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Today's Topics:
1. Memory usage prediction (Emanuel Koczwara)
2. Re: Memory usage prediction (Patrick Mylund Nielsen)
3. Re: Memory usage prediction (Emanuel Koczwara)
4. Re: Memory usage prediction (Patrick Mylund Nielsen)
----------------------------------------------------------------------
Message: 1
Date: Wed, 03 Jul 2013 21:14:21 +0200
From: Emanuel Koczwara <[email protected]>
Subject: [Haskell-beginners] Memory usage prediction
To: [email protected]
Message-ID: <1372878861.29656.7.camel@emanuel-laptop>
Content-Type: text/plain; charset="utf-8"
Hi,
Where can I find some informations abut memory usage prediction? In C
(or C++) while I write code I can predict how much stack space will be
used, how much heap space will be used, I can count instructions. I want
to see all these things while I'm looking at my code. Is it possible in
Haskell?
Best regards,
Emanuel
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Message: 2
Date: Wed, 3 Jul 2013 15:20:21 -0400
From: Patrick Mylund Nielsen <[email protected]>
Subject: Re: [Haskell-beginners] Memory usage prediction
To: The Haskell-Beginners Mailing List - Discussion of primarily
beginner-level topics related to Haskell <[email protected]>
Message-ID:
<CAEw2jfz4sd56p4Xxa_-VMdPZfg7azHWuhWPD=6z8lhsamuh...@mail.gmail.com>
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The short answer is no. This is Haskell's biggest weakness: it's difficult
to predict space usage.
The longer answer is "kind of" -- you can't exactly intuit it, but the
profiler is easy to use:
http://book.realworldhaskell.org/read/profiling-and-optimization.html
http://www.haskell.org/ghc/docs/7.6.2/html/users_guide/prof-heap.html
The only caveat is you have to reinstall your libraries with profiling
enabled:
http://stackoverflow.com/questions/1704421/cabal-not-installing-dependencies-when-needing-profiling-libraries
(If I've already installed some packages, usually I take the quick and
dirty route and just set library-profiling to True, delete ~/.ghc to clear
the package list, then install my package.)
On Wed, Jul 3, 2013 at 3:14 PM, Emanuel Koczwara
<[email protected]>wrote:
> Hi,
>
> Where can I find some informations abut memory usage prediction? In C
> (or C++) while I write code I can predict how much stack space will be
> used, how much heap space will be used, I can count instructions. I want
> to see all these things while I'm looking at my code. Is it possible in
> Haskell?
>
> Best regards,
> Emanuel
>
>
> _______________________________________________
> Beginners mailing list
> [email protected]
> http://www.haskell.org/mailman/listinfo/beginners
>
>
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Message: 3
Date: Wed, 03 Jul 2013 21:31:33 +0200
From: Emanuel Koczwara <[email protected]>
Subject: Re: [Haskell-beginners] Memory usage prediction
To: The Haskell-Beginners Mailing List - Discussion of primarily
beginner-level topics related to Haskell <[email protected]>
Message-ID: <1372879893.29656.14.camel@emanuel-laptop>
Content-Type: text/plain; charset="utf-8"
Hi Patrick,
Dnia 2013-07-03, ?ro o godzinie 15:20 -0400, Patrick Mylund Nielsen
pisze:
> The short answer is no. This is Haskell's biggest weakness: it's
> difficult to predict space usage.
>
>
> The longer answer is "kind of" -- you can't exactly intuit it, but the
> profiler is easy to use:
>
>
> http://book.realworldhaskell.org/read/profiling-and-optimization.html
>
> http://www.haskell.org/ghc/docs/7.6.2/html/users_guide/prof-heap.html
>
>
>
> The only caveat is you have to reinstall your libraries with profiling
> enabled:
> http://stackoverflow.com/questions/1704421/cabal-not-installing-dependencies-when-needing-profiling-libraries
>
>
> (If I've already installed some packages, usually I take the quick and
> dirty route and just set library-profiling to True, delete ~/.ghc to
> clear the package list, then install my package.)
>
Thank you for such a quick response. I know all that profiling
'stuff'. So, I will put it this way: is there a chance, that I will be
able to predict performance after some time of profiling my code?
Best regards,
Emanuel
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Message: 4
Date: Wed, 3 Jul 2013 15:36:16 -0400
From: Patrick Mylund Nielsen <[email protected]>
Subject: Re: [Haskell-beginners] Memory usage prediction
To: The Haskell-Beginners Mailing List - Discussion of primarily
beginner-level topics related to Haskell <[email protected]>
Message-ID:
<CAEw2jfxboXWDj0=YZL50T_mxtUKJ=u7cEWbQEFvP3=eq-dz...@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"
I would say "yes". I haven't had any big problems with space leaks that I
couldn't identify via the profiler, then fix.
I certainly wouldn't look at another language instead of Haskell for this
one reason, unless you really need a specific arena size, and you know
exactly what you want where, in which case you're probably writing an
application that's better suited by a language without a garbage collector,
anyway.
On Wed, Jul 3, 2013 at 3:31 PM, Emanuel Koczwara
<[email protected]>wrote:
> Hi Patrick,
>
> Dnia 2013-07-03, ?ro o godzinie 15:20 -0400, Patrick Mylund Nielsen
> pisze:
> > The short answer is no. This is Haskell's biggest weakness: it's
> > difficult to predict space usage.
> >
> >
> > The longer answer is "kind of" -- you can't exactly intuit it, but the
> > profiler is easy to use:
> >
> >
> > http://book.realworldhaskell.org/read/profiling-and-optimization.html
> >
> > http://www.haskell.org/ghc/docs/7.6.2/html/users_guide/prof-heap.html
> >
> >
> >
> > The only caveat is you have to reinstall your libraries with profiling
> > enabled:
> http://stackoverflow.com/questions/1704421/cabal-not-installing-dependencies-when-needing-profiling-libraries
> >
> >
> > (If I've already installed some packages, usually I take the quick and
> > dirty route and just set library-profiling to True, delete ~/.ghc to
> > clear the package list, then install my package.)
> >
>
> Thank you for such a quick response. I know all that profiling
> 'stuff'. So, I will put it this way: is there a chance, that I will be
> able to predict performance after some time of profiling my code?
>
> Best regards,
> Emanuel
>
>
>
> _______________________________________________
> Beginners mailing list
> [email protected]
> http://www.haskell.org/mailman/listinfo/beginners
>
>
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