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Data sets
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The parameters used in the datasets try to represent at best typical industrial runs in order to obtain representative speedups. For example, the iterative solvers 
are never converged to machine accuracy, as the system solution is inside a non-linear loop. 

The datasets represent the solution of the cavity flow at Re=100. A small mesh of 10M elements should be used for Tier-1 supercomputers while a 30M element mesh
is specifically designed to run on Tier-0 supercomputers.
However, the number of elements can be multiplied by using the mesh multiplication option in the file *.ker.dat (DIVISION=0,2,3...). The mesh multiplication is 
carried out in parallel and the numebr of elements is multiplied by 8 at each of these levels. "0" means no mesh multiplication. 

The different datasets are:

cavity10_tetra ... 10M tetrahedra mesh 
cavity30_tetra ... 30M tetrahedra mesh

How to execute Alya with a given dataset
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In order to run ALYA, you need at least the following input files per execution:

X.dom.dat
X.typ.dat
X.geo.dat
X.bcs.dat
X.inflow_profile.bcs
X.ker.dat
X.nsi.dat
X.dat

In our case, there are 2 different inputs, so X={cavity10_tetra,cavity30_tetra}
To execute a simulation, you must be inside the input directory and you should submit a job like:

mpirun Alya.x cavity10_tetra 
or
mpirun Alya.x cavity30_tetra


How to measure the speedup
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1. Edit the fensap.nsi.cvg file
2. You will see ten rows, each one corresponds to one simulation timestep
3. Go to the second row, it starts with a number 2
4. Get the last number of this row, that corresponds to the elapsed CPU time of this timestep
5. Use this value in order to measure the speedup


Contact
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If you have any question regarding the runs, please feel free to contact Guillaume Houzeaux: guillaume.houzeaux@bsc.es