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February 2012
- 2 participants
- 2 discussions
Hello all,
First of all, I'm sorry that this email is so absurdly long. But it's not
easy to explain the problem at hand, so I took a step-by-step approach. The
executive summary is: GHC can do a *great *job with inlining, but often it
doesn't, and I don't understand why. So I have some questions, which are
highlighted in the text below. In general, any insights regarding inlining
or improving the performance of generics are welcome. My final goal is to
be able to state that generic functions (in particular using GHC.Generics)
will have no runtime overhead whatsoever when compared to a handwritten
type-specific version.
The setting
Generic programming is based on representing datatypes in a uniform way
using a small set of representation types. Functions defined on those
representation types can then be applied to all datatypes, because we can
convert between datatypes and their representations.
However, generic functions tend to be slower than their specialised
counterparts, because they have to deal with the conversions. But clever
inlining (together with other compiler optimisations) can completely remove
this overhead. The problem I'm tackling is how to tell GHC exactly what it
should in the particular case of optimisation of generic code.
Simplified example
I'll focus on the problem of optimising a non-trivial function for generic
enumeration of terms. My experience shows that GHC does quite good at
optimising simple functions, especially consumers (like generic equality).
But producers are trickier.
First, we'll need some auxiliary functions:
-- | Interleave elements from two lists. Similar to (++), but swap left and
> -- right arguments on every recursive application.
> --
> -- From Mark Jones' talk at AFP2008
> {-# NOINLINE (|||) #-}
> (|||) :: [a] -> [a] -> [a]
> [] ||| ys = ys
> (x:xs) ||| ys = x : ys ||| xs
>
>
> -- | Diagonalization of nested lists. Ensure that some elements from every
> -- sublist will be included. Handles infinite sublists.
> --
> -- From Mark Jones' talk at AFP2008
> {-# NOINLINE diag #-}
> diag :: [[a]] -> [a]
> diag = concat . foldr skew [] . map (map (\x -> [x]))
>
> skew :: [[a]] -> [[a]] -> [[a]]
> skew [] ys = ys
> skew (x:xs) ys = x : combine (++) xs ys
>
> combine :: (a -> a -> a) -> [a] -> [a] -> [a]
> combine _ xs [] = xs
> combine _ [] ys = ys
> combine f (x:xs) (y:ys) = f x y : combine f xs ys
>
The particular implementation of these functions doesn't really matter.
What's important is that we have a way to interleave lists (|||) and a way
to diagonalise a matrix into a list (diag). We mark these functions as
NOINLINE because inlining them will only make the core code more
complicated (and may prevent rules from firing).
Suppose we have a type of Peano natural numbers:
data Nat = Ze | Su Nat deriving Eq
>
Implementing enumeration on this type is simple:
enumNat :: [Nat]
> enumNat = [Ze] ||| map Su enumNat
>
Now, a generic representation of Nat in terms of sums and products could
look something like this:
type RepNat = Either () Nat
>
That is, either a singleton (for the Ze case) or a Nat (for the Su case).
Note that I am building a shallow representation, since at the leaves we
have Nat, and not RepNat. This mimics the situation with current generic
programming libraries (in particular GHC.Generics).
We'll need a way to convert between RepNat and Nat:
toNat :: RepNat -> Nat
> toNat (Left ()) = Ze
> toNat (Right n) = Su n
>
> fromNat :: Nat -> RepNat
> fromNat Ze = Left ()
> fromNat (Su n) = Right n
>
(In fact, since we're only dealing with a generic producer we won't need
the fromNat function.)
