How do I setup and execute a “ADF” parallel batch job?
The ADF package is able to execute on several processors simultaneously in a distributed-memory fashion. This means that some tasks such as the calculation of a large number of matrix elements, or numerical integrations may be done in a fraction of the time it takes to execute on a single CPU. For this, the processors on the SunFire cluster need to be able to communicate. To this end, the SUN version of ADF uses the MPI (Message Passing Interface), a well-established communication system. Because ADF uses a different version of the parallel system MPI, executing the use adf command will also cause to that version, which might have an impact on jobs that you are running from the same shell later. To undo this effect, you need to type use ct6 when you are finished using ADF and want to return to the production version of MPI. Refer to the next section for information on how to submit a parallel ADF job through Grid Engine. For more information about running ADF in parallel look at the AD
