Github user JoshRosen commented on the issue:
https://github.com/apache/spark/pull/14854
@davies brought up a reasonable point that we might be able to achieve
similar benefits with less complexity by replacing the exponential ramp-up with
something that's linearly proportional to the amount of available executor
cores, thereby running a larger number of smaller jobs. That approach is going
to incur more per-job overheads but avoids adding any scheduler complexity
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