FASSE Compute Partitions

If your FASSE session has crashed due to insufficient memory, it may be due to using the incorrect partition. A partition is a queue for your work, and FASSE has several of these, each with different sizes and restrictions. In RStudio, you can select which partition you would like to use before you start your session. Below you can see where to type the name of the desired partition.

Sometimes the data you are working with can require a very large amount of memory, such as individual data from Medicare enrollment files. If you are anticipating using a lot of memory, you should request from the fasse_bigmem partition.

Note

To view FASSE partions and learn more, see the official FASSE documentation.

For your convenience, the list is also below, updated August 2022:

Partition	Number of Nodes	Cores per Node	CPU Core Types	Mem per Node (GB)	Time Limit	Max Jobs	Max Cores	MPI Suitable?	GPU Capable?
fasse	42	48	Intel “Cascade Lake”	184	7 days	none	none	yes	No
fasse_bigmem	6	64	Intel “Ice Lake”	499	7 days	none	none	yes	No
fasse_gpu	4	32	Intel	“Cascade Lake”	373	7 days	none	none	yes
test	5	48	Intel “Cascade Lake”	184	8 hours	5	96 cores	yes	No
remoteviz	1	32	Intel “Cascade Lake”	373	7 days	none	none	no	Shared V100 GPUs for rendering
serial_requeue	varies	varies	Intel	varies	7 days	none	none	No	Yes
PI/Lab nodes	varies	varies	varies	varies	none	none	none	varies	varies