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Mio: A High-Performance Multicore IO Manager for GHC [pdf]

haskell.cs.yale.edu

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Re: Mio: A High-Performance Multicore IO Manager for GHC [pdf]

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post #2

The file also states that "Mio will be released as part of GHC 7.8.1", which is scheduled around October if I recall correctly. Neat

Painful to hear about such wonderful developments when you are a Debian Stable user :(

What are the problems of making Haskell from source? (I did it recently, and it takes a long time, and you have to install a bunch of other random things... But at least it works in the end. I guess that sucks for devops?)

Re: Mio: A High-Performance Multicore IO Manager for GHC [pdf]

#7
post #5
post #2

The file also states that "Mio will be released as part of GHC 7.8.1", which is scheduled around October if I recall correctly. Neat

Painful to hear about such wonderful developments when you are a Debian Stable user :(

Installing GHC manually is not hard, the website even provides pre-compiled binaries. I started doing it for different reasons, but was surprised how painless the process was. After doing it multiple times, I wrote together a file that guides me through the process, which you can find here: https://github.com/quchen/articles/blob/master/install_haske...

Re: Mio: A High-Performance Multicore IO Manager for GHC [pdf]

#8
post #5
post #2

The file also states that "Mio will be released as part of GHC 7.8.1", which is scheduled around October if I recall correctly. Neat

Painful to hear about such wonderful developments when you are a Debian Stable user :(

If it's your local machine, you may be able to pull it from experimental when it comes out. If it's a server, can't you just compile everything statically and deploy the resulting executable?

Re: Mio: A High-Performance Multicore IO Manager for GHC [pdf]

#10
post #9

Does anyone know why functional programming languages are so much favored by research teams over other types of PL ? Every time i hear someone doing PL research, it's always on some kind of functional programming language such as Haskell or ML.

Elegant structure with simple core, and closeness to mathematical foundations makes complexities more clear and tractable.
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