Difference between revisions of "Large-Memory SMP Servers"
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− | [[Category: | + | [[Category:Scheduler]] |
Research Computing currently maintains the following resources for calculations requiring large amounts of physical memory. | Research Computing currently maintains the following resources for calculations requiring large amounts of physical memory. | ||
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|+ Large Memory Servers | |+ Large Memory Servers | ||
|- | |- | ||
− | ! | + | ! Nodes |
! Architecture | ! Architecture | ||
! Vendor | ! Vendor | ||
Line 11: | Line 11: | ||
! Frequency | ! Frequency | ||
! Cores | ! Cores | ||
− | ! Memory(GB) | + | ! SLURM Memory(GB) |
|- | |- | ||
− | + | | 1 || amd64 || AMD || EPYC 7702 || 2.0 || 128 || 4023 | |
− | | amd64 || AMD || | ||
|- | |- | ||
− | + | | 2 || amd64 || Intel || E7-8850 || 3.2 || 192 || 1509 | |
− | | amd64 || Intel || E7-8850 || 2 | ||
|} | |} | ||
− | + | For more details see automatically generated data in [[Available Node Features]] | |
− | |||
− | |||
− | + | The big memory machines are available only via the HiPerGator "bigmem" partition. To submit jobs to this partition you will need to add the following directive to your job submission script. | |
+ | #SBATCH --partition=bigmem | ||
− | + | Since our regular nodes have 1TB of available memory we do not recommend using bigmem nodes for jobs with memory requests lower than that. | |
− | |||
− |
Latest revision as of 15:33, 14 July 2022
Research Computing currently maintains the following resources for calculations requiring large amounts of physical memory.
Nodes | Architecture | Vendor | Processor | Frequency | Cores | SLURM Memory(GB) |
---|---|---|---|---|---|---|
1 | amd64 | AMD | EPYC 7702 | 2.0 | 128 | 4023 |
2 | amd64 | Intel | E7-8850 | 3.2 | 192 | 1509 |
For more details see automatically generated data in Available Node Features
The big memory machines are available only via the HiPerGator "bigmem" partition. To submit jobs to this partition you will need to add the following directive to your job submission script.
#SBATCH --partition=bigmem
Since our regular nodes have 1TB of available memory we do not recommend using bigmem nodes for jobs with memory requests lower than that.