mirror of
https://igit.ific.uv.es/alramos/latticegpu.jl.git
synced 2025-05-14 19:23:42 +02:00
Added timmings
This commit is contained in:
Alberto Ramos
parent
42e539c9bd
commit
30baeade9f
8 changed files with 142 additions and 112 deletions
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@ -310,9 +310,9 @@ uuid = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
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[[TimerOutputs]]
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deps = ["ExprTools", "Printf"]
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git-tree-sha1 = "209a8326c4f955e2442c07b56029e88bb48299c7"
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git-tree-sha1 = "7cb456f358e8f9d102a8b25e8dfedf58fa5689bc"
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uuid = "a759f4b9-e2f1-59dc-863e-4aeb61b1ea8f"
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version = "0.5.12"
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version = "0.5.13"
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[[UUIDs]]
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deps = ["Random", "SHA"]
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@ -7,3 +7,4 @@ version = "0.1.0"
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CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
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Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
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StructArrays = "09ab397b-f2b6-538f-b94a-2f83cf4a842a"
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TimerOutputs = "a759f4b9-e2f1-59dc-863e-4aeb61b1ea8f"
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38
src/YM/YM.jl
38
src/YM/YM.jl
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@ -12,7 +12,7 @@
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module YM
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using CUDA, Random, StructArrays
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using CUDA, Random, StructArrays, TimerOutputs
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using ..Space
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using ..Groups
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using ..Fields
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@ -48,25 +48,27 @@ struct YMworkspace{T}
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rm # float of volume
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function YMworkspace(::Type{G}, ::Type{T}, lp::SpaceParm) where {G <: Group, T <: AbstractFloat}
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if (G == SU2)
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GRP = SU2
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ALG = SU2alg
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f1 = vector_field(SU2alg{T}, lp)
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f2 = vector_field(SU2alg{T}, lp)
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mm = vector_field(SU2alg{T}, lp)
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u1 = vector_field(SU2{T}, lp)
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end
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@timeit "Allocating YMWorkspace" begin
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if (G == SU2)
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GRP = SU2
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ALG = SU2alg
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f1 = vector_field(SU2alg{T}, lp)
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f2 = vector_field(SU2alg{T}, lp)
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mm = vector_field(SU2alg{T}, lp)
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u1 = vector_field(SU2{T}, lp)
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end
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if (G == SU3)
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GRP = SU3
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ALG = SU3alg
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f1 = vector_field(SU3alg{T}, lp)
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f2 = vector_field(SU3alg{T}, lp)
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mm = vector_field(SU3alg{T}, lp)
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u1 = vector_field(SU3{T}, lp)
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if (G == SU3)
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GRP = SU3
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ALG = SU3alg
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f1 = vector_field(SU3alg{T}, lp)
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f2 = vector_field(SU3alg{T}, lp)
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mm = vector_field(SU3alg{T}, lp)
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u1 = vector_field(SU3{T}, lp)
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end
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cs = scalar_field(Complex{T}, lp)
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rs = scalar_field(T, lp)
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end
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cs = scalar_field(Complex{T}, lp)
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rs = scalar_field(T, lp)
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return new{T}(GRP,ALG,T,f1, f2, mm, u1, cs, rs)
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end
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@ -305,9 +305,13 @@ the prefactor 1/g0^2, and assign it to the workspace force `ymws.frc1`
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function force_gauge(ymws::YMworkspace, U, c0, lp::SpaceParm)
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if abs(c0-1) < 1.0E-10
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force_wilson_pln!(ymws.frc1, ymws.frc2, U, lp::SpaceParm)
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@timeit "Wilson gauge force" begin
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force_wilson_pln!(ymws.frc1, ymws.frc2, U, lp::SpaceParm)
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end
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else
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force_wilson_pln!(ymws.frc1, ymws.frc2, U, lp::SpaceParm, c0)
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@timeit "Improved gauge force" begin
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force_wilson_pln!(ymws.frc1, ymws.frc2, U, lp::SpaceParm, c0)
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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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@ -12,17 +12,21 @@
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function randomize!(f, lp::SpaceParm, ymws::YMworkspace)
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if ymws.ALG == SU2alg
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m = CUDA.randn(ymws.PRC, lp.bsz,lp.ndim,3,lp.rsz)
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_assign_SU2!(f,m,lp)
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@timeit "Randomize SU(2) algebra field" begin
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m = CUDA.randn(ymws.PRC, lp.bsz,lp.ndim,3,lp.rsz)
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_assign_SU2!(f,m,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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if ymws.ALG == SU3alg
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m = CUDA.randn(ymws.PRC, lp.bsz,lp.ndim,8,lp.rsz)
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_assign_SU3!(f,m,lp)
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@timeit "Randomize SU(3) algebra field" begin
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m = CUDA.randn(ymws.PRC, lp.bsz,lp.ndim,8,lp.rsz)
