Source code for pyfr.integrators.std.steppers

# -*- coding: utf-8 -*-

from pyfr.integrators.std.base import BaseStdIntegrator
from pyfr.util import memoize


class BaseStdStepper(BaseStdIntegrator):
    def collect_stats(self, stats):
        super().collect_stats(stats)

        # Total number of RHS evaluations
        stats.set('solver-time-integrator', 'nfevals', self._stepper_nfevals)


[docs]class StdEulerStepper(BaseStdStepper): stepper_name = 'euler' stepper_has_errest = False stepper_nregs = 2 stepper_order = 1 @property def _stepper_nfevals(self): return self.nsteps
[docs] def step(self, t, dt): add, rhs = self._add, self.system.rhs ut, f = self._regidx rhs(t, ut, f) add(1.0, ut, dt, f) return ut
[docs]class StdTVDRK3Stepper(BaseStdStepper): stepper_name = 'tvd-rk3' stepper_has_errest = False stepper_nregs = 3 stepper_order = 3 @property def _stepper_nfevals(self): return 3*self.nsteps
[docs] def step(self, t, dt): add, rhs = self._add, self.system.rhs # Get the bank indices for each register (n, n+1, rhs) r0, r1, r2 = self._regidx # Ensure r0 references the bank containing u(t) if r0 != self._idxcurr: r0, r1 = r1, r0 # First stage; r2 = -∇·f(r0); r1 = r0 + dt*r2 rhs(t, r0, r2) add(0.0, r1, 1.0, r0, dt, r2) # Second stage; r2 = -∇·f(r1); r1 = 0.75*r0 + 0.25*r1 + 0.25*dt*r2 rhs(t + dt, r1, r2) add(0.25, r1, 0.75, r0, 0.25*dt, r2) # Third stage; r2 = -∇·f(r1); # r1 = 1.0/3.0*r0 + 2.0/3.0*r1 + 2.0/3.0*dt*r2 rhs(t + 0.5*dt, r1, r2) add(2.0/3.0, r1, 1.0/3.0, r0, 2.0/3.0*dt, r2) # Return the index of the bank containing u(t + dt) return r1
[docs]class StdRK4Stepper(BaseStdStepper): stepper_name = 'rk4' stepper_has_errest = False stepper_nregs = 3 stepper_order = 4 @property def _stepper_nfevals(self): return 4*self.nsteps
[docs] def step(self, t, dt): add, rhs = self._add, self.system.rhs # Get the bank indices for each register r0, r1, r2 = self._regidx # Ensure r0 references the bank containing u(t) if r0 != self._idxcurr: r0, r1 = r1, r0 # First stage; r1 = -∇·f(r0) rhs(t, r0, r1) # Second stage; r2 = r0 + dt/2*r1; r2 = -∇·f(r2) add(0.0, r2, 1.0, r0, dt/2.0, r1) rhs(t + dt/2.0, r2, r2) # As no subsequent stages depend on the first stage we can # reuse its register to start accumulating the solution with # r1 = r0 + dt/6*r1 + dt/3*r2 add(dt/6.0, r1, 1.0, r0, dt/3.0, r2) # Third stage; here we reuse the r2 register # r2 = r0 + dt/2*r2 # r2 = -∇·f(r2) add(dt/2.0, r2, 1.0, r0) rhs(t + dt/2.0, r2, r2) # Accumulate; r1 = r1 + dt/3*r2 add(1.0, r1, dt/3.0, r2) # Fourth stage; again we reuse r2 # r2 = r0 + dt*r2 # r2 = -∇·f(r2) add(dt, r2, 1.0, r0) rhs(t + dt, r2, r2) # Final accumulation r1 = r1 + dt/6*r2 = u(t + dt) add(1.0, r1, dt/6.0, r2) # Return the index of the bank containing u(t + dt) return r1
class StdRKVdH2RStepper(BaseStdStepper): # Coefficients a = [] b = [] bhat = [] def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) # Register our pointwise kernel self.backend.pointwise.register('pyfr.integrators.std.kernels.rkvdh2') # Compute the coefficients self.c = [0.0] + [sum(self.b[:i]) + ai for i, ai in enumerate(self.a)] self.e = [b - bh for b, bh in zip(self.b, self.bhat)] self._nstages = len(self.c) @memoize def _get_rkvdh2_kerns(self, stage, r1, r2, rold=None, rerr=None): kerns = [] tplargs = { 'a': self.a, 'b': self.b, 'e': self.e, 'stage': stage, 'nstages': self._nstages, 'nvars': self.system.nvars, 'errest': rold is not None } for dims, em in zip(self.system.ele_shapes, self.system.ele_banks): if rold is not None: kern = self.backend.kernel( 'rkvdh2', tplargs=tplargs, dims=[dims[0], dims[2]], r1=em[r1], r2=em[r2], rold=em[rold], rerr=em[rerr], ) else: kern = self.backend.kernel( 'rkvdh2', tplargs=tplargs, dims=[dims[0], dims[2]], r1=em[r1], r2=em[r2], ) kerns.append(kern) return kerns @property def stepper_has_errest(self): return self.controller_needs_errest and len(self.bhat) @property def _stepper_nfevals(self): return len(self.b)*self.nsteps @property def stepper_nregs(self): return 4 if self.stepper_has_errest else 2 def step(self, t, dt): run_kernels, rhs = self.backend.run_kernels, self.system.rhs r1 = self._idxcurr r2, *rs = set(self._regidx) - {r1} # Evaluate the stages in the scheme for i, ci in enumerate(self.c): # Compute -∇·f rhs(t + ci*dt, r2 if i > 0 else r1, r2) # Fetch the appropriate RK accumulation kernels kerns = self._get_rkvdh2_kerns(i, r1, r2, *rs) # Bind the arguments for k in kerns: k.bind(dt=dt) # Execute run_kernels(kerns) # Swap r1, r2 = r2, r1 # Return return (r2, *rs) if len(rs) else r2
[docs]class StdRK34Stepper(StdRKVdH2RStepper): stepper_name = 'rk34' stepper_order = 3 a = [ 11847461282814 / 36547543011857, 3943225443063 / 7078155732230, -346793006927 / 4029903576067 ] b = [ 1017324711453 / 9774461848756, 8237718856693 / 13685301971492, 57731312506979 / 19404895981398, -101169746363290 / 37734290219643 ] bhat = [ 15763415370699 / 46270243929542, 514528521746 / 5659431552419, 27030193851939 / 9429696342944, -69544964788955 / 30262026368149 ]
[docs]class StdRK45Stepper(StdRKVdH2RStepper): stepper_name = 'rk45' stepper_order = 4 a = [ 970286171893 / 4311952581923, 6584761158862 / 12103376702013, 2251764453980 / 15575788980749, 26877169314380 / 34165994151039 ] b = [ 1153189308089 / 22510343858157, 1772645290293 / 4653164025191, -1672844663538 / 4480602732383, 2114624349019 / 3568978502595, 5198255086312 / 14908931495163 ] bhat = [ 1016888040809 / 7410784769900, 11231460423587 / 58533540763752, -1563879915014 / 6823010717585, 606302364029 / 971179775848, 1097981568119 / 3980877426909 ]