The College of Engineering provides access to a Great Lakes resource account that can be used by any Engineering student, faculty, or staff member. This shared resource account is not intended to replace or supplement other departmental or group accounts. Research groups who need more computation than what is provided under the usage limits (listed below), or who need their jobs to start earlier and faster than what they would use under this shared account, should obtain their own Great Lakes account.
General U-M Great Lakes accounts can only be obtained by research groups across University departments, centers, institutes, or other units. In addition, graduate students can use Rackham Graduate Student Research Grants to purchase their own, private Great Lakes accounts.
|Resource||Overall account limit||Individual usage limits
(maximums per person)
|cpu||90 cores / 450 GB RAM||36 cores / 180 GB RAM
Runtime: 5 core*months remaining across all running jobs
|gpu||2 GPUs / 40 cores / 180 GB RAM||2 GPUs / 40 cores / 180 GB RAM
Runtime: 48 gpu*hours remaining across all running jobs
Uses of the general Great Lakes allocations include, but are not limited to:
- Testing the service to determine whether to purchase an account.
- Note that Principal Investigators (PIs) who have not used Great Lakes can also request a one-time trial account by contacting email@example.com.
- The trial gives $150 worth of compute, and cannot be used after one (1) month.
- Experimentation and exploration on an ad hoc, small-scale basis of questions not necessarily tied to any particular research project; without needing to obtain funding for a paid resource account.
The College of Engineering has set usage limits on its shared Great Lakes resource account, engin1 , in order to prevent a single individual or small group from monopolizing the allocations for extended periods of time to the detriment of others:
The standard Partition:
On the standard partition, an individual may use up to 36 cores or up to 180 GB of memory across all of their running jobs at any point in time on engin1. Additionally, individuals are limited to having no more than 5*core months (3,600*core hours) worth of jobs running at any one time. The limits are calculated by summing the product of the remaining walltime and number of cores for all of a given individual’s running jobs. 5 core*months are sufficient to run a 10 core job for 14 days, or a 20 core job for 7.5 days, or a 36 core job for 4 days, or two 18 core jobs for 4 days, or many other combinations.
The gpu Partition:
Two GPUs, with 40 cores and 180 GB of RAM, are available in engin1 on the gpu partition. Individuals are limited to having no more than 48 gpu*hours worth of jobs running at any one time, which means the maximum walltime is 24 hours when using two GPUs, and when one GPU is used, it is 48 hours. Both the GPUs in engin1 may be used at the same time by an individual, either in the same job or in two separate jobs.
Send any questions about the College of Engineering’s shared Great Lakes account to: firstname.lastname@example.org