TuneJobs

Distributed tuning job count

Type: int
Default value: 0
Minimum value: 0
Maximum value: 2000000000

Enables distributed parallel tuning, which can significantly increase the performance of the tuning tool. A value of n causes the tuning tool to distribute tuning work among n parallel jobs. These jobs are distributed among a set of compute servers. Use the ServerPool parameter to provide a list of available compute servers.

Note that distributed tuning is most effective when the servers have similar performance. Distributed tuning doesn't attempt to normalize performance by server, so it can incorrectly attribute a boost in performance to a parameter change when the associated setting is tried on a compute server that is significantly faster than the others.