lattice/latticegpu.jl
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Working HMC for SU(2) and SU(3)

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This commit is contained in:
Alberto Ramos 2021-07-28 13:50:32 +02:00
parent f6be70070e
commit c378648508
6 changed files with 119 additions and 40 deletions
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52
src/YM/YMfields.jl
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@ -21,6 +21,10 @@ function field(::Type{T}, lp::SpaceParm) where {T <: Union{Group, Algebra}}
zeros(Float64, sz)))
elseif (T == SU3)
As = StructArray{SU3}((ones(ComplexF64, sz), zeros(ComplexF64, sz), zeros(ComplexF64, sz), zeros(ComplexF64, sz), ones(ComplexF64, sz), zeros(ComplexF64, sz)))
# As = Array{SU3, lp.ndim+1}(undef, sz)
# CUDA.@sync begin
# CUDA.@cuda threads=kp.threads blocks=kp.blocks krnl_SU3_zero!(As, lp)
# end
elseif (T == SU3alg)
As = StructArray{SU3alg}((zeros(Float64, sz),
zeros(Float64, sz),
@ -30,6 +34,11 @@ function field(::Type{T}, lp::SpaceParm) where {T <: Union{Group, Algebra}}
zeros(Float64, sz),
zeros(Float64, sz),
zeros(Float64, sz)))
# As = Array{SU3alg, lp.ndim+1}(undef, sz)
# CUDA.@sync begin
# CUDA.@cuda threads=kp.threads blocks=kp.blocks krnl_SU3alg_zero!(As, lp)
# end
end
return replace_storage(CuArray, As)
@ -71,6 +80,9 @@ function zero!(X)
fill!(LazyRows(X).t6, 0.0)
fill!(LazyRows(X).t7, 0.0)
fill!(LazyRows(X).t8, 0.0)
# CUDA.@sync begin
# CUDA.@cuda threads=kp.threads blocks=kp.blocks krnl_SU3alg_zero!(X, lp)
# end
end
if (eltype(X) == SU2)
@ -85,6 +97,9 @@ function zero!(X)
fill!(LazyRows(X).u21, complex(0.0))
fill!(LazyRows(X).u22, complex(1.0))
fill!(LazyRows(X).u23, complex(0.0))
# CUDA.@sync begin
# CUDA.@cuda threads=kp.threads blocks=kp.blocks krnl_SU3_zero!(X, lp)
# end
end
return nothing
@ -97,7 +112,7 @@ function norm2(X)
d = CUDA.mapreduce(x->x^2, +, LazyRows(X).t1) +
CUDA.mapreduce(x->x^2, +, LazyRows(X).t2) +
CUDA.mapreduce(x->x^2, +, LazyRows(X).t3)
elseif (eltype(X) == SU2alg)
elseif (eltype(X) == SU3alg)
d = CUDA.mapreduce(x->x^2, +, LazyRows(X).t1) +
CUDA.mapreduce(x->x^2, +, LazyRows(X).t2) +
CUDA.mapreduce(x->x^2, +, LazyRows(X).t3) +
@ -106,7 +121,42 @@ function norm2(X)
CUDA.mapreduce(x->x^2, +, LazyRows(X).t6) +
CUDA.mapreduce(x->x^2, +, LazyRows(X).t7) +
CUDA.mapreduce(x->x^2, +, LazyRows(X).t8)
# d = CUDA.mapreduce(norm2, +, X)
end
return d
end
function krnl_SU3_zero!(G, lp::SpaceParm)
X = map2latt((CUDA.threadIdx().x,CUDA.threadIdx().y,CUDA.threadIdx().z),
(CUDA.blockIdx().x,CUDA.blockIdx().y,CUDA.blockIdx().z))
for id in 1:lp.ndim
G[X,id].u11 = complex(1.0)
G[X,id].u12 = complex(0.0)
G[X,id].u13 = complex(0.0)
G[X,id].u21 = complex(0.0)
G[X,id].u22 = complex(1.0)
G[X,id].u23 = complex(0.0)
end
return nothing
end
function krnl_SU3alg_zero!(G, lp::SpaceParm)
X = map2latt((CUDA.threadIdx().x,CUDA.threadIdx().y,CUDA.threadIdx().z),
(CUDA.blockIdx().x,CUDA.blockIdx().y,CUDA.blockIdx().z))
for id in 1:lp.ndim
G[X,id].t1 = 0.0
G[X,id].t2 = 0.0
G[X,id].t3 = 0.0
G[X,id].t4 = 0.0
G[X,id].t5 = 0.0
G[X,id].t6 = 0.0
G[X,id].t7 = 0.0
G[X,id].t8 = 0.0
end
return nothing
end