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P June 13, 2005 10:29

64 Bit machine
My department has boungut AMD linux 64 bit processor. In each computer we have two processor. I want to run Fluent in parallel in these two processor in a computer.

Please tell me is it possible?


pUl| June 13, 2005 13:08

Re: 64 Bit machine

Try 'fluent version -tnprocs'

Where version is 2d, 2ddp, 3d etc. and nprocs is to be replaced by the number of processors.

For instance, for a 3 dimensional problem in a dual processor system you would type:

fluent 3d -t2

Evan Rosenbaum June 13, 2005 15:59

Re: 64 Bit machine
Sure, as long as you have enough licenses. Each CPU takes up a seat.

Jason June 14, 2005 10:55

Re: 64 Bit machine
You can also buy parrallel licenses. They are much cheaper than buying an entire second license.


P June 14, 2005 14:02

Re: 64 Bit machine
Well my question is if I have parallel license it is possible to run fluent in parallel version in these two processor or not.


Jason June 15, 2005 08:21

Re: 64 Bit machine
I'm not an expert, but from what I've heard on the forum, people are using 64-bit AMD machines. I would think that you wouldn't have any problems (assuming its set up correctly and you have the proper licenses).

Only way to know is to try, and if you run into problems, then post your problem on here, and someone may know how to fix it.

Good luck, Jason

Aaron June 15, 2005 09:40

Re: 64 Bit machine
If its a Linux OS and you have a message passing interface software (and network interconnect card if the processors are on separate nodes), then you can. If not, then I think you can't. If you have Windows, then I don't know, but I believe you would still need some way of passing messages through a "traffic cop" so the two processors could know how to communicate with one another.

For your purposes, it should be easy to obtain a "network" message passing interface (NMPI). There are many free ones available, such as ROCKS, which comes from the San Diego supercomputing center -->

Arun June 24, 2005 13:17

Re: 64 Bit machine
You can run parallel process on two processors. If you are using a single memory for both processors, then you can run Shared MPI which is much faster than Network MPI.

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