-- -- Fluid simulation -- module Fluid ( Simulation, fluid ) where import Type import Data.Array.Accelerate ( Z(..), (:.)(..), Exp, Acc, Scalar, Vector, (?|), (==*) ) import qualified Data.Array.Accelerate as A type Simulation = Acc ( Scalar Timestep -- time to evolve the simulation , DensitySource -- locations to add density sources , VelocitySource -- locations to add velocity sources , DensityField -- the current density field , VelocityField ) -- the current velocity field -> Acc ( DensityField, VelocityField ) -- A fluid simulation -- fluid :: Viscosity -> Diffusion -> Simulation fluid dp dn inputs = let (dt, ds, vs, df, vf) = A.unlift inputs df' = density dn dt ds vf df vf' = velocity dp dt vs vf in A.lift (df', vf') -- The velocity over a timestep evolves due to three causes: -- 1. the addition of forces -- 2. viscous diffusion -- 3. self-advection -- velocity :: Viscosity -> Acc (Scalar Timestep) -> Acc VelocitySource -> Acc VelocityField -> Acc VelocityField velocity dp dt vs vf0 = project . advect dt vf0 . project . diffuse dp dt $ inject vs vf0 -- Ensure the velocity field conserves mass -- project :: Acc VelocityField -> Acc VelocityField project vf = A.stencil2 poisson A.Mirror vf A.Mirror p where steps = 20 grad = A.stencil divF A.Mirror vf p1 = A.stencil2 pF (A.Constant 0) grad A.Mirror p = foldl1 (.) (replicate steps p1) grad poisson :: A.Stencil3x3 Velocity -> A.Stencil3x3 Float -> Exp Velocity poisson (_,(_,uv,_),_) ((_,t,_), (l,_,r), (_,b,_)) = uv .-. 0.5 .*. A.lift (r-l, t-b) divF :: A.Stencil3x3 Velocity -> Exp Float divF ((_,t,_), (l,_,r), (_,b,_)) = -0.5 * (A.fst r - A.fst l + A.snd t - A.snd b) pF :: A.Stencil3x3 Float -> A.Stencil3x3 Float -> Exp Float pF (_,(_,x,_),_) ((_,t,_), (l,_,r), (_,b,_)) = 0.25 * (x + l + t + r + b) -- The density over a timestep evolves due to three causes: -- 1. the addition of source particles -- 2. self-diffusion -- 3. motion through the velocity field -- density :: Diffusion -> Acc (Scalar Timestep) -> Acc DensitySource -> Acc VelocityField -> Acc DensityField -> Acc DensityField density dn dt ds vf = advect dt vf . diffuse dn dt . inject ds -- Inject sources into the field -- -- TLM: sources should be a vector of (index, value) pairs, but no fusion means -- that extracting the components for permute (via unzip) is extra work. -- inject :: FieldElt e => Acc (Vector Index, Vector e) -> Acc (Field e) -> Acc (Field e) inject source field = let (is, ps) = A.unlift source in A.size ps ==* 0 ?| ( field, A.permute (.+.) field (is A.!) ps ) diffuse :: FieldElt e => Diffusion -> Acc (Scalar Timestep) -> Acc (Field e) -> Acc (Field e) diffuse dn dt df0 = a ==* 0 ?| ( df0 , foldl1 (.) (replicate steps diffuse1) df0 ) where steps = 20 a = A.the dt * A.constant dn * (A.fromIntegral (A.size df0)) c = 1 + 4*a diffuse1 df = A.stencil2 relax (A.Constant zero) df0 A.Mirror df relax :: FieldElt e => A.Stencil3x3 e -> A.Stencil3x3 e -> Exp e relax (_,(_,x0,_),_) ((_,t,_), (l,_,r), (_,b,_)) = (x0 .+. a .*. (l.+.t.+.r.+.b)) ./. c advect :: FieldElt e => Acc (Scalar Timestep) -> Acc VelocityField -> Acc (Field e) -> Acc (Field e) advect dt' vf df = A.generate sh backtrace where dt = A.the dt' sh = A.shape vf Z :. h :. w = A.unlift sh backtrace ix = s0.*.(t0.*.d00 .+. t1.*.d10) .+. s1.*.(t0.*.d01 .+. t1.*.d11) where Z:.j:.i = A.unlift ix (u, v) = A.unlift (vf A.! ix) -- backtrack densities based on velocity field clamp z = A.max 0.5 . A.min (A.fromIntegral z - 1.5) x = w `clamp` (A.fromIntegral i - dt * u) y = h `clamp` (A.fromIntegral j - dt * v) -- discrete locations surrounding point i0 = A.truncate x j0 = A.truncate y i1 = i0 + 1 j1 = j0 + 1 -- weighting based on location between the discrete points s1 = x - A.fromIntegral i0 t1 = y - A.fromIntegral j0 s0 = 1 - s1 t0 = 1 - t1 -- read the density values surrounding the calculated advection point d00 = df A.! A.lift (Z :. j0 :. i0) d10 = df A.! A.lift (Z :. j1 :. i0) d01 = df A.! A.lift (Z :. j0 :. i1) d11 = df A.! A.lift (Z :. j1 :. i1)