, the small function optimization doesn't apply anymore
<jbjnr> with a 40960 matrix using 256 block size, then there are 160 blocks, so the dag will have some multiple of that
<heller_> And if your completion handler is larger than sizeof(3*void) it doesn't either
<jbjnr> but for 20480 using 512 it's 40 blocks wide and tall
<heller_> I'll have to think how to fix this... Not easy
<hkaiser> heller_: don't create the compound continuation function object, rather use a small_vector to store them
<jbjnr> (NB. ther might be a few places where we use 3 continuations, so a small vector with size~4 would probab;y work 99% of the time)
<jbjnr> (when we have to send a matrix block therea's an extra continuation I think)
<hkaiser> jbjnr: right
<hkaiser> even a larger small_vector wouldn't be a problem as the shared state is not copied anyways
<jbjnr> ok
<jbjnr> just one more HPX_CONTINUTATION_SMALL_VECTOR_SIZE to add to the defines/config :)
<hkaiser> right ;)
<K-ballo> we've gained us one small_vector?
<jbjnr> the libfabric PP uses one. boost::small_vector as I recall
<heller_> hkaiser: yeah, that's what I'm thinking
<heller_> In the end, future_data should be the size of one cache line
<jbjnr> am I right in thinking that coroutines can't be used with executors - or can they be coerced into working together using the generator template stuff that goes with the coroutines
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<heller_> jbjnr: they can coexist
<heller_> There is some very interesting work under the name cppcoro
<jbjnr> ta
<hkaiser> heller_: unrelated to this
<hkaiser> but yah
<jbjnr> unrelated in what sense?
<hkaiser> K-ballo: do you know of a freestanding BSL small_vector?
<hkaiser> jbjnr: I misread things, nvm
<K-ballo> I don't know of any
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<heller_> Putting a small_vector together shouldn't be hard
<heller_> "what can go wrong"
<heller_> Depends on whether we want fixed capacity or not though
<hkaiser> heller_: try first with boost::container::small_vector
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<github> [hpx] hkaiser force-pushed disable_executor_compatibility from f8fbdc6 to 2651fc2: https://git.io/vN2lz
<github> hpx/disable_executor_compatibility 2651fc2 Hartmut Kaiser: This patch disables default executor compatibility with V1 executors...
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<heller_> hkaiser: yeah, the question for me though is if we really need the ability to grow the capacity, or if we just do a similar trick than what we have now with compose_cb
<hkaiser> either way works - I'd start with the simplest (and quickest) solution, i.e. use some small_vector that already exists
<hkaiser> otoh, combining some finite container with the composition technique would copy the whole thing, might be too much
<heller_> yup...
<heller_> a resize is essentially the same though
<hkaiser> depends on the reallocation strategy
<heller_> sure, but once you grow over the capacity
<hkaiser> sure sure
<heller_> but yes, boost small_vector is what I'll aim for
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<heller_> what is the shared_state_allocator used for?
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<jbjnr> what is "trick ... we have now with compose_cb" ?
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<K-ballo> compose_cb combines two type erased callbacks into a third type erased callback that calls the first two
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<K-ballo> cb = compose_cb(cb, new_cb)
<K-ballo> results in a singly linked list of callbacks of sorts (with SBO)
<jbjnr> thanks
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<heller_> I am a very naive person ;)
<K-ballo> you had to know it was allocating
<heller_> and assumed we always doe SBO :P
<K-ballo> right
<heller_> the problem is, it gets tricky to find those places, where you compose and bind callables etc.
<heller_> and soon end up with a type that's too large
<heller_> so yes, I knew that it is potentially allocating
<heller_> I never thought it would be a big problem though
<heller_> untill I discovered the thing with register_thread_nullary and friends...
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