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Merge pull request #182 from CliMA/ck/kernel_bm
Add kernel benchmarks
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,171 @@ | ||
| #= | ||
| using Revise; "CuArray" in ARGS || push!(ARGS, "CuArray"); include("perf/kernel_bm.jl") | ||
| using Revise; include("perf/kernel_bm.jl") | ||
| =# | ||
| using Test | ||
|
|
||
| using KernelAbstractions | ||
| using BenchmarkTools | ||
| import KernelAbstractions as KA | ||
| using Random | ||
| using LinearAlgebra | ||
| import RootSolvers as RS | ||
|
|
||
| import Thermodynamics as TD | ||
| import Thermodynamics.Parameters as TP | ||
| import CLIMAParameters as CP | ||
|
|
||
| if get(ARGS, 1, "Array") == "CuArray" | ||
| import CUDA | ||
| ArrayType = CUDA.CuArray | ||
| CUDA.allowscalar(false) | ||
| else | ||
| ArrayType = Array | ||
| end | ||
|
|
||
| const param_set_Float64 = TP.ThermodynamicsParameters(Float64) | ||
| const param_set_Float32 = TP.ThermodynamicsParameters(Float32) | ||
| parameter_set(::Type{Float64}) = param_set_Float64 | ||
| parameter_set(::Type{Float32}) = param_set_Float32 | ||
|
|
||
| @show ArrayType | ||
|
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||
| @kernel function test_thermo_kernel!( | ||
| param_set, | ||
| dst::AbstractArray{FT}, | ||
| e_int, | ||
| ρ, | ||
| p, | ||
| q_tot, | ||
| ) where {FT} | ||
| i = @index(Global) | ||
| @inbounds begin | ||
|
|
||
| param_set = parameter_set(FT) | ||
| ts = TD.PhaseEquil_ρeq(param_set, FT(ρ[i]), FT(e_int[i]), FT(q_tot[i])) | ||
|
|
||
| dst[1, i] = TD.air_pressure(param_set, ts) | ||
| dst[2, i] = TD.air_temperature(param_set, ts) | ||
| dst[3, i] = TD.air_density(param_set, ts) | ||
| dst[4, i] = TD.specific_volume(param_set, ts) | ||
| dst[5, i] = TD.soundspeed_air(param_set, ts) | ||
| dst[6, i] = TD.total_specific_humidity(param_set, ts) | ||
| dst[7, i] = TD.liquid_specific_humidity(param_set, ts) | ||
| dst[8, i] = TD.ice_specific_humidity(param_set, ts) | ||
| dst[9, i] = TD.vapor_specific_humidity(param_set, ts) | ||
| dst[10, i] = TD.total_energy(param_set, ts, FT(0), FT(0)) | ||
| dst[11, i] = TD.internal_energy(param_set, ts) | ||
| dst[12, i] = TD.internal_energy_sat(param_set, ts) | ||
| dst[13, i] = TD.internal_energy_dry(param_set, ts) | ||
| dst[14, i] = TD.internal_energy_vapor(param_set, ts) | ||
| dst[15, i] = TD.internal_energy_liquid(param_set, ts) | ||
| dst[16, i] = TD.internal_energy_ice(param_set, ts) | ||
| dst[17, i] = TD.cp_m(param_set, ts) | ||
| dst[18, i] = TD.cv_m(param_set, ts) | ||
| dst[19, i] = TD.gas_constant_air(param_set, ts) | ||
| # dst[20, i] = TD.gas_constants(param_set, ts) | ||
| dst[21, i] = TD.latent_heat_vapor(param_set, ts) | ||
| dst[22, i] = TD.latent_heat_sublim(param_set, ts) | ||
| dst[23, i] = TD.latent_heat_fusion(param_set, ts) | ||
| dst[24, i] = TD.latent_heat_liq_ice(param_set, ts) | ||
| dst[25, i] = TD.saturation_vapor_pressure(param_set, ts, TD.Liquid()) | ||
| # dst[26, i] = TD.q_vap_saturation_generic(param_set, ts) | ||
| dst[27, i] = TD.q_vap_saturation(param_set, ts) | ||
| dst[28, i] = TD.q_vap_saturation_liquid(param_set, ts) | ||
| dst[29, i] = TD.q_vap_saturation_ice(param_set, ts) | ||
| dst[30, i] = TD.saturation_excess(param_set, ts) | ||
| dst[31, i] = TD.supersaturation(param_set, ts, TD.Liquid()) | ||
| dst[32, i] = TD.liquid_fraction(param_set, ts) | ||
| dst[33, i] = TD.PhasePartition_equil(param_set, ts).tot | ||
| dst[34, i] = TD.dry_pottemp(param_set, ts) | ||
| dst[35, i] = TD.virtual_pottemp(param_set, ts) | ||
| dst[36, i] = TD.virtual_dry_static_energy(param_set, ts, FT(0)) | ||
