parallel (cluster vs local) and UDFs
 

Hi,
Is running parallel on a cluster of different machines the same as running parallel on a local machine? I am asking this based from the point of view of compiling UDFs.

I have not been able to load my library after compilation; getting the following messages:

Opening library "libudf"...
Primitive Error at Node 0: open_udf_library: The operation completed successfully.

Primitive Error at Node 1: open_udf_library: The system cannot find the file specified.

Primitive Error at Node 2: open_udf_library: The system cannot find the file specified.

Primitive Error at Node 3: open_udf_library: The system cannot find the file specified.

Error: open_udf_library: The operation completed successfully.
Error Object: #f

All helps are deeply appreciated.

Thank you.


Sincerely,
EH

Re:parallel (cluster vs local) and UDFs
 

You need to copy the compiled library folders to all the nodes on your cluster.

Thank you for your reply. What do you mean by nodes on your cluster? Because at the moment, I only selected parallel in the FLUENT Launch window but did not do any partitioning to actually solve the problem in parallel.

In the start-up window, you have a Tab - Parallel Setting, the run type defaults to shared memory, but in your case this will not work of course, you have to work with the distributed memory. However, I do not have experience with it, so good luck :)