1 | from dynamico.meshes import Cartesian_mesh as Mesh |
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2 | from dynamico import unstructured as unst |
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3 | from dynamico import dyn |
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4 | from dynamico import time_step |
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5 | from dynamico import DCMIP |
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6 | from dynamico.precision import zero, np_num |
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7 | |
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8 | import math as math |
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9 | import matplotlib.pyplot as plt |
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10 | import numpy as np |
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11 | import time |
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12 | |
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13 | nx,ny,llm,nqdyn=128,128,1,1 |
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14 | Lx,Ly,g,f = 8.,8.,1.,1. |
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15 | dx,dy=Lx/nx,Ly/ny |
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16 | |
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17 | unst.setvar('g',g) |
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18 | mesh = Mesh(nx,ny,llm,nqdyn,Lx,Ly,f) |
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19 | caldyn = unst.Caldyn_RSW(mesh) |
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20 | |
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21 | x1,x2,yy = mesh.xx[:,:,0]-1., mesh.xx[:,:,0]+1., mesh.yy[:,:,0] |
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22 | h0, u0 = mesh.field_mass(), mesh.field_u() # flow initally at rest |
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23 | h0[:] = 1+0.1*(np.exp(-2.*(x1*x1+yy*yy))+ |
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24 | np.exp(-2.*(x2*x2+yy*yy))) |
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25 | #h0[:] = 1+0.1*(np.exp(-2.*yy*yy)) |
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26 | |
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27 | flow0=(h0,u0) |
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28 | |
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29 | cfl = .8 |
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30 | dt = cfl/math.sqrt((nx/Lx)**2+(ny/Ly)**2) |
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31 | |
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32 | T=10. |
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33 | N=int(T/dt)+1 |
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34 | dt=T/N |
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35 | print N,dt,Lx/nx |
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36 | scheme = time_step.ARK2(caldyn.bwd_fast_slow, dt, precision=np_num) |
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37 | |
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38 | print 'types : yy, u0, h0, u0', yy.dtype, u0.dtype, h0.dtype, u0.dtype |
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39 | |
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40 | flow=flow0 |
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41 | for i in range(10): |
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42 | h,u=flow |
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43 | print 'types : h,u', h.dtype, u.dtype |
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44 | caldyn.bwd_fast_slow(flow, zero) |
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45 | plt.figure(); plt.pcolor(mesh.x,mesh.y,caldyn.qv) |
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46 | plt.colorbar(); plt.title('potential vorticity') |
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47 | plt.savefig('fig_RSW_2D/%03d.png'%i) |
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48 | # plt.figure(); plt.pcolor(mesh.x,mesh.y,h) |
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49 | # plt.colorbar(); plt.title('h') |
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50 | # plt.show() |
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51 | # plt.pcolor(x,y,vcomp(u)/dx) |
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52 | # plt.colorbar(); plt.title('v') |
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53 | # plt.show() |
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54 | for j in range(5): |
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55 | unst.elapsed=0. |
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56 | flow = scheme.advance(flow,N) |
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57 | h,u=flow |
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58 | print 'types : h,u', h.dtype, u.dtype |
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59 | # flops |
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60 | # mass flux : 1add+1mul per edge => 4 |
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61 | # div U : 4 add per cell => 4 |
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62 | # KE : 4*(2add+1mul) per cell => 12 |
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63 | # grad KE : 1 add per edge => 2 |
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64 | # grad h : 1 add per edge => 2 |
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65 | # qv : 4+4+1 add +4mul + 1div per cell => 10 |
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66 | # qu : 1add+1mul per edge => 4 |
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67 | # TrisK : 4add+4mul+4add+1add per edge => 26 |
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68 | # Total : 64 FLOPS/cell |
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69 | print i,j, unst.elapsed, 100.*(1.-unst.getvar('elapsed')/unst.elapsed) |
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70 | print 'GFlops', 64*(N*nx*ny)/unst.elapsed/1e9 |
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71 | unst.setvar('elapsed',0.) |
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