mirror of
https://igit.ific.uv.es/alramos/latticegpu.jl.git
synced 2025-05-15 19:53:41 +02:00
OBC Branch Merge
This commit is contained in:
Fernando P.Panadero
parent
d026a17b44
commit
bc06079664
7 changed files with 1726 additions and 808 deletions
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@ -30,7 +30,7 @@ function flw(U, psi, int::FlowIntr{NI,T}, ns::Int64, eps, gp::GaugeParm, dpar::D
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ymws.mom .= int.e0[k].*ymws.mom .+ int.e1[k].*ymws.frc1
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U .= expm.(U, ymws.mom, 2*eps)
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end
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end
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end
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end
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@ -86,7 +86,7 @@ function backflow(psi, U, Dt, maxnsave::Int64, gp::GaugeParm, dpar::DiracParam,
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@timeit "CPU to GPU" copyto!(U,U0)
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for j in dsave:-1:1
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@timeit "CPU to GPU" copyto!(U,U0)
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@timeit "CPU to GPU" copyto!(U,U0)
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for k in 1:j-1
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flw(U, int, 1, eps_all[k], gp, lp, ymws)
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end
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@ -154,83 +154,6 @@ function bflw_step!(psi, U, eps, int::FlowIntr, gp::GaugeParm, dpar::DiracParam
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return nothing
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end
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"""
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function Nablanabla!(so, U, si, dpar::DiracParam, dws::DiracWorkspace, lp::SpaceParm{4,6,B,D})
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Computes /`/` \\nabla^* \\nabla /`/` `si` and stores it in `si`.
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"""
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function Nablanabla!(so, U, si, dpar::DiracParam, dws::DiracWorkspace, lp::SpaceParm{4,6,B,D}) where {B,D}
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@timeit "Laplacian" begin
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_Nablanabla(so, U, si, dpar.th, lp)
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end
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end
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return nothing
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end
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function krnl_Nablanabla(so, U, si, th, lp::SpaceParm{4,6,B,D}) where {B,D}
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b = Int64(CUDA.threadIdx().x); r = Int64(CUDA.blockIdx().x)
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@inbounds begin
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so[b,r] = -4*si[b,r]
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bu1, ru1 = up((b,r), 1, lp)
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bd1, rd1 = dw((b,r), 1, lp)
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bu2, ru2 = up((b,r), 2, lp)
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bd2, rd2 = dw((b,r), 2, lp)
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bu3, ru3 = up((b,r), 3, lp)
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bd3, rd3 = dw((b,r), 3, lp)
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bu4, ru4 = up((b,r), 4, lp)
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bd4, rd4 = dw((b,r), 4, lp)
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so[b,r] += 0.5*( th[1] * (U[b,1,r]*si[bu1,ru1]) +conj(th[1]) * (U[bd1,1,rd1]\si[bd1,rd1]) +
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th[2] * (U[b,2,r]*si[bu2,ru2]) +conj(th[2]) * (U[bd2,2,rd2]\si[bd2,rd2]) +
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th[3] * (U[b,3,r]*si[bu3,ru3]) +conj(th[3]) * (U[bd3,3,rd3]\si[bd3,rd3]) +
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th[4] * (U[b,4,r]*si[bu4,ru4]) +conj(th[4]) * (U[bd4,4,rd4]\si[bd4,rd4]) )
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end
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return nothing
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end
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function krnl_Nablanabla(so, U, si, th, lp::Union{SpaceParm{4,6,BC_SF_ORBI,D},SpaceParm{4,6,BC_SF_AFWB,D}}) where {D}
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b = Int64(CUDA.threadIdx().x); r = Int64(CUDA.blockIdx().x)
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@inbounds begin
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if (point_time((b,r),lp) != 1)
