I am, for the first time, transitioning workflows from lab computers to HPC via ACCESS. While I have advanced knowledge of R and command-line operations, I have not used HPC before. I have navigate the ACCESS portals without struggle; my challenge is getting jobs on machines.
The project I am focusing on uses hierarchical Bayesian models written in R to 1) evaluate the effects of weather and climate on a vulnerable species of chipmunk; and 2) assess whether the North American porcupine has experienced an otherwise unnoticed range-wide decline. I have working code in R written and the data structures I need to run the code. Runtime and memory requirements are beyond a typical desktop's capacity, though. Since this is a Bayesian model, I expect that I need just 4 cores (at a time), but each running for quite a few hours (days/weeks?), with "modest" memory requirements (100-200GB). Data storage is likely < 1TB.