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MPI runs only on iterative solver. Edit #step as #step, solver=iterative
GPU run
abaqus j=test gpus=1
To monitor GPU usage, nvidia-smi -l
Running double precision
abaqus j=aaa double cpus=...
Installing scipy
Download Linux binary wheel of scipy 0.9 (0.10.1 works as well) from PyPi
Unzip
Copy scipy folder to SIMULIA/CAE/2017/linux_a64/tools/SMApy/python2.7/lib/python2.7/site-packages
Copy or make a static link the same scipy into SimulationServices/V6R2019x/linux_a64/tools/SMApy/python2.7/lib/python2.7/site-packages SIMULIA/Tosca/2019/linux_a64/tools/SMApy/python2.7/lib/python2.7/site-packages
match the version of scipy with built-in numpy of abaqus. Find the version made in similar time
EX: in abaqus 2019, numpy.version = 1.6.2 => May 2012 => scipy 0.10.1 as of Feb 2012
mdb.models[Model_Name].parts[Part_Name].Surface(name='Load_Contact',side1Faces= B)
There might NOT be a constructor of FaceArray
Instead of A[0], use A[0:1], keeping the sequence
Find nearby edges
tmp = instance.edges.findAt(((ix,iy,0),)) # id = tmp[0].index
next = tmp[0].getAdjacentEdges() # find nearby edges of edge "tmp"
forxinnext:
p1=x.getVertices()[0] # 1st point of nearby edgep2=x.getVertices()[1] # 2nd point of nearby edgex1=instance.vertices[p1].pointOn[0][0] #x coord of 1st pointy1=instance.vertices[p1].pointOn[0][1]
tmp=instance.vertices.findAt(((ix,iy,0),))
next=tmp[0].getEdges()
forseginnext:
ifnot (seginindices_seam_edges):
edges+=instance.edges[seg:seg+1]
The SIMUIA Established product installers aborts with an error message both in GUI and Command line (TUI) mode with the following error message:
ERROR: Cannot wait for process "/<Abaqus_Installer_directory_path>/AM_SIM_Abaqus_Extend.AllOS/1/inst/linux_a64/code/bin /DSYInsAppliGUI" "-CDpath" "/<Abaqus_Installer_directory_path>/AM_SIM_Abaqus_Extend.AllOS/1/"
Workaround: The workaround is to set the size of stack limit from unlimited to "10240".