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so[b,r] = -4*si[b,r]
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bu1, ru1 = up((b,r), 1, lp)
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bd1, rd1 = dw((b,r), 1, lp)
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bu2, ru2 = up((b,r), 2, lp)
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bd2, rd2 = dw((b,r), 2, lp)
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bu3, ru3 = up((b,r), 3, lp)
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bd3, rd3 = dw((b,r), 3, lp)
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bu4, ru4 = up((b,r), 4, lp)
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bd4, rd4 = dw((b,r), 4, lp)
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so[b,r] += 0.5*( th[1] * (U[b,1,r]*si[bu1,ru1]) +conj(th[1]) * (U[bd1,1,rd1]\si[bd1,rd1]) +
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th[2] * (U[b,2,r]*si[bu2,ru2]) +conj(th[2]) * (U[bd2,2,rd2]\si[bd2,rd2]) +
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th[3] * (U[b,3,r]*si[bu3,ru3]) +conj(th[3]) * (U[bd3,3,rd3]\si[bd3,rd3]) +
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th[4] * (U[b,4,r]*si[bu4,ru4]) +conj(th[4]) * (U[bd4,4,rd4]\si[bd4,rd4]) )
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end
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end
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return nothing
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end
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function flw_adapt(U, psi, int::FlowIntr{NI,T}, tend::T, epsini::T, gp::GaugeParm, dpar::DiracParam, lp::SpaceParm, ymws::YMworkspace, dws::DiracWorkspace) where {NI,T}
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@ -278,13 +201,123 @@ end
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flw_adapt(U, psi, int::FlowIntr{NI,T}, tend::T, gp::GaugeParm, dpar::DiracParam, lp::SpaceParm, ymws::YMworkspace, dws::DiracWorkspace) where {NI,T} = flw_adapt(U, psi, int, tend, int.eps_ini, gp, dpar, lp, ymws, dws)
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"""
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function Nablanabla!(so, U, si, dpar::DiracParam, dws::DiracWorkspace, lp::SpaceParm{4,6,B,D})
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Computes /`/` \\nabla^* \\nabla /`/` `si` and stores it in `si`.
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"""
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function Nablanabla!(so, U, si, dpar::DiracParam, dws::DiracWorkspace, lp::SpaceParm{4,6,BC_PERIODIC,D}) where {D}
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@timeit "Laplacian" begin
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_Nablanabla(so, U, si, dpar.th, lp)
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end
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end
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return nothing
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end
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function Nablanabla!(so, U, si, dpar::DiracParam, dws::DiracWorkspace, lp::Union{SpaceParm{4,6,BC_SF_ORBI,D},SpaceParm{4,6,BC_SF_AFWB,D},SpaceParm{4,6,BC_OPEN,D}}) where {D}
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SF_bndfix!(si,lp)
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@timeit "Laplacian" begin
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_Nablanabla(so, U, si, dpar.th, lp)
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end
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end
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SF_bndfix!(so,lp)
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return nothing
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end
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function krnl_Nablanabla(so, U, si, th, lp::SpaceParm{4,6,BC_OPEN,D}) where {D}
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b = Int64(CUDA.threadIdx().x); r = Int64(CUDA.blockIdx().x)
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@inbounds begin
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if ((point_time((b,r),lp) != 1) && (point_time((b,r),lp) != lp.iL[end]))
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so[b,r] = -4*si[b,r]
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bu1, ru1 = up((b,r), 1, lp)
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bd1, rd1 = dw((b,r), 1, lp)
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bu2, ru2 = up((b,r), 2, lp)
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bd2, rd2 = dw((b,r), 2, lp)
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bu3, ru3 = up((b,r), 3, lp)
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bd3, rd3 = dw((b,r), 3, lp)
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bu4, ru4 = up((b,r), 4, lp)
