André R. Brodtkorb 10d8e26108 Refactoring
2018-09-04 16:33:50 +02:00

105 lines
3.5 KiB
Python

# -*- coding: utf-8 -*-
"""
This python module implements the FORCE flux
for the shallow water equations
Copyright (C) 2016 SINTEF ICT
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
"""
#Import packages we need
from GPUSimulators import Simulator, Common
"""
Class that solves the SW equations
"""
class FORCE (Simulator.BaseSimulator):
"""
Initialization routine
h0: Water depth incl ghost cells, (nx+1)*(ny+1) cells
hu0: Initial momentum along x-axis incl ghost cells, (nx+1)*(ny+1) cells
hv0: Initial momentum along y-axis incl ghost cells, (nx+1)*(ny+1) cells
nx: Number of cells along x-axis
ny: Number of cells along y-axis
dx: Grid cell spacing along x-axis (20 000 m)
dy: Grid cell spacing along y-axis (20 000 m)
dt: Size of each timestep (90 s)
g: Gravitational accelleration (9.81 m/s^2)
"""
def __init__(self, \
context, \
h0, hu0, hv0, \
nx, ny, \
dx, dy, dt, \
g, \
block_width=16, block_height=16):
# Call super constructor
super().__init__(context, \
nx, ny, \
dx, dy, dt, \
g, \
block_width, block_height);
#Get kernels
self.kernel = context.get_prepared_kernel("cuda/SWE_FORCE.cu", "FORCEKernel", \
"iiffffPiPiPiPiPiPi", \
BLOCK_WIDTH=self.local_size[0], \
BLOCK_HEIGHT=self.local_size[1])
#Create data by uploading to device
self.u0 = Common.ArakawaA2D(self.stream, \
nx, ny, \
1, 1, \
[h0, hu0, hv0])
self.u1 = Common.ArakawaA2D(self.stream, \
nx, ny, \
1, 1, \
[None, None, None])
def __str__(self):
return "First order centered"
def simulate(self, t_end):
return super().simulateEuler(t_end)
def stepEuler(self, dt):
self.kernel.prepared_async_call(self.global_size, self.local_size, self.stream, \
self.nx, self.ny, \
self.dx, self.dy, dt, \
self.g, \
self.u0[0].data.gpudata, self.u0[0].data.strides[0], \
self.u0[1].data.gpudata, self.u0[1].data.strides[0], \
self.u0[2].data.gpudata, self.u0[2].data.strides[0], \
self.u1[0].data.gpudata, self.u1[0].data.strides[0], \
self.u1[1].data.gpudata, self.u1[1].data.strides[0], \
self.u1[2].data.gpudata, self.u1[2].data.strides[0])
self.u0, self.u1 = self.u1, self.u0
self.t += dt
def download(self):
return self.u0.download(self.stream)