To get an enumeration for RepNat, we first need to know how to enumerate
units and sums:
enumU :: [()]
> enumU = [()]
>
> enumEither :: [a] -> [b] -> [Either a b]
> enumEither ea eb = map Left ea ||| map Right eb
>
Now we can define an enumeration for RepNat:
enumRepNat :: [RepNat]
> enumRepNat = enumEither enumU enumNatFromRep
>
With the conversion function toNat, we can use enumRepNat to get an
enumeration for Nat directly:
enumNatFromRep :: [Nat]
> enumNatFromRep = map toNat enumRepNat
>
First, convince yourself that enumNatFromRep and enumNat are equivalent
functions:
take 100 enumNat == take 100 enumNatFromRep
>
Now, what I want is that enumNatFromRep generates the same core code as
enumNat. That should be possible; here are the necessary steps:
map toNat enumRepNat
>
> == { inline enumRepNat }
>
> map toNat (enumEither enumU enumNatFromRep)
>
> == { inline enumEither }
>
> map toNat (map Left enumU ||| map Right enumNatFromRep)
>
> == { inline enumU }
>
> map toNat (map Left [()] ||| map Right enumNatFromRep)
>
> == { inline map }
>
> map toNat ([Left ()] ||| map Right enumNatFromRep)
>
> == { free theorem (|||): forall f a b. map f (a ||| b) = map f a ||| map f
> b }
>
> map toNat [Left ()] ||| map toNat (map Right enumNatFromRep)
>
> == { inline map }
>
> [toNat (Left ())] ||| map toNat (map Right enumNatFromRep)
>
> == { definition of toNat (or inline toNat + case of constant) }
>
> [Ze] ||| map toNat (map Right enumNatFromRep)
>
> == { functor composition law: forall f g l. map f (map g l) = map (f . g)
> l }
>
> [Ze] ||| map (toNat . Right) enumNatFromRep
>
> == { definition of toNat (or inline toNat + case of constant) }
>
> [Ze] ||| map Su enumNatFromRep
>
Now let's see what the compiler generates. I'm using GHC-7.4.1. Let's
compile with -O1 and use -ddump-simpl to see the final simplifier output
(core code) for enumNatFromRep:
EnumAlone.enumNatFromRep :: [EnumAlone.Nat]
> [GblId,
> Str=DmdType,
> Unf=Unf{Src=<vanilla>, TopLvl=True, Arity=0, Value=False,
> ConLike=False, Cheap=False, Expandable=False,
> Guidance=IF_ARGS [] 30 0}]
> EnumAlone.enumNatFromRep =
> GHC.Base.map
> @ EnumAlone.RepNat
> @ EnumAlone.Nat
> EnumAlone.toNat
> EnumAlone.enumRepNat
>
> EnumAlone.enumRepNat [Occ=LoopBreaker] :: [EnumAlone.RepNat]
> [GblId, Str=DmdType]
> EnumAlone.enumRepNat =
> EnumAlone.|||
> @ (Data.Either.Either () EnumAlone.Nat) lvl4_rvV lvl5_rvW
>
Ah, it didn't even inline enumRepNat because it made it a loop breaker. We
certainly want to inline it, so let's add a pragma:
{-# INLINE enumRepNat #-}
>
Recompiling, we get:
EnumAlone.enumRepNat [InlPrag=INLINE (sat-args=0)]
> :: [EnumAlone.RepNat]
> [GblId,
> Str=DmdType,
> Unf=Unf{Src=InlineStable, TopLvl=True, Arity=0, Value=False,
> ConLike=False, Cheap=False, Expandable=False,
> Guidance=ALWAYS_IF(unsat_ok=False,boring_ok=False)
> Tmpl= EnumAlone.enumEither
> @ () @ EnumAlone.Nat EnumAlone.enumU
> EnumAlone.enumNatFromRep}]
> EnumAlone.enumRepNat =
> EnumAlone.|||
> @ (Data.Either.Either () EnumAlone.Nat) lvl4_rvV lvl5_rvW
>
> EnumAlone.enumNatFromRep [Occ=LoopBreaker] :: [EnumAlone.Nat]
> [GblId, Str=DmdType]
> EnumAlone.enumNatFromRep =
> GHC.Base.map
> @ EnumAlone.RepNat
> @ EnumAlone.Nat
> EnumAlone.toNat
> EnumAlone.enumRepNat
>
So no real difference in the generated code, other than the reassignment of
loop breakers. For some reason enumRepNat still doesn't get inlined.