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bd4, rd4 = dw((b,r), 4, lp)
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so[b,r] += 0.5*( th[1] * (U[b,1,r]*si[bu1,ru1]) +conj(th[1]) * (U[bd1,1,rd1]\si[bd1,rd1]) +
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th[2] * (U[b,2,r]*si[bu2,ru2]) +conj(th[2]) * (U[bd2,2,rd2]\si[bd2,rd2]) +
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th[3] * (U[b,3,r]*si[bu3,ru3]) +conj(th[3]) * (U[bd3,3,rd3]\si[bd3,rd3]) +
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th[4] * (U[b,4,r]*si[bu4,ru4]) +conj(th[4]) * (U[bd4,4,rd4]\si[bd4,rd4]) )
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end
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end
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return nothing
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end
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function krnl_Nablanabla(so, U, si, th, lp::SpaceParm{4,6,BC_PERIODIC,D}) where {D}
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b = Int64(CUDA.threadIdx().x); r = Int64(CUDA.blockIdx().x)
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@inbounds begin
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so[b,r] = -4*si[b,r]
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bu1, ru1 = up((b,r), 1, lp)
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bd1, rd1 = dw((b,r), 1, lp)
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bu2, ru2 = up((b,r), 2, lp)
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bd2, rd2 = dw((b,r), 2, lp)
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bu3, ru3 = up((b,r), 3, lp)
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bd3, rd3 = dw((b,r), 3, lp)
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bu4, ru4 = up((b,r), 4, lp)
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bd4, rd4 = dw((b,r), 4, lp)
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so[b,r] += 0.5*( th[1] * (U[b,1,r]*si[bu1,ru1]) +conj(th[1]) * (U[bd1,1,rd1]\si[bd1,rd1]) +
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th[2] * (U[b,2,r]*si[bu2,ru2]) +conj(th[2]) * (U[bd2,2,rd2]\si[bd2,rd2]) +
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th[3] * (U[b,3,r]*si[bu3,ru3]) +conj(th[3]) * (U[bd3,3,rd3]\si[bd3,rd3]) +
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th[4] * (U[b,4,r]*si[bu4,ru4]) +conj(th[4]) * (U[bd4,4,rd4]\si[bd4,rd4]) )
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end
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return nothing
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end
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function krnl_Nablanabla(so, U, si, th, lp::Union{SpaceParm{4,6,BC_SF_ORBI,D},SpaceParm{4,6,BC_SF_AFWB,D}}) where {D}
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b = Int64(CUDA.threadIdx().x); r = Int64(CUDA.blockIdx().x)
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@inbounds begin
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if (point_time((b,r),lp) != 1)
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so[b,r] = -4*si[b,r]
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bu1, ru1 = up((b,r), 1, lp)
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bd1, rd1 = dw((b,r), 1, lp)
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bu2, ru2 = up((b,r), 2, lp)
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bd2, rd2 = dw((b,r), 2, lp)
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bu3, ru3 = up((b,r), 3, lp)
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bd3, rd3 = dw((b,r), 3, lp)
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bu4, ru4 = up((b,r), 4, lp)
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bd4, rd4 = dw((b,r), 4, lp)
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so[b,r] += 0.5*( th[1] * (U[b,1,r]*si[bu1,ru1]) +conj(th[1]) * (U[bd1,1,rd1]\si[bd1,rd1]) +
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th[2] * (U[b,2,r]*si[bu2,ru2]) +conj(th[2]) * (U[bd2,2,rd2]\si[bd2,rd2]) +
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th[3] * (U[b,3,r]*si[bu3,ru3]) +conj(th[3]) * (U[bd3,3,rd3]\si[bd3,rd3]) +
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th[4] * (U[b,4,r]*si[bu4,ru4]) +conj(th[4]) * (U[bd4,4,rd4]\si[bd4,rd4]) )
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end
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end
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return nothing
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end
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export Nablanabla!, flw, backflow, flw_adapt, bflw_step!
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"""
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function Dslash_sq!(so, U, si, dpar::DiracParam, dws::DiracWorkspace, lp::SpaceParm{4,6,B,D})