| dst[37, i] = TD.exner(param_set, ts) | ||
| # dst[38, i] = TD.shum_to_mixing_ratio(param_set, ts) | ||
| dst[39, i] = TD.mixing_ratios(param_set, ts).tot | ||
| dst[40, i] = TD.vol_vapor_mixing_ratio(param_set, ts) | ||
| dst[41, i] = TD.liquid_ice_pottemp(param_set, ts) | ||
| dst[42, i] = TD.liquid_ice_pottemp_sat(param_set, ts) | ||
| dst[43, i] = TD.relative_humidity(param_set, ts) | ||
| dst[44, i] = TD.virtual_temperature(param_set, ts) | ||
| dst[45, i] = TD.condensate(param_set, ts) | ||
| dst[46, i] = TD.has_condensate(param_set, ts) | ||
| dst[47, i] = TD.specific_enthalpy(param_set, ts) | ||
| dst[48, i] = TD.total_specific_enthalpy(param_set, ts, FT(0)) | ||
| dst[49, i] = TD.moist_static_energy(param_set, ts, FT(0)) | ||
| dst[50, i] = TD.specific_entropy(param_set, ts) | ||
| dst[51, i] = TD.saturated(param_set, ts) | ||
|
|
||
| end | ||
| end | ||
|
|
||
| # Since we use `rand` to generate the ProfileSet, | ||
| # just initialize on the CPU, and provide convert | ||
| # function to move arrays to the GPU. | ||
| convert_profile_set(ps::TD.TestedProfiles.ProfileSet, ArrayType, slice) = | ||
| TD.TestedProfiles.ProfileSet( | ||
| ArrayType(ps.z[slice]), | ||
| ArrayType(ps.T[slice]), | ||
| ArrayType(ps.p[slice]), | ||
| ArrayType(ps.RS[slice]), | ||
| ArrayType(ps.e_int[slice]), | ||
| ArrayType(ps.h[slice]), | ||
| ArrayType(ps.ρ[slice]), | ||
| ArrayType(ps.θ_liq_ice[slice]), | ||
| ArrayType(ps.q_tot[slice]), | ||
| ArrayType(ps.q_liq[slice]), | ||
| ArrayType(ps.q_ice[slice]), | ||
| TD.PhasePartition.(ps.q_tot[slice], ps.q_liq[slice], ps.q_ice[slice]), | ||
| ArrayType(ps.RH[slice]), | ||
| ArrayType(ps.e_pot[slice]), | ||
| ArrayType(ps.u[slice]), | ||
| ArrayType(ps.v[slice]), | ||
| ArrayType(ps.w[slice]), | ||
| ArrayType(ps.e_kin[slice]), | ||
| ps.phase_type, | ||
| ) | ||
|
|
||
| function test_thermo!(param_set, d_dst, profiles) | ||
| (; e_int, ρ, p, q_tot) = profiles | ||
| n_profiles = length(profiles.z) | ||
| ndrange = (n_profiles,) | ||
| backend = KA.get_backend(d_dst) | ||
| kernel! = test_thermo_kernel!(backend) | ||
| kernel!(param_set, d_dst, e_int, ρ, p, q_tot; ndrange = ndrange) | ||
| KA.synchronize(backend) | ||
| return nothing | ||
| end | ||
|
|
||
| @testset "Thermodynamics - kernels" begin | ||
| FT = Float32 | ||
| param_set = parameter_set(FT) | ||
| profiles = TD.TestedProfiles.PhaseEquilProfiles(param_set, Array) | ||
| slice = Colon() | ||
| profiles = convert_profile_set(profiles, ArrayType, slice) | ||
|
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||
| n_profiles = length(profiles.z) | ||
| n_vars = length(propertynames(profiles)) | ||
| d_dst = ArrayType(Array{FT}(undef, 51, n_profiles)) | ||
| fill!(d_dst, 0) | ||
|
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||
| test_thermo!(param_set, d_dst, profiles) # compile first | ||
| trial = | ||
| BenchmarkTools.@benchmark test_thermo!($param_set, $d_dst, $profiles) | ||
| show(stdout, MIME("text/plain"), trial) | ||
|
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||
| (; e_int, ρ, p, q_tot) = profiles | ||
| # Test | ||
| ts_cpu = | ||
| TD.PhaseEquil_ρeq.( | ||
| param_set, | ||
| Array{FT}(ρ), | ||
| Array{FT}(e_int), | ||
| Array{FT}(q_tot), | ||
| ) | ||
| @test all(Array(d_dst)[1, :] .≈ TD.air_pressure.(param_set, ts_cpu)) | ||
| @test all(Array(d_dst)[2, :] .≈ TD.air_temperature.(param_set, ts_cpu)) | ||
|
|
||
| end | ||
|
|
||
| rm(joinpath(@__DIR__, "logfilepath_Float32.toml"); force = true) | ||
| rm(joinpath(@__DIR__, "logfilepath_Float64.toml"); force = true) |
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