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_assign_SU3!(f,m,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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@ -63,12 +63,14 @@ end
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function flw_euler(U, ns, eps, c0, lp::SpaceParm, ymws::YMworkspace; add_zth=false)
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for i in 1:ns
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force_gauge(ymws, U, c0, lp)
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if add_zth
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add_zth_term(ymws::YMworkspace, U, lp)
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@timeit "Integrating flow equations (Euler)" begin
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for i in 1:ns
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force_gauge(ymws, U, c0, lp)
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if add_zth
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add_zth_term(ymws::YMworkspace, U, lp)
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end
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U .= expm.(U, ymws.frc1, 2*eps)
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end
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U .= expm.(U, ymws.frc1, 2*eps)
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end
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return nothing
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@ -76,31 +78,33 @@ end
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function flw_rk3(U, ns, eps, c0, lp::SpaceParm, ymws::YMworkspace; add_zth=false)
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for i in 1:ns
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e0 = eps/2
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force_gauge(ymws, U, c0, lp)
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if add_zth
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add_zth_term(ymws::YMworkspace, U, lp)
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end
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ymws.mom .= ymws.frc1
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U .= expm.(U, ymws.mom, e0)
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@timeit "Integrating flow equations (RK3)" begin
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for i in 1:ns
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e0 = eps/2
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force_gauge(ymws, U, c0, lp)
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if add_zth
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add_zth_term(ymws::YMworkspace, U, lp)
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end
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ymws.mom .= ymws.frc1
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U .= expm.(U, ymws.mom, e0)
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e0 = -34*eps/36
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e1 = 16*eps/9
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force_gauge(ymws, U, c0, lp)
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if add_zth
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add_zth_term(ymws::YMworkspace, U, lp)
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end
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ymws.mom .= e0.*ymws.mom .+ e1.*ymws.frc1
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U .= expm.(U, ymws.mom)
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e0 = -34*eps/36
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e1 = 16*eps/9
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force_gauge(ymws, U, c0, lp)
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if add_zth
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add_zth_term(ymws::YMworkspace, U, lp)
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end
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ymws.mom .= e0.*ymws.mom .+ e1.*ymws.frc1
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U .= expm.(U, ymws.mom)
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e1 = 6*eps/4
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force_gauge(ymws, U, c0, lp)
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if add_zth
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add_zth_term(ymws::YMworkspace, U, lp)
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e1 = 6*eps/4
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force_gauge(ymws, U, c0, lp)
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if add_zth
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add_zth_term(ymws::YMworkspace, U, lp)
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end
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ymws.mom .= e1.*ymws.frc1 .- ymws.mom
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U .= expm.(U, ymws.mom)
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end
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ymws.mom .= e1.*ymws.frc1 .- ymws.mom
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U .= expm.(U, ymws.mom)
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end
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return nothing
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100
src/YM/YMhmc.jl
100
src/YM/YMhmc.jl
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@ -18,12 +18,16 @@ Returns the value of the gauge plaquette action for the configuration U. The par
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function gauge_action(U, lp::SpaceParm, gp::GaugeParm{T}, ymws::YMworkspace{T}) where T <: AbstractFloat
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if abs(gp.c0-1) < 1.0E-10
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_plaq!(ymws.cm, U, lp)
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@timeit "Wilson gauge action" begin
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_plaq!(ymws.cm, U, lp)
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end
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end
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else
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_impr!(ymws.cm, U, gp.c0, (1-gp.c0)/8, lp)
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@timeit "Improved gauge action" begin
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_impr!(ymws.cm, U, gp.c0, (1-gp.c0)/8, lp)
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end
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end
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end
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S = gp.beta*( prod(lp.iL)*lp.npls*(gp.c0 + (1-gp.c0)/8) -
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@ -34,71 +38,81 @@ end
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function plaquette(U, lp::SpaceParm, gp::GaugeParm, ymws::YMworkspace)
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_plaq!(ymws.cm, U, lp)
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@timeit "Plaquette measurement" begin
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CUDA.@sync begin
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CUDA.@cuda threads=lp.bsz blocks=lp.rsz krnl_plaq!(ymws.cm, U, lp)
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end
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end
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return CUDA.mapreduce(real, +, ymws.cm)/(prod(lp.iL)*lp.npls)
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end
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function hamiltonian(mom, U, lp, gp, ymws)
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K = CUDA.mapreduce(norm2, +, mom)/2
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V = gauge_action(U, lp, gp, ymws)
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@timeit "Computing Hamiltonian" begin
