You can request up to 48 processors (one Gadi node) for parallel Gaussian jobs but always choose the best number of processors appropriate for your job (this knowledge will come with experience). For production runs you will probably need to increase your memory request. The default Gaussian memory setting is set low to allow quick interactive tests of your input deck. The main resources to consider are memory, number of processors and scratch space which can be specified in various ways: see the equivalencies section in the Link 0 commands. If you are unsure of the resource requirements for your calculation refer to the Gaussian user guide's Efficiency Considerations. Note that as the Gaussian program is made up of a myriad of methods and functionality there is no typical Gaussian jobscript and we strongly advise users to give careful thought to the resources needed for your system size (as measured by number of basis functions) and calculation type.
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