*Question: why won't GHC inline enumRepNat, even when I tell it to do so
with an INLINE pragma?*
Well, let's inline it ourselves, then. We redefine enumNatFromRep to:
enumNatFromRep = map toNat (enumEither enumU enumNatFromRep)
>
This however doesn't help much. We get the following core:
lvl6_rw5 :: [Data.Either.Either () EnumAlone.Nat]
> [GblId]
> lvl6_rw5 =
> EnumAlone.|||
> @ (Data.Either.Either () EnumAlone.Nat) lvl4_rw3 lvl5_rw4
>
> EnumAlone.enumNatFromRep [Occ=LoopBreaker] :: [EnumAlone.Nat]
> [GblId, Str=DmdType]
> EnumAlone.enumNatFromRep =
> GHC.Base.map
> @ EnumAlone.RepNat @ EnumAlone.Nat EnumAlone.toNat lvl6_rw5
>
GHC is really keen on floating that (|||) out. Let's be very explicit about
inlining:
{-# INLINE toNat #-}
> {-# INLINE enumU #-}
> {-# INLINE enumEither #-}
>
Also, maybe it's floating it out because it doesn't have anything else to
do to it. Let's add the free theorem of (|||) as a rule:
{-# RULES "ft |||" forall f a b. map f (a ||| b) = map f a ||| map f b #-}
>
We needed this in our manual derivation, so GHC should need it too.
Recompiling, we see we've made some progress:
lvl5_ryv :: [Data.Either.Either () EnumAlone.Nat]
> [GblId]
> lvl5_ryv =
> GHC.Base.map
> @ EnumAlone.Nat
> @ (Data.Either.Either () EnumAlone.Nat)
> (Data.Either.Right @ () @ EnumAlone.Nat)
> EnumAlone.enumNatFromRep
>
> lvl6_ryw :: [EnumAlone.Nat]
> [GblId]
> lvl6_ryw =
> GHC.Base.map
> @ (Data.Either.Either () EnumAlone.Nat)
> @ EnumAlone.Nat
> EnumAlone.toNat
> lvl5_ryv
>
> EnumAlone.enumNatFromRep [Occ=LoopBreaker] :: [EnumAlone.Nat]
> [GblId, Str=DmdType]
> EnumAlone.enumNatFromRep =
> EnumAlone.||| @ EnumAlone.Nat lvl4_ryu lvl6_ryw
>
enumNatFromRep finally starts with (|||) directly. But its second argument,
lvl6_ryw, is a map of lvl5_ryv, which is itself a map! At this stage I
expected GHC to be aware of the fusion law for map, but it seems that it
isn't.
*Question: why is map fusion not happening automatically?*
Let's add it as a rule:
{-# RULES "map/map1" forall f g l. map f (map g l) = map (f . g) l #-}
>
And now we're in a much better situation:
lvl3_ryD :: [Data.Either.Either () EnumAlone.Nat]
> [GblId, Caf=NoCafRefs]
> lvl3_ryD =
> GHC.Types.:
> @ (Data.Either.Either () EnumAlone.Nat)
> EnumAlone.fromNat1
> (GHC.Types.[] @ (Data.Either.Either () EnumAlone.Nat))
>
> lvl4_ryE :: [EnumAlone.Nat]
> [GblId]
> lvl4_ryE =
> GHC.Base.map
> @ (Data.Either.Either () EnumAlone.Nat)
> @ EnumAlone.Nat
> EnumAlone.toNat
> lvl3_ryD
>
> lvl5_ryF :: [EnumAlone.Nat]
> [GblId]
> lvl5_ryF =
> GHC.Base.map
> @ EnumAlone.Nat
> @ EnumAlone.Nat
> EnumAlone.Su
> EnumAlone.enumNatFromRep
>
> EnumAlone.enumNatFromRep [Occ=LoopBreaker] :: [EnumAlone.Nat]
> [GblId, Str=DmdType]
> EnumAlone.enumNatFromRep =
> EnumAlone.||| @ EnumAlone.Nat lvl4_ryE lvl5_ryF
>
Note how toNat is entirely gone from the second part of the enumeration
(lvl5_ryF). Strangely enough, the enumerator for Ze (lvl4_ryE) is still
very complicated: map toNat ([Left ()]). Why doesn't GHC simplify this to
just [Ze]? Apparently because GHC doesn't simplify map over a single
element list.
