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# Running and Saving Batch Jobs

`batch_run`()
  Syntax:

    `batch_run(tstop, tstep, "filename")`

    `batch_run(tstop, tstep, "filename", "comment")`

  Description:

    This command replaces the set of commands:

        while (t < tstop) {
                for i=0, tstep/dt {
                        fadvance()
                }
                // print results to filename
        }

    and produces the most efficient run on any given neuron model. This command was created specifically for Cray computers in order eliminate the interpreter overhead as the rate limiting simulation step.

    This command will save selected variables, as they are changed in the run, into a file whose name is given as the third argument. The 4th comment argument is placed at the beginning of the file. The `batch_save()` command specifies which variable are to be saved.

`batch_save`()
  Syntax:

    `batch_save()`

    `batch_save(&var, &var, ...)`

  Description:

  > `batch_save()`
  >   starts a new list of variables to save in a `batch_run()` .
  > `batch_save(&var, &var, ...)`
  >   adds pointers to the list of variables to be saved in a `batch_run`. A pointer to a range variable, eg. "v", must have an explicit arc length, eg. axon.v(.5).

  Example:

  >     batch_save()        //This clears whatever list existed and starts a new
  >                 //list of variables to be saved.
  >     batch_save(&soma.v(.5), &axon.v(1))
  >     for i=0,2 {
  >         batch_save(&dend[i].v(.3))
  >     }

  > specifies five quantities to be saved from each `batch_run`.

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