latticegpu.jl/src/YM/YMact.jl
Alberto Ramos 09a09153b9 Working multi-precision simulations
The pure gauge theory with groups SU(2) and SU(3) is working
properly.
2021-09-20 18:21:16 +02:00

164 lines
4.4 KiB
Julia

###
### "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: YMact.jl
### created: Mon Jul 12 18:31:19 2021
###
function krnl_plaq!(plx, U, ipl, lp::SpaceParm)
id1, id2 = lp.plidx[ipl]
b, r = CUDA.threadIdx().x, CUDA.blockIdx().x
bu1, ru1 = up((b, r), id1, lp)
bu2, ru2 = up((b, r), id2, lp)
@inbounds plx[b, r] = tr(U[b,id1,r]*U[bu1,id2,ru1] / (U[b,id2,r]*U[bu2,id1,ru2]))
return nothing
end
function krnl_plaq!(plx, U, lp::SpaceParm)
b, r = CUDA.threadIdx().x, CUDA.blockIdx().x
plx[b,r] = zero(plx[b,r])
@inbounds for ipl in 1:lp.npls
id1, id2 = lp.plidx[ipl]
bu1, ru1 = up((b, r), id1, lp)
bu2, ru2 = up((b, r), id2, lp)
plx[b,r] += tr(U[b,id1,r]*U[bu1,id2,ru1] / (U[b,id2,r]*U[bu2,id1,ru2]))
end
return nothing
end
function krnl_force_wilson_pln!(frc1, frc2, U, ipl, lp::SpaceParm)
b, r = CUDA.threadIdx().x, CUDA.blockIdx().x
@inbounds begin
id1, id2 = lp.plidx[ipl]
bu1, ru1 = up((b, r), id1, lp)
bu2, ru2 = up((b, r), id2, lp)
g1 = U[bu1,id2,ru1]/U[bu2,id1,ru2]
g2 = U[b,id2,r]\U[b,id1,r]
F1 = projalg(U[b,id1,r]*g1/U[b,id2,r])
F2 = projalg(g1*g2)
F3 = projalg(g2*g1)
frc1[b ,id1, r ] -= F1
frc1[b ,id2, r ] += F1
frc2[bu1,id2,ru1] -= F2
frc2[bu2,id1,ru2] += F3
end
return nothing
end
function krnl_force_wilson_nw!(fpl, U, lp::SpaceParm)
b = CUDA.threadIdx().x
ipl = mod1(CUDA.blockIdx().x, lp.npls)
r = div(CUDA.blockIdx().x-1, lp.npls)+1
@inbounds begin #for ipl in 1:lp.npls
id1, id2 = lp.plidx[ipl]
bu1, ru1 = up((b, r), id1, lp)
bu2, ru2 = up((b, r), id2, lp)
g1 = U[bu1,id2,ru1]/U[bu2,id1,ru2]
g2 = U[b,id2,r]\U[b,id1,r]
F1 = projalg(U[b,id1,r]*g1/U[b,id2,r])
F2 = projalg(g1*g2)
F3 = projalg(g2*g1)
fpl[b ,ipl, r ,1,1] = -F1
fpl[b ,ipl, r ,2,1] = F1
fpl[bu1,ipl, ru1,2,2] = -F2
fpl[bu2,ipl, ru2,1,2] = F3
end
return nothing
end
function krnl_force_wilson!(frc, U, lp::SpaceParm)
b, r = CUDA.threadIdx().x, CUDA.blockIdx().x
@inbounds for id1 in 1:lp.ndim
bu1, ru1, bd1, rd1 = updw((b, r), id1, lp)
@inbounds for id2 in id1+1:lp.ndim
bu2, ru2, bd2, rd2 = updw((b, r), id2, lp)
bud, rud = dw((bu1,ru1), id2, lp)
bdu, rdu = dw((bu2,ru2), id1, lp)
F1 = projalg(U[b,id1,r]*U[bu1,id2,ru1]/(U[b,id2,r]*U[bu2,id1,ru2]))
F2 = projalg((U[b,id2,r]/(U[bd1,id2,rd1]*U[bdu,id1,rdu]))*U[bd1,id1,rd1])
F3 = projalg((U[bd2,id2,rd2]\U[bd2,id1,rd2])*(U[bud,id2,rud]/U[b,id1,r]))
frc[b,id1,r] -= F1 - F3
frc[b,id2,r] += F1 - F2
end
end
return nothing
end
function krnl_add_force_plns!(frc, fpl, lp::SpaceParm)
b, r = CUDA.threadIdx().x, CUDA.blockIdx().x
@inbounds for ipl in 1:lp.npls
id1, id2 = lp.plidx[ipl]
frc[b,id1,r] += fpl[b,ipl,r,1,1] + fpl[b,ipl,r,1,2]
frc[b,id2,r] += fpl[b,ipl,r,2,1] + fpl[b,ipl,r,2,2]
end
return nothing
end
function force0_wilson_pln!(frc1, ftmp, U, lp::SpaceParm)
fill!(frc1, zero(eltype(frc1)))
fill!(ftmp, zero(eltype(ftmp)))
for i in 1:lp.npls
CUDA.@sync begin
CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_force_wilson_pln!(frc1,ftmp,U,i,lp)
end
end
frc1 .= frc1 .+ ftmp
return nothing
end
function force0_wilson!(frc1, U, lp::SpaceParm)
fill!(frc1, zero(eltype(frc1)))
CUDA.@sync begin
CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_force_wilson!(frc1,U,lp)
end
return nothing
end
function force0_wilson_nw!(frc1, fpln, U, lp::SpaceParm)
CUDA.@sync begin
CUDA.@cuda threads=lp.bsz blocks=lp.rsz*lp.npls krnl_force_wilson_nw!(fpln,U,lp)
end
fill!(frc1, zero(eltype(frc1)))
CUDA.@sync begin
CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_add_force_plns!(frc1, fpln,lp)
end
return nothing
end