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Computes /`/` //slashed{D}^2 si /`/` ans stores it in `si`.
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@ -292,40 +325,40 @@ Computes /`/` //slashed{D}^2 si /`/` ans stores it in `si`.
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"""
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function Dslash_sq!(so, U, si, dpar::DiracParam, dws::DiracWorkspace, lp::SpaceParm{4,6,B,D}) where {B,D}
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@timeit "DwdagDw" begin
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@timeit "DwdagDw" begin
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@timeit "g5Dslsh" begin
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@timeit "g5Dslsh" begin
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_g5Dslsh!(dws.st, U, si, dpar.th, lp)
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end
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end
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end
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if abs(dpar.csw) > 1.0E-10
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@timeit "Dw_improvement" begin
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_g5Dslsh_impr!(dws.st, dws.csw, dpar.csw, si, lp)
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end
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if abs(dpar.csw) > 1.0E-10
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@timeit "Dw_improvement" begin
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_g5Dslsh_impr!(dws.st, dws.csw, dpar.csw, si, lp)
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end
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end
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end
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@timeit "g5Dslsh" begin
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@timeit "g5Dslsh" begin
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_g5Dslsh!(so, U, dws.st, dpar.th, lp)
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end
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end
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end
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if abs(dpar.csw) > 1.0E-10
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@timeit "Dw_improvement" begin
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_g5Dslsh_impr!(so, dws.csw, dpar.csw, dws.st, lp)
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end
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if abs(dpar.csw) > 1.0E-10
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@timeit "Dw_improvement" begin
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_g5Dslsh_impr!(so, dws.csw, dpar.csw, dws.st, lp)
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end
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end
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end
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end
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return nothing
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end
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@ -349,12 +382,12 @@ function krnl_g5Dslsh!(so, U, si, th, lp::Union{SpaceParm{4,6,BC_SF_ORBI,D},Spac
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bu4, ru4 = up((b,r), 4, lp)
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bd4, rd4 = dw((b,r), 4, lp)
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so[b,r] -= 0.5*(th[1]*gpmul(Pgamma{1,-1},U[b,1,r],si[bu1,ru1]) +conj(th[1])*gdagpmul(Pgamma{1,+1},U[bd1,1,rd1],si[bd1,rd1]) +
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th[2]*gpmul(Pgamma{2,-1},U[b,2,r],si[bu2,ru2]) +conj(th[2])*gdagpmul(Pgamma{2,+1},U[bd2,2,rd2],si[bd2,rd2]) +
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th[3]*gpmul(Pgamma{3,-1},U[b,3,r],si[bu3,ru3]) +conj(th[3])*gdagpmul(Pgamma{3,+1},U[bd3,3,rd3],si[bd3,rd3]) +
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th[4]*gpmul(Pgamma{4,-1},U[b,4,r],si[bu4,ru4]) +conj(th[4])*gdagpmul(Pgamma{4,+1},U[bd4,4,rd4],si[bd4,rd4]) )
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so[b,r] -= 0.5*(th[1]*gpmul(Pgamma{1,-1},U[b,1,r],si[bu1,ru1]) +conj(th[1])*gdagpmul(Pgamma{1,+1},U[bd1,1,rd1],si[bd1,rd1]) +
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th[2]*gpmul(Pgamma{2,-1},U[b,2,r],si[bu2,ru2]) +conj(th[2])*gdagpmul(Pgamma{2,+1},U[bd2,2,rd2],si[bd2,rd2]) +
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th[3]*gpmul(Pgamma{3,-1},U[b,3,r],si[bu3,ru3]) +conj(th[3])*gdagpmul(Pgamma{3,+1},U[bd3,3,rd3],si[bd3,rd3]) +
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th[4]*gpmul(Pgamma{4,-1},U[b,4,r],si[bu4,ru4]) +conj(th[4])*gdagpmul(Pgamma{4,+1},U[bd4,4,rd4],si[bd4,rd4]) )
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so[b,r] = dmul(Gamma{5}, so[b,r])
