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66 ms
·
811.
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by
dons
17y ago
Hmm. No, its not about making it strict -- (!) already does that. It is about changing the representation entirely, so that you get specialized code and data for every different type, rather than reusing slower, general purpose functions. T
812.
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Self-optimizing data structures: using types to make lists faster
(donsbot.wordpress.com)
21 points
by
dons
17y ago
|
7 comments
813.
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Intel porting Concurrent Collections to Haskell
(softtalkblog.wordpress.com)
3 points
by
dons
17y ago
|
0 comments
814.
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Criterion, a new benchmarking library .. easy to use, informative, and robust
(serpentine.com)
5 points
by
dons
17y ago
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0 comments
815.
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Fast mutable collections for Haskell: more benchmarks
(donsbot.wordpress.com)
1 points
by
dons
17y ago
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0 comments
816.
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Finite Differences of Types
(blog.sigfpe.com)
9 points
by
dons
17y ago
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0 comments
817.
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Very fast, scalable mutable maps and hashes for Haskell
(donsbot.wordpress.com)
31 points
by
dons
17y ago
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27 comments
818.
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Real World Haskell: Bryan O'Sullivan's inspirational call to the FP community
(serpentine.com)
32 points
by
dons
17y ago
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0 comments
819.
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Commercial Users of Functional Programming Workshop 2009: complete videos
(vimeo.com)
20 points
by
dons
17y ago
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4 comments
820.
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Darcs advanced revision control system: darcs 2.3.1: faster, better, easier
(blog.darcs.net)
3 points
by
dons
17y ago
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0 comments
821.
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The Future of GHC Haskell : Simon Peyton Jones
(vimeo.com)
3 points
by
dons
17y ago
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0 comments
822.
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Data.Binary: performance improvments for Haskell binary parsing
(donsbot.wordpress.com)
2 points
by
dons
17y ago
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0 comments
823.
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Implementing Data Parallel Haskell
(vimeo.com)
1 points
by
dons
17y ago
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0 comments
824.
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The Haskell Implementors Workshop 2009: Complete Videos
(vimeo.com)
2 points
by
dons
17y ago
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0 comments
825.
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Writing Linux Kernel Modules in Haskell
(tommd.wordpress.com)
53 points
by
dons
17y ago
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2 comments
826.
▲
by
dons
17y ago
The author's now posted a blog post on this talk. Sorry for breaking the news early. http://justtesting.posterous.com/haskell-arrays-accelerated-...
827.
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by
dons
17y ago
It's on Hackage, as always, http://hackage.haskell.org/package/accelerate
828.
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Haskell Arrays Accelerated with GPUs
(scribd.com)
24 points
by
dons
17y ago
|
12 comments
829.
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Improving Data Structures with Associated Types
(donsbot.wordpress.com)
2 points
by
dons
17y ago
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0 comments
830.
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Hubris and GHC 6.12 + dynamic linking
(shimweasel.com)
6 points
by
dons
17y ago
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2 comments
831.
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The Birth of the Industrial Haskell Group
(blog.well-typed.com)
3 points
by
dons
17y ago
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0 comments
832.
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Facebook's lex-pass tool : automate changes to a PHP codebase via Haskell
(github.com)
3 points
by
dons
17y ago
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0 comments
833.
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by
dons
17y ago
So you can parse the code in those slides -- despite it being raw high performance-focused code -- but you're having trouble understanding why it is fast?
834.
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Stream Fusion for Haskell Arrays
(donsbot.wordpress.com)
16 points
by
dons
17y ago
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4 comments
835.
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Erlang: Impressed with Haskell's concurrency
(orbitz-erlang.blogspot.com)
6 points
by
dons
17y ago
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0 comments
836.
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by
dons
17y ago
BTW, I moved the articles to a different host last year, http://donsbot.wordpress.com/2008/05/06/write-haskell-as-fas... and the follow-on using fusion, http://donsbot.wordpress.com/2008/06/04/haskell-as-fast-as-c...
837.
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by
dons
17y ago
I switched to Arch in 2007 because I needed multicore SMP runtime support. OpenBSD was only running userland apps on 1 core at the time.
838.
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by
dons
17y ago
I think this idea of "unstable points in the design space" is quite insightful. Hmm. Have to think about this some more.
839.
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by
dons
17y ago
Fundamentally, I think it is the cathedral (INRIA) vs the bazaar (Haskell.org open source) leading to long term efficiencies for the Haskell community. Also, the OCaml community seems more fragmented, so its harder to organize group efforts
840.
▲
by
dons
17y ago
> speed gains are rather small How did you get that impression? Depending on the problem, there are programs in that talk that scale linearly with the available cores. Secondly, there are two forms of implicit parallelism presented: *
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