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a script to investigate slowdown for diagnostics when running on GPU
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using FourierFlows, PyPlot, Printf, Random | |
using Random: seed! | |
using FFTW: rfft, irfft | |
import GeophysicalFlows.TwoDNavierStokes | |
import GeophysicalFlows.TwoDNavierStokes: energy, enstrophy | |
import GeophysicalFlows: peakedisotropicspectrum | |
# ## Choosing a device: CPU or GPU | |
dev = GPU() # Device (CPU/GPU) | |
n, L = 256, 2π # grid resolution and domain length | |
dt = 2e-3 # timestep | |
nsteps = 2000 # total number of steps | |
nsubs = 400 # number of steps between each plot | |
prob = TwoDNavierStokes.Problem(; nx=n, Lx=L, ny=n, Ly=L, dt=dt, stepper="FilteredRK4", dev=dev) | |
sol, cl, vs, gr, filter = prob.sol, prob.clock, prob.vars, prob.grid, prob.timestepper.filter | |
# Initial condidtion | |
seed!(1234) | |
k0, E0 = 6, 0.5 | |
zetai = peakedisotropicspectrum(gr, k0, E0, mask=filter) | |
# Diagnostics | |
E = Diagnostic(energy, prob; nsteps=nsteps) | |
Z = Diagnostic(enstrophy, prob; nsteps=nsteps) | |
diags = [E, Z] # A list of Diagnostics types passed to "stepforward!" will be updated every timestep. | |
println("we time-step without diagnostics") | |
TwoDNavierStokes.set_zeta!(prob, zetai) | |
startwalltime = time() | |
while cl.step < nsteps | |
stepforward!(prob, nsubs) | |
log = @sprintf("step: %04d, t: %d, walltime: %.2f sec", cl.step, cl.t, (time()-startwalltime)) | |
println(log) | |
end | |
println(" ") | |
println("re-initialize and run again with diagnostics") | |
prob = TwoDNavierStokes.Problem(; nx=n, Lx=L, ny=n, Ly=L, dt=dt, stepper="FilteredRK4", dev=dev) | |
sol, cl, vs, gr, filter = prob.sol, prob.clock, prob.vars, prob.grid, prob.timestepper.filter | |
TwoDNavierStokes.set_zeta!(prob, zetai) | |
startwalltime = time() | |
while cl.step < nsteps | |
stepforward!(prob, diags, nsubs) | |
log = @sprintf("step: %04d, t: %d, walltime: %.2f sec", cl.step, cl.t, (time()-startwalltime)) | |
println(log) | |
end | |
println(" ") | |
println("finished") |
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