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K = CUDA.mapreduce(norm2, +, mom)/2
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V = gauge_action(U, lp, gp, ymws)
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end
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return K+V
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end
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function HMC!(U, eps, ns, lp::SpaceParm, gp::GaugeParm, ymws::YMworkspace{T}; noacc=false) where T
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int = omf4(T, eps, ns)
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ymws.U1 .= U
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@timeit "HMC trayectory" begin
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randomize!(ymws.mom, lp, ymws)
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hini = hamiltonian(ymws.mom, U, lp, gp, ymws)
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int = omf4(T, eps, ns)
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ymws.U1 .= U
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MD!(ymws.mom, U, int, lp, gp, ymws)
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randomize!(ymws.mom, lp, ymws)
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hini = hamiltonian(ymws.mom, U, lp, gp, ymws)
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dh = hamiltonian(ymws.mom, U, lp, gp, ymws) - hini
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pacc = exp(-dh)
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MD!(ymws.mom, U, int, lp, gp, ymws)
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acc = true
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if (noacc)
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return dh, acc
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end
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dh = hamiltonian(ymws.mom, U, lp, gp, ymws) - hini
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pacc = exp(-dh)
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if (pacc < 1.0)
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r = rand()
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if (pacc < r)
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U .= ymws.U1
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acc = false
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acc = true
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if (noacc)
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return dh, acc
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end
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end
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if (pacc < 1.0)
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r = rand()
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if (pacc < r)
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U .= ymws.U1
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acc = false
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end
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end
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end
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return dh, acc
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end
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function MD!(mom, U, int::IntrScheme{NI, T}, lp::SpaceParm, gp::GaugeParm{T}, ymws::YMworkspace{T}) where {NI, T <: AbstractFloat}
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ee = int.eps*gp.beta/gp.ng
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force_gauge(ymws, U, gp.c0, lp)
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mom .= mom .+ (int.r[1]*ee) .* ymws.frc1
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for i in 1:int.ns
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k = 2
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off = 1
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for j in 1:NI-1
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U .= expm.(U, mom, int.eps*int.r[k])
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if k == NI
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off = -1
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end
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k += off
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@timeit "MD evolution" begin
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force_gauge(ymws, U, gp.c0, lp)
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if (i < int.ns) && (k == 1)
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mom .= mom .+ (2*int.r[k]*ee) .* ymws.frc1
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else
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mom .= mom .+ (int.r[k]*ee) .* ymws.frc1
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ee = int.eps*gp.beta/gp.ng
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force_gauge(ymws, U, gp.c0, lp)
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mom .= mom .+ (int.r[1]*ee) .* ymws.frc1
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for i in 1:int.ns
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k = 2
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off = 1
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for j in 1:NI-1
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U .= expm.(U, mom, int.eps*int.r[k])
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if k == NI
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off = -1
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end
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k += off
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force_gauge(ymws, U, gp.c0, lp)
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if (i < int.ns) && (k == 1)
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mom .= mom .+ (2*int.r[k]*ee) .* ymws.frc1
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else
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mom .= mom .+ (int.r[k]*ee) .* ymws.frc1
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end
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k += off
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end
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k += off
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end
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end
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@ -1,4 +1,4 @@
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using CUDA, Logging, StructArrays, Random
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using CUDA, Logging, StructArrays, Random, TimerOutputs
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CUDA.allowscalar(false)
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import Pkg
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@ -7,7 +7,7 @@ Pkg.activate("/lhome/ific/a/alramos/s.images/julia/workspace/LatticeGPU")
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using LatticeGPU
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# Set lattice/block size
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lp = SpaceParm{4}((32,32,32,32), (4,4,4,4))
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lp = SpaceParm{4}((16,16,16,16), (4,4,4,4))
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println("Space Parameters: ", lp)
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# Seed RNG
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@ -93,5 +93,6 @@ println("Time for 100 steps of RK3 flow integrator: ")
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println("Action: ", gauge_action(U, lp, gp, ymws))
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println("## END improved action/flow measurements")
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print_timer(linechars = :ascii)
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println("END")
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