*Question: why doesn't GHC optimise map f [x] to [f x]?*
Let's tell it to do so:
{-# RULES "map/map2" forall f x. map f (x:[]) = (f x):[] #-}
>
Now we're finally where we wanted:
lvl_ryA :: [EnumAlone.Nat]
> [GblId, Caf=NoCafRefs]
> lvl_ryA =
> GHC.Types.:
> @ EnumAlone.Nat EnumAlone.Ze (GHC.Types.[] @ EnumAlone.Nat)
>
> lvl3_ryD :: [EnumAlone.Nat]
> [GblId]
> lvl3_ryD =
> GHC.Base.map
> @ EnumAlone.Nat
> @ EnumAlone.Nat
> EnumAlone.Su
> EnumAlone.enumNatFromRep
>
> EnumAlone.enumNatFromRep [Occ=LoopBreaker] :: [EnumAlone.Nat]
> [GblId, Str=DmdType]
> EnumAlone.enumNatFromRep =
> EnumAlone.||| @ EnumAlone.Nat lvl_ryA lvl3_ryD
>
This is what I wanted: no more representation types (Either or ()), and the
code looks exactly like what is generated for the handwritten enumNat.
More realistic generic programming
Now let's see if we can transport this to the setting of a generic
programming library. I'll use a bare-bones version of GHC.Generics:
infixr 5 :+:
> infixr 6 :*:
>
> data U = U deriving (Show, Read)
> data a :+: b = L a | R b deriving (Show, Read)
> data a :*: b = a :*: b deriving (Show, Read)
> newtype Var a = Var a deriving (Show, Read)
> newtype Rec a = Rec a deriving (Show, Read)
>
> class Representable a where
> type Rep a
> to :: Rep a -> a
> from :: a -> Rep a
>
Let's represent Nat in this library:
instance Representable Nat where
> type Rep Nat = U :+: (Rec Nat)
> from Ze = L U
> from (Su n) = R (Rec n)
> to (L U) = Ze
> to (R (Rec n)) = Su n
>
(Note, in particular, that we do not need INLINE pragmas on the from/to
methods. This might just be because GHC thinks these are small and inlines
them anyway, but in general we want to make sure they are inlined, so we
typically use pragmas there.)
Now we need to implement enumeration generically. We do this by giving an
instance for each representation type:
class GEnum' a where
> genum' :: [a]
>
> instance GEnum' U where
> {-# INLINE genum' #-}
> genum' = [U]
>
> instance (GEnum a) => GEnum' (Rec a) where
> {-# INLINE genum' #-}
> genum' = map Rec genum
>
> instance (GEnum a) => GEnum' (Var a) where
> {-# INLINE genum' #-}
> genum' = map Var genum
>
> instance (GEnum' f, GEnum' g) => GEnum' (f :+: g) where
> {-# INLINE genum' #-}
> genum' = map L genum' ||| map R genum'
>
> instance (GEnum' f, GEnum' g) => GEnum' (f :*: g) where
> {-# INLINE genum' #-}
> --genum' = diag [ [ x :*: y | y <- genum' ] | x <- genum' ]
> genum' = diag (map (\x -> map (\y -> x :*: y) genum') genum')
>
We explicitly tell GHC to inline each case, as before. Note that for
products I'm not using the more natural list comprehension syntax because I
don't quite understand how that gets translated into core.
In the cases for Var and Rec we use genum from the GEnum class:
class GEnum a where
> genum :: [a]
> {-# INLINE genum #-}
> default genum :: (Representable a, GEnum' (Rep a)) => [a]
> genum = map to genum'
>
GEnum' is the class used for instantiating the generic representation
types, and GEnum is used for user types. We use a default signature to
provide a default method that can be used when we have a Representable
instance for the type in question. This makes instantiating Nat very easy:
instance GEnum Nat
>
Unfortunately, the core code generated in this situation (with the same
RULES as before) is not nice at all:
Main.$fGEnumNat_$cgenum [Occ=LoopBreaker] :: [Base.Nat]
> [GblId, Str=DmdType]
> Main.$fGEnumNat_$cgenum =
> GHC.Base.map
> @ (Base.Rep Base.Nat)
> @ Base.Nat
> Base.$fRepresentableNat_$cto
> (lvl37_r79y
> `cast` (Sym (GEnum.NTCo:GEnum') <Base.U Base.:+: (Base.Rec Base.Nat)>
> ;
> (GEnum.GEnum' (Sym
> (Base.TFCo:R:RepNat)) ;
> GEnum.NTCo:GEnum' <Base.Rep
> Base.Nat>)
> :: [Base.C Base.Nat_Ze_ Base.U
> Base.:+: Base.C Base.Nat_Su_ (Base.Rec Base.Nat)]
> ~#
> [Base.Rep Base.Nat]))
>
We see a map of the `to` function, which is definitely not what we want.
Oddly enough, if we give an explicit definition of genum for Nat, with the
inlined default...
instance GEnum Nat where genum = map to genum'
>
... then we get the optimised code we want:
lvl34_r79p :: [Base.Nat]
> [GblId, Caf=NoCafRefs]
> lvl34_r79p =
> GHC.Types.: @ Base.Nat Base.Ze (GHC.Types.[] @ Base.Nat)
>
> lvl35_r79q :: [Base.Nat]
> [GblId]
> lvl35_r79q =
> GHC.Base.map @ Base.Nat @ Base.Nat Base.Su Main.$fGEnumNat_$cgenum
>
> Main.$fGEnumNat_$cgenum [Occ=LoopBreaker] :: [Base.Nat]
> [GblId, Str=DmdType]
> Main.$fGEnumNat_$cgenum =
> GEnum.||| @ Base.Nat lvl34_r79p lvl35_r79q
>
Again, no representation types, no `to`, just the same code that is
generated for enumNat. Perfect. But we had to avoid using the default
definition, which is a pity.
*Question: why won't GHC inline the default method of a class, even when I
have a pragma telling it to do so?*
Let's look at one more datatype, because Nat does not use products. So
let's consider trees:
data Tree a = Leaf | Bin a (Tree a) (Tree a)
>
> instance Representable (Tree a) where
> type Rep (Tree a) = U :+: (Var a :*: Rec (Tree a) :*: Rec (Tree a))
> from (Bin x l r) = R (Var x :*: Rec l :*: Rec r)
> from Leaf = L U
> to (R (Var x :*: (Rec l) :*: (Rec r))) = Bin x l r
> to (L U) = Leaf
>
We give a GEnum instance using the same trick as before:
instance GEnum (Tree Int) where genum = map to genum'
>
(For simplicity only for trees of integers.) The generated code for trees
is unfortunately not as nice:
a2_r79M
> :: [Base.Rec (Base.Tree GHC.Types.Int)
> Base.:*: Base.Rec (Base.Tree GHC.Types.Int)
> [GblId, Str=DmdType]
> a2_r79M =
> GEnum.diag
> @ (Base.Rec (Base.Tree GHC.Types.Int)
> Base.:*: Base.Rec (Base.Tree GHC.Types.Int))
> lvl8_r79L
>
> lvl9_r79N :: [Base.Tree GHC.Types.Int]
> [GblId]
> lvl9_r79N =
> GHC.Base.map
> @ (Base.Rec (Base.Tree GHC.Types.Int)
> Base.:*: Base.Rec (Base.Tree GHC.Types.Int))
> @ (Base.Tree GHC.Types.Int)
> lvl5_r79H
> a2_r79M
>
> Main.$fGEnumTree_$cgenum [Occ=LoopBreaker]
> :: [Base.Tree GHC.Types.Int]
> [GblId, Str=DmdType]
> Main.$fGEnumTree_$cgenum =
> GEnum.||| @ (Base.Tree GHC.Types.Int) lvl4_r79G lvl9_r79N
>
Note how lvl9_r79N is a map over a2_r79M, and a2_r79M is a `diag`. Ok, we
need the free theorem of `diag` to tell GHC how to commute the `diag` with
map:
{-# RULES "ft/diag" forall f l. map f (diag l) = diag (map (map f) l) #-}
>
Unfortunately this doesn't change the generated core code. With some more
debugging looking at the generated code at each simplifier iteration, I
believe that this is because a2_r79M got lifted out too soon, prevent the
rule from applying. With some imagination I decided to try the
-fno-full-laziness flag to prevent let-floating. I'm not sure this is a
good idea in general, but in this particular case it gives much better
results:
a1_r72i :: [Base.Rec (Base.Tree GHC.Types.Int)
> [GblId, Str=DmdType]
> a1_r72i =
> GHC.Base.map
> @ (Base.Tree GHC.Types.Int)
> @ (Base.Rec (Base.Tree GHC.Types.Int))
> ((\ (tpl_B1 :: Base.Tree GHC.Types.Int) -> tpl_B1)
> `cast` (<Base.Tree GHC.Types.Int>
> -> Sym (Base.NTCo:Rec <Base.Tree GHC.Types.Int>)
> :: (Base.Tree GHC.Types.Int -> Base.Tree GHC.Types.Int)
> ~#
> (Base.Tree GHC.Types.Int -> Base.Rec (Base.Tree
> GHC.Types.Int))))
> Main.$fGEnumTree_$cgenum
>
> Main.$fGEnumTree_$cgenum [Occ=LoopBreaker]
> :: [Base.Tree GHC.Types.Int]
> [GblId, Str=DmdType]
> Main.$fGEnumTree_$cgenum =
> GEnum.|||
