Parallel Computation For Genetic Training

From what I understand, all the training for each strategy is done one after the other. How possible is it to run the Genetic Algorithm for training as a parallel process for all strategies in the databank instead of asynchronously? 


I don't know if this has already been addressed but I think it should speed up the training process significantly with higher core count CPU's and when GPU support is eventually included.


It may be beneficial to allow users to choose a certain amount of strategies to be processed in parallel. For example, in a databank of 100, a user may want 20 strategies at a time to be processed in parallel depending on their computer hardware specifications. Of course, the maximum would allow all strategies in the databank to be trained in parallel. 

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  • Votes +1
  • Project StrategyQuant X
  • Type Feature
  • Status Refused
  • Priority Normal

History

KL
#1

kainc301

12.08.2019 02:52

Task created

m
#2

Mariano

30.03.2020 16:55
Voted for this task.
MF
#3

Mark Fric

20.10.2020 14:47

Status changed from New to Refused

it already is parallel

Votes: +1

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