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prometeo_rk.rg
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-- Copyright (c) "2019, by Stanford University
-- Developer: Mario Di Renzo
-- Affiliation: Center for Turbulence Research, Stanford University
-- URL: https://ctr.stanford.edu
-- Citation: Di Renzo, M., Lin, F., and Urzay, J. (2020).
-- HTR solver: An open-source exascale-oriented task-based
-- multi-GPU high-order code for hypersonic aerothermodynamics.
-- Computer Physics Communications 255, 107262"
-- All rights reserved.
--
-- Redistribution and use in source and binary forms, with or without
-- modification, are permitted provided that the following conditions are met:
-- * Redistributions of source code must retain the above copyright
-- notice, this list of conditions and the following disclaimer.
-- * Redistributions in binary form must reproduce the above copyright
-- notice, this list of conditions and the following disclaimer in the
-- documentation and/or other materials provided with the distribution.
--
-- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
-- ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
-- WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
-- DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER BE LIABLE FOR ANY
-- DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
-- (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
-- LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
-- ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
-- (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
-- SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
import "regent"
return function(nEq, Fluid_columns) local Exports = {}
-------------------------------------------------------------------------------
-- IMPORTS
-------------------------------------------------------------------------------
local UTIL = require 'util'
local CONST = require "prometeo_const"
-- Runge-Kutta coeffients
local RK_C = CONST.RK_C
-------------------------------------------------------------------------------
-- RK ROUTINES
-------------------------------------------------------------------------------
__demand(__cuda, __leaf) -- MANUALLY PARALLELIZED
task Exports.InitializeTemporaries(Fluid : region(ispace(int3d), Fluid_columns))
where
reads(Fluid.Conserved),
writes(Fluid.Conserved_old)
do
__demand(__openmp)
for c in Fluid do
Fluid[c].Conserved_old = Fluid[c].Conserved
end
end
Exports.mkInitializeTimeDerivatives = terralib.memoize(function(Integrator_implicitChemistry)
local InitializeTimeDerivatives
if Integrator_implicitChemistry then
__demand(__cuda, __leaf) -- MANUALLY PARALLELIZED
task InitializeTimeDerivatives(Fluid : region(ispace(int3d), Fluid_columns))
where
reads(Fluid.Conserved_t_old),
writes(Fluid.Conserved_t)
do
__demand(__openmp)
for c in Fluid do
Fluid[c].Conserved_t = (-Fluid[c].Conserved_t_old)
end
end
else
__demand(__cuda, __leaf) -- MANUALLY PARALLELIZED
task InitializeTimeDerivatives(Fluid : region(ispace(int3d), Fluid_columns))
where
writes(Fluid.Conserved_t)
do
__demand(__openmp)
for c in Fluid do
Fluid[c].Conserved_t = [UTIL.mkArrayConstant(nEq, rexpr 0.0 end)]
end
end
end
return InitializeTimeDerivatives
end)
Exports.mkUpdateVars = terralib.memoize(function(STAGE)
local UpdateVars
__demand(__cuda, __leaf) -- MANUALLY PARALLELIZED
task UpdateVars(Fluid : region(ispace(int3d), Fluid_columns),
Integrator_deltaTime : double,
Integrator_implicitChemistry : bool)
where
reads(Fluid.Conserved_old),
reads(Fluid.Conserved_t),
reads writes(Fluid.Conserved)
do
var dt = Integrator_deltaTime
if Integrator_implicitChemistry then
dt *= 0.5
end
__demand(__openmp)
for c in Fluid do
-- Set values for next substep
for i=0, nEq do
Fluid[c].Conserved[i] = [RK_C[STAGE][1]] * Fluid[c].Conserved_old[i]
+ [RK_C[STAGE][2]] * Fluid[c].Conserved[i]
+ [RK_C[STAGE][3]] * Fluid[c].Conserved_t[i] * dt
end
end
end
return UpdateVars
end)
return Exports end