Difference between revisions of "Large-Memory SMP Servers"

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The HPC Center within Research Computing currently maintains the following resources for calculations requiring large amounts of physical memory.
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[[Category:Scheduler]]
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Research Computing currently maintains the following resources for calculations requiring large amounts of physical memory.
  
# 21 Intel (E5462, 8x 2.8 GHz cores) servers with 64 GB of RAM (physical memory)
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{| class="wikitable" style="text-align: center;"
# 1 Intel (X7560, 16x 2.2 GHz cores) server with 128 GB of RAM.
 
# 1 AMD (Opteron 6174, 48x 2.2 GHz cores) server with 512 GB of RAM
 
 
 
{| class="wikitable" style="text-align: center; width: 200px; height: 200px;"
 
 
|+ Large Memory Servers
 
|+ Large Memory Servers
 
|-
 
|-
! Host
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! Nodes
 
! Architecture  
 
! Architecture  
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! Vendor
 
! Processor  
 
! Processor  
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! Frequency
 
! Cores
 
! Cores
! RAM (GB)
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! SLURM Memory(GB)
 
|-
 
|-
! scope="row" | r12a-s38
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| 1 || amd64 || AMD || EPYC 7702 || 2.0 || 128 || 4023
| emt64 || Intel X7560 || 16 || 128  
 
 
|-
 
|-
! scope="row" | r12a-s40
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| 2 || amd64 || Intel || E7-8850 || 3.2 || 192 || 1509
| amd64 || Opteron 6174 || 48 || 512
 
 
|}
 
|}
  
The 128 GB and 512 GB machines are available only via a restricted queue (bigmem).   To submit jobs to this queue you will need to add the '''#PBS -q bigmem''' directive to your job script or use "-q bigmem" option on the ''qsub'' command line. 
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For more details see automatically generated data in [[Available Node Features]]
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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.
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  #SBATCH --partition=bigmem
  
Before attempting to run jobs via the bigmem queue, you should request access to the bigmem queue via a support request (http://support.hpc.ufl.edu).  Please also be aware that memory is not free and servers with hundreds of gigabytes of RAM are still fairly expensive.  For this reason and so that resources can be allocated fairly, resource requests are considered on the basis of [http://wiki.hpc.ufl.edu/index.php/Processor_Equivalents processor equivalents].
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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.

Large Memory Servers
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.