Is there any way to speed up the PDE solver with the parallel computing toolbox?
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Can I speed up this code by paralleling it with the parallel computing toolbox?
thermalmodel = createpde('thermal','transient');
gm = multicuboid(1,1,0.5,'ZOffset',0.5);%if this doesn't work choose your own geometry
thermalmodel.Geometry = gm;
%%%%%%%%%%%%%%%%%%%%%%%GENERATE MESH %%%%%%%%%%%%%%%
% meshsize = 0.4;%mm
meshsize = 4;%mm
generateMesh(thermalmodel,'Hmax',meshsize/1000);
thermalmodel.Mesh
pdemesh(thermalmodel)
htc = vpa(25) *u.Watt/(u.m^2*u.Kelvin);
htc = rewrite(htc,u.Watt/(u.in^2*u.Kelvin));
htc = double(separateUnits(htc));
thermalBC(thermalmodel,'Face',1:thermalmodel.Geometry.NumFaces,'ConvectionCoefficient',htc,'AmbientTemperature',288.15);
thermalBC(thermalmodel,'Face',1,'Temperature',50+273);%bottom face
mybc = @(region,state) sin(350*state.time).^2;
thermalBC(thermalmodel,'Face',12,'Temperature',mybc);%top face
tfinal = 6;
tlist = 0:3:tfinal;
thermalIC(thermalmodel,0);
thermalmodel.SolverOptions.ReportStatistics = 'on';
result = solve(thermalmodel,tlist);
figure; pdeplot3D(thermalmodel)
pdeplot3D(thermalmodel,'XYData',T(:,end),'Contour','on','ColorMapData',results.Temperature);
title('Temperature in K')
colorbar
pdeplot3D(thermalmodel,'ColorMapData',results.Temperature);
axis equal
title(sprintf('Transient Temperature at Final Time (%g seconds)',tfinal));
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采纳的回答
Alan Weiss
2018-9-26
Sorry, currently Partial Differential Equation Toolbox™ does not use parallel computing.
Alan Weiss
MATLAB mathematical toolbox documentation
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Ravi Kumar
2018-9-26
Your mesh density is too high. I could not get the mesh generated on my machine in a reasonable time. This means, there are large number of DoFs. Can you run your problem first with the default mesh, by using:
generateMesh(thermalmodel);
instead of:
generateMesh(thermalmodel,'Hmax',meshsize/1000);
I am sure you will be able to solve this on a single machine. Then see how much mesh resolution you really need.
Regards, Ravi
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