Originally posted by: mikeab
I have a model with lots of pre-processing steps. Each step is in a Execute block. I created lots of tuples (aka drive tables) to save the data in each step and then feed it to the next execute block.
I run out of RAM when the problem size increases. For example I have an array with about 60K rows of data in it (all of them are 0 or 1).
I believe it is because of all those tuples that I create in my preprocessing steps.
if I write something like TupleName.clear() ; would that be helpful freeing up the RAM ?
is there any better way ?
I have a 4 Core CPU with 32GB of RAM.
Thanks
Mike
#DecisionOptimization#OPLusingCPLEXOptimizer