> @ (Base.Tree GHC.Types.Int)
> (GHC.Types.:
> @ (Base.Tree GHC.Types.Int)
> (Base.Leaf @ GHC.Types.Int)
> (GHC.Types.[] @ (Base.Tree GHC.Types.Int)))
> (GEnum.diag
> @ (Base.Tree GHC.Types.Int)
> (GHC.Base.map
> @ (Base.Rec (Base.Tree GHC.Types.Int))
> @ [Base.Tree GHC.Types.Int]
> (\ (x_a1yQ :: Base.Rec (Base.Tree GHC.Types.Int)) ->
> GHC.Base.map
> @ (Base.Rec (Base.Tree GHC.Types.Int))
> @ (Base.Tree GHC.Types.Int)
> (\ (x1_X1zB :: Base.Rec (Base.Tree GHC.Types.Int)) ->
> Base.Bin
> @ GHC.Types.Int
> a_r72h
> (x_a1yQ
> `cast` (Base.NTCo:Rec <Base.Tree GHC.Types.Int>
> :: Base.Rec (Base.Tree GHC.Types.Int) ~#
> Base.Tree GHC.Types.Int))
> (x1_X1zB
> `cast` (Base.NTCo:Rec <Base.Tree GHC.Types.Int>
> :: Base.Rec (Base.Tree GHC.Types.Int) ~#
> Base.Tree GHC.Types.Int)))
> a1_r72i)
> a1_r72i))
>
Note how our enum is now of the shape `[Leaf] ||| diag y`, which is good.
The only catch is that there are some `Rec`s still laying around, with
their associated newtype coercions, and a function a1_r72i that basically
wraps the recursive enumeration in a Rec, only to be unwrapped in the body
of `$fGEnumTree_$cgenum`. I don't know how to get GHC to simplify this code
any further.
*Question: why do I need -fno-full-laziness for the ft/diag rule to apply?*
*Question: why is GHC not getting rid of the Rec newtype in this case?*
I have also played with -O2, in particular because of the SpecConstr
optimisation, but found that it does not affect these particular examples
(perhaps it only becomes important with larger datatypes). I have also
experimented with phase control in the rewrite rules and the inline
pragmas, but didn't find it necessary for this example. In general, anyway,
my experience with the inliner is that it is extremely fragile, especially
across different GHC versions, and it's hard to get any guarantees of
optimisation. I have also played with the -funfolding-* options before,
with mixed results. [1] It's also a pity that certain flags are not
explained in detail in the user's manual [2,3], like -fliberate-case, and
-fspec-constr-count and threshold, for instance.
Thank you for reading this. Any insights are welcome. In particular, I'm
wondering if I might be missing some details regarding strictness.
Cheers,
Pedro
[1] http://dreixel.net/research/pdf/ogie.pdf
[2]
http://www.haskell.org/ghc/docs/latest/html/users_guide/flag-reference.html
[3]
http://www.haskell.org/ghc/docs/latest/html/users_guide/options-optimise.ht…
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======================================================================
CALL FOR PAPERS
WGP 2012
8th ACM SIGPLAN Workshop on Generic Programming
Copenhagen, Denmark
Sunday, September 9th, 2012
http://www.wgp-sigplan.org/2012
Co-located with the
International Conference on Functional Programming (ICFP 2012)
======================================================================
Goals of the workshop
---------------------
Generic programming is about making programs more adaptable by making
them more general. Generic programs often embody non-traditional kinds
of polymorphism; ordinary programs are obtained from them by suitably
instantiating their parameters. In contrast with normal programs, the
parameters of a generic program are often quite rich in structure; for
example they may be other programs, types or type constructors, class
hierarchies, or even programming paradigms.
