When we used SCDE on a dataset with multiple cores, we noticed there seemedd to be an issue with high memory usage. I think this is related to a long-standing bug in R parallelization here: https://github.com/tdhock/mclapply-memory
I modified the parallelization loop in scde's calculate.individual.models function: traversc@be34c81
This seemed to reduce memory usage for us when run on 40 cores.
When we used SCDE on a dataset with multiple cores, we noticed there seemedd to be an issue with high memory usage. I think this is related to a long-standing bug in R parallelization here: https://github.com/tdhock/mclapply-memory
I modified the parallelization loop in scde's calculate.individual.models function: traversc@be34c81
This seemed to reduce memory usage for us when run on 40 cores.