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From: Philippe Wang <mail@philippewang.info>
To: Wolfgang Draxinger <wdraxinger.maillist@draxit.de>
Cc: OCaml Mailing List <caml-list@inria.fr>,
	Francis Dupont <Francis.Dupont@fdupont.fr>,
	 Mathias Bourgoin <mathias.bourgoin@lip6.fr>
Subject: Re: [Caml-list] Current state of threading parallelism?
Date: Sat, 5 Oct 2013 02:25:13 +0100	[thread overview]
Message-ID: <CAAFfW_o7prPb_CibBFXqcRDwb==vdMRJDweP84po=gXpB8Y3zg@mail.gmail.com> (raw)
In-Reply-To: <20131005022537.20edf93e@narfi.yggdrasil.draxit.de>

On Sat, Oct 5, 2013 at 1:25 AM, Wolfgang Draxinger
<wdraxinger.maillist@draxit.de> wrote:
> On Fri, 04 Oct 2013 17:44:27 +0200
> Francis Dupont <Francis.Dupont@fdupont.fr> wrote:
>
>> => yes, this is the official way (no shared memory, no fine grain
>> locking, etc). Note this was the way followed by Python too for
>> the same reasons (to make the intepreter multi-threaded was considered
>> as too hard for the expected best result, i.e., ~4 time maximum speed
>> up).
>
> Well, there are certain problems that can be largely parallelized in a
> way that performance scales well with the number of cores. Those
> problems usually also perform in constant memory (of course this is all
> mutable state then, so not really pure). I'm thinking of problems that
> could be put as well on GPUs here, like signal decomposition, error
> diffusion models, stuff like that.

You might want to get a look at SPOC:
http://www.algo-prog.info/spoc/

N.B. It's even in OPAM!

-- 
Philippe Wang
   mail@philippewang.info

  reply	other threads:[~2013-10-05  1:25 UTC|newest]

Thread overview: 7+ messages / expand[flat|nested]  mbox.gz  Atom feed  top
2013-10-03 23:46 Wolfgang Draxinger
2013-10-03 23:50 ` Francois Berenger
2013-10-04 15:44 ` Francis Dupont
2013-10-05  0:25   ` Wolfgang Draxinger
2013-10-05  1:25     ` Philippe Wang [this message]
2013-10-05  3:57       ` Francois Berenger
2013-10-05 23:28     ` Jon Harrop

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