identifying contributors to large file size and slow run time
Posted: Thu Apr 28, 2022 10:21 am
Hi All,
Thanks for past help and thanks in advance for future help!
I'm looking to improve the run time of my model and reduce the output file size. I would like to know if there are any tools or means to identify which variables make the biggest contribution to slowing the model down and/or to the output file size.
There are usual suspects I'm addressing (reducing the number of subscripts in variables, vector select instead of sum used as sumproduct) but it would be good to have a more targeted approach across the thousands of variables in the model.
Any other advice is appreciated!
Thanks very much,
Tim
Thanks for past help and thanks in advance for future help!
I'm looking to improve the run time of my model and reduce the output file size. I would like to know if there are any tools or means to identify which variables make the biggest contribution to slowing the model down and/or to the output file size.
There are usual suspects I'm addressing (reducing the number of subscripts in variables, vector select instead of sum used as sumproduct) but it would be good to have a more targeted approach across the thousands of variables in the model.
Any other advice is appreciated!
Thanks very much,
Tim