Generic programming techniques have always been of interest, both to
practitioners and to theoreticians, and, for at least 20 years,
generic programming techniques have been a specific focus of research
in the functional and object-oriented programming communities. Generic
programming has gradually spread to more and more mainstream
languages, and today is widely used in industry. This workshop brings
together leading researchers and practitioners in generic programming
from around the world, and features papers capturing the state of the
art in this important area.
We welcome contributions on all aspects, theoretical as well as
practical, of
* generic programming,
* programming with (C++) concepts,
* meta-programming,
* programming with type classes,
* programming with modules,
* programming with dependent types,
* type systems for generic programming,
* polytypic programming,
* adaptive object-oriented programming,
* component-based programming,
* strategic programming,
* aspect-oriented programming,
* family polymorphism,
* object-oriented generic programming,
* implementation of generic programming languages,
* static and dynamic analyses of generic programs,
* and so on.
Program Committee
-----------------
Anya Helene Bagge, University of Bergen
Jacques Carette, McMaster University
Manuel Chakravarty, University of New South Wales
Ronald Garcia (co-chair), University of British Columbia
Jacques Garrigue, Nagoya University
Andy Gill, University of Kansas
Douglas Gregor, Apple
Andrew Kennedy, Microsoft Research Cambridge
Neelakantan Krishnaswami, Max Planck Institute for Software Systems
Andres Löh (co-chair), Well-Typed LLP
Zoltan Porkolab, Eötvös Loránd University
Chung-chieh Shan, University of Tsukuba
Proceedings and Copyright
-------------------------
We plan to have formal proceedings, published by the ACM. Authors must
transfer copyright to ACM upon acceptance (for government work, to the
extent transferable), but retain various rights
(http://www.acm.org/publications/policies/copyright_policy) Authors are
encouraged to publish auxiliary material with their paper (source code,
test data, etc.); they retain copyright of auxiliary material.
Submission details
------------------
Deadline for submission: Friday 2012-06-01
Notification of acceptance: Wednesday 2012-06-27
Final submission due: Tuesday 2012-07-10
Workshop: Sunday 2012-09-09
Papers should be submitted via EasyChair at
https://www.easychair.org/conferences/?conf=wgp2012
Submitted papers should be in portable document format (PDF), formatted
using the ACM SIGPLAN style guidelines (two-column, 9pt). The length is
restricted to 12 pages.
Travel Support
--------------
Student attendees with accepted papers can apply for a SIGPLAN PAC grant
to help cover travel expenses. PAC also offers other support, such as
for child-care expenses during the meeting or for travel costs for
companions of SIGPLAN members with physical disabilities, as well as for
travel from locations outside of North America and Europe. For details
on the PAC program, see its web page (http://www.sigplan.org/PAC.htm)
History of the Workshop on Generic Programming
----------------------------------------------
Earlier Workshops on Generic Programming have been held in
* Tokyo, Japan 2011 (affiliated with ICFP11),
* Baltimore, Maryland, US 2010 (affiliated with ICFP10),
* Edinburgh, UK 2009 (affiliated with ICFP09),
* Victoria, BC, Canada 2008 (affiliated with ICFP),
* Portland 2006 (affiliated with ICFP),
* Ponte de Lima 2000 (affiliated with MPC),
* Marstrand 1998 (affiliated with MPC).
Furthermore, there were a few informal workshops
* Utrecht 2005 (informal workshop),
* Dagstuhl 2002 (IFIP WG2.1 Working Conference),
* Nottingham 2001 (informal workshop).
There were also (closely related) DGP workshops in Oxford (June
3-4 2004), and a Spring School on DGP in Nottingham (April 24-27
2006, which had a half-day workshop attached).
WGP Steering Committee
----------------------
Patrik Jansson (chair)
Sibylle Schupp
Bruno Oliveira
Marcin Zalewski
Jaako Järvi
Shin-Cheng Mu
Jeremy Gibbons
Magne Haveraaen
Tim Sheard
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