[FEA] Qual tool should recommend spark.executor.cores based on best TCO value from internal benchmark

[viadea]

Is your feature request related to a problem? Please describe.
Qual tool should recommend spark.executor.cores based on best TCO value from internal benchmark instead of inheriting CPU run.
For example in an extreme situation, if CPU run's spark.executor.cores=1 , currently Qual tool will recommend GPU run uses spark.executor.cores=1 as well which does not seem right from TCO point of view.

Imagine if CPU run is using 160 x spark.executor.cores=1, should GPU run also use:
160 x (spark.executor.cores=1, 1 GPU) -- Qual tool recommendation
Or
10 x (spark.executor.cores=16, 1 GPU)? -- the proposal here

Describe the solution you'd like
My proposal is:
For on-prem cluster at least, we set the recommended GPU run’s spark.executor.cores to 16 or 8 instead of inheriting the CPU’s value.
Of course, the 8 or 16 or whatever value should come from internal benchmark results to prove this setting can achieve best TCO.