Added routine to measure SF coupling

This commit is contained in:
Alberto Ramos 2021-10-26 15:39:15 +02:00
parent e9670762f8
commit 551b0dd4f2
3 changed files with 72 additions and 0 deletions

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@ -41,5 +41,6 @@ using .YM
export YMworkspace, GaugeParm, force0_wilson!, field, field_pln, randomize!, zero!, norm2 export YMworkspace, GaugeParm, force0_wilson!, field, field_pln, randomize!, zero!, norm2
export gauge_action, hamiltonian, plaquette, HMC!, OMF4! export gauge_action, hamiltonian, plaquette, HMC!, OMF4!
export wfl_euler, wfl_rk3, zfl_euler, zfl_rk3, Eoft_clover, Eoft_plaq, Qtop export wfl_euler, wfl_rk3, zfl_euler, zfl_rk3, Eoft_clover, Eoft_plaq, Qtop
export sfcoupling
end # module end # module

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@ -125,4 +125,7 @@ export gauge_action, hamiltonian, plaquette, HMC!, OMF4!
include("YMflow.jl") include("YMflow.jl")
export wfl_euler, wfl_rk3, zfl_euler, zfl_rk3, Eoft_clover, Eoft_plaq, Qtop export wfl_euler, wfl_rk3, zfl_euler, zfl_rk3, Eoft_clover, Eoft_plaq, Qtop
include("YMsf.jl")
export sfcoupling
end end

68
src/YM/YMsf.jl Normal file
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@ -0,0 +1,68 @@
###
### "THE BEER-WARE LICENSE":
### Alberto Ramos wrote this file. As long as you retain this
### notice you can do whatever you want with this stuff. If we meet some
### day, and you think this stuff is worth it, you can buy me a beer in
### return. <alberto.ramos@cern.ch>
###
### file: YMsf.jl
### created: Tue Oct 26 14:50:55 2021
###
const SR3 = 1.73205080756887729352744634151
const SR3x2 = 3.46410161513775458705489268302
function sfcoupling(U, lp::SpaceParm, gp::GaugeParm, ymws::YMworkspace)
if lp.iL[end] < 4
error("Array too small to store partial sums")
end
tmp = zeros(T,lp.iL[end])
@timeit "SF coupling measurement" begin
CUDA.@sync begin
CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_sfcoupling!(ymws.rm, U, gp.Ubnd, lp)
end
end
tp = ntuple(i->i, N-1)
V3 = prod(lp.iL[1:end-1])
tmp .= reshape(Array(CUDA.reduce(+, ymws.rm;dims=tp)),lp.iL[end])
dsdeta = (gp.beta/(2*gp.ng*V3))*(tmp[1] + tmp[end])
ddnu = (gp.beta/(2*gp.ng*V3))*(tmp[2] + tmp[end-1])
return dsdeta, ddnu
end
function krnl_sfcoupling!(rm, U::AbstractArray{T}, Ubnd::T, lp::SpaceParm{N,M,B,D}) where {T,N,M,B,D}
b, r = CUDA.threadIdx().x, CUDA.blockIdx().x
it = point_time((b, r), lp)
I = point_coord((b,r), lp)
rm[I] = zero(eltype(rm))
if (it == 1)
but, rut = up((b,r), N, lp)
IU = point_coord((but,rut), lp)
for id in 1:N-1
bu, ru = up((b,r), id, lp)
X = projalg(U[b,id,r]*U[bu,N,ru]/(U[b,N,r]*U[but,id,rut]))
rm[I] += 3*X.t7 + SR3 * X.t8
rm[IU] += 2*X.t7 - SR3x2 * X.t8
end
elseif (it == lp.iL[end])
bdt, rdt = up((b,r), N, lp)
ID = point_coord((bdt,rdt), lp)
for id in 1:N-1
bu, ru = up((b,r), id, lp)
X = projalg(Ubnd/(U[b,id,r]*U[bu,N,ru])*U[b,N,r])
rm[I] -= 3*X.t7 + SR3 * X.t8
rm[ID] += 2*X.t7 - SR3x2 * X.t8
end
end
return nothing
end