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Update doc irma-atlas -> atlas
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Sep 07, 2017
by
Matthieu Boileau
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# Nodes configuration
The configuration has a frontal node, named
`
irma-
atlas`
, and 4 compute nodes
`
irma-
atlas[1-4]`
.
The configuration has a frontal node, named
`atlas`
, and 4 compute nodes
`atlas[1-4]`
.
## Frontal node `
irma-
atlas`
## Frontal node `atlas`
*
64 cores on 4 sockets (AMD Opteron 6386 SE 2.8 Ghz)
,
*
512 GB of RAM
,
*
2.4 TB of storage on SSD
,
(directory: /ssd)
*
70 TB for data storage (10'000 rpm HDD)
,
(directory: /data)
*
NFS mount to access laboratory data
,
(such as /home)
*
64 cores on 4 sockets (AMD Opteron 6386 SE 2.8 Ghz)
*
512 GB of RAM
*
2.4 TB of storage on SSD (directory:
`
/ssd
`
)
*
70 TB for data storage (10'000 rpm HDD) (directory:
`
/data
`
)
*
NFS mount to access laboratory data (such as
`
/home
`
)
## Compute nodes `
irma-
atlas[1-4]` (x4)
## Compute nodes `atlas[1-4]` (x4)
*
24 cores on 2 sockets (Intel Xeon E5-2680 v3 2.50GHz), hyperthreaded
*
256 GB of RAM
*
1 TB scratch dir
(
/scratch
)
*
NFS mount to access frontal node data: /ssd and /data
*
NFS mount to access laboratory data
,
(such as /home)
*
1 TB scratch dir
`
/scratch
`
*
NFS mount to access frontal node data:
`
/ssd
`
and
`
/data
`
*
NFS mount to access laboratory data (such as
`
/home
`
)
Since the 25th of novembre 2015, the
`
irma-
atlas4`
node has been equipped with 2 NVIDIA K80 GPGPU cards.
Since the 25th of novembre 2015, the
`atlas4`
node has been equipped with 2 NVIDIA K80 GPGPU cards.
Everything is interconnected with both 10Gb Ethernet cards and 40Gb Infiniband cards.
The workload manager is
[
slurm
](
https://computing.llnl.gov/linux/slurm/
)
.
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