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so[b,r] = dmul(Gamma{5}, so[b,r])
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end
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end
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return nothing
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@ -369,19 +402,19 @@ function krnl_g5Dslsh!(so, U, si, th, lp::SpaceParm{4,6,B,D}) where {D,B}
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so[b,r] = 4*si[b,r]
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bu1, ru1 = up((b,r), 1, lp)
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bd1, rd1 = dw((b,r), 1, lp)
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bu2, ru2 = up((b,r), 2, lp)
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bd2, rd2 = dw((b,r), 2, lp)
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bu3, ru3 = up((b,r), 3, lp)
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bd3, rd3 = dw((b,r), 3, lp)
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bu4, ru4 = up((b,r), 4, lp)
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bd4, rd4 = dw((b,r), 4, lp)
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bu1, ru1 = up((b,r), 1, lp)
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bd1, rd1 = dw((b,r), 1, lp)
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bu2, ru2 = up((b,r), 2, lp)
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bd2, rd2 = dw((b,r), 2, lp)
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bu3, ru3 = up((b,r), 3, lp)
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bd3, rd3 = dw((b,r), 3, lp)
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bu4, ru4 = up((b,r), 4, lp)
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bd4, rd4 = dw((b,r), 4, lp)
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so[b,r] -= 0.5*(th[1]*gpmul(Pgamma{1,-1},U[b,1,r],si[bu1,ru1]) +conj(th[1])*gdagpmul(Pgamma{1,+1},U[bd1,1,rd1],si[bd1,rd1]) +
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th[2]*gpmul(Pgamma{2,-1},U[b,2,r],si[bu2,ru2]) +conj(th[2])*gdagpmul(Pgamma{2,+1},U[bd2,2,rd2],si[bd2,rd2]) +
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th[3]*gpmul(Pgamma{3,-1},U[b,3,r],si[bu3,ru3]) +conj(th[3])*gdagpmul(Pgamma{3,+1},U[bd3,3,rd3],si[bd3,rd3]) +
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th[4]*gpmul(Pgamma{4,-1},U[b,4,r],si[bu4,ru4]) +conj(th[4])*gdagpmul(Pgamma{4,+1},U[bd4,4,rd4],si[bd4,rd4]) )
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so[b,r] -= 0.5*(th[1]*gpmul(Pgamma{1,-1},U[b,1,r],si[bu1,ru1]) +conj(th[1])*gdagpmul(Pgamma{1,+1},U[bd1,1,rd1],si[bd1,rd1]) +
|
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th[2]*gpmul(Pgamma{2,-1},U[b,2,r],si[bu2,ru2]) +conj(th[2])*gdagpmul(Pgamma{2,+1},U[bd2,2,rd2],si[bd2,rd2]) +
|
||||
th[3]*gpmul(Pgamma{3,-1},U[b,3,r],si[bu3,ru3]) +conj(th[3])*gdagpmul(Pgamma{3,+1},U[bd3,3,rd3],si[bd3,rd3]) +
|
||||
th[4]*gpmul(Pgamma{4,-1},U[b,4,r],si[bu4,ru4]) +conj(th[4])*gdagpmul(Pgamma{4,+1},U[bd4,4,rd4],si[bd4,rd4]) )
|
||||
|
||||
so[b,r] = dmul(Gamma{5}, so[b,r])
|
||||
end
|
||||
|
|
@ -393,11 +426,11 @@ function krnl_g5Dslsh_impr!(so, Fcsw, csw, si, lp::SpaceParm{4,6,B,D}) where {B,
|
|||
|
||||
@inbounds begin
|
||||
|
||||
b = Int64(CUDA.threadIdx().x);
|
||||
r = Int64(CUDA.blockIdx().x)
|
||||
b = Int64(CUDA.threadIdx().x);
|
||||
r = Int64(CUDA.blockIdx().x)
|
||||
|
||||
so[b,r] += 0.5*csw*im*dmul(Gamma{5},( Fcsw[b,1,r]*dmul(Gamma{10},si[b,r]) + Fcsw[b,2,r]*dmul(Gamma{11},si[b,r]) + Fcsw[b,3,r]*dmul(Gamma{12},si[b,r])
|
||||
-Fcsw[b,4,r]*dmul(Gamma{15},si[b,r]) - Fcsw[b,5,r]*dmul(Gamma{14},si[b,r]) - Fcsw[b,6,r]*dmul(Gamma{13},si[b,r])))
|
||||
-Fcsw[b,4,r]*dmul(Gamma{15},si[b,r]) - Fcsw[b,5,r]*dmul(Gamma{14},si[b,r]) - Fcsw[b,6,r]*dmul(Gamma{13},si[b,r])))
|
||||
end
|
||||
|
||||
return nothing
|
||||
|
|
@ -409,15 +442,15 @@ function krnl_g5Dslsh_impr!(so, Fcsw, csw, si, lp::Union{SpaceParm{4,6,BC_SF_ORB
|
|||
|
||||
@inbounds begin
|
||||
|
||||
b = Int64(CUDA.threadIdx().x);
|
||||
r = Int64(CUDA.blockIdx().x)
|
||||
b = Int64(CUDA.threadIdx().x);
|
||||
r = Int64(CUDA.blockIdx().x)
|
||||
|
||||
if (point_time((b,r),lp) != 1)
|
||||
if (point_time((b,r),lp) != 1)
|
||||
|
||||
so[b,r] += 0.5*csw*im*dmul(Gamma{5},( Fcsw[b,1,r]*dmul(Gamma{10},si[b,r]) + Fcsw[b,2,r]*dmul(Gamma{11},si[b,r]) + Fcsw[b,3,r]*dmul(Gamma{12},si[b,r])
|
||||
-Fcsw[b,4,r]*dmul(Gamma{15},si[b,r]) - Fcsw[b,5,r]*dmul(Gamma{14},si[b,r]) - Fcsw[b,6,r]*dmul(Gamma{13},si[b,r])))
|
||||
end
|
||||
so[b,r] += 0.5*csw*im*dmul(Gamma{5},( Fcsw[b,1,r]*dmul(Gamma{10},si[b,r]) + Fcsw[b,2,r]*dmul(Gamma{11},si[b,r]) + Fcsw[b,3,r]*dmul(Gamma{12},si[b,r])
|
||||
-Fcsw[b,4,r]*dmul(Gamma{15},si[b,r]) - Fcsw[b,5,r]*dmul(Gamma{14},si[b,r]) - Fcsw[b,6,r]*dmul(Gamma{13},si[b,r])))
|
||||
end
|
||||
|
||||
return nothing
|
||||
return nothing
|
||||
end
|
||||
end
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue