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Uses same Node type options as Owens #255

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Uses same Node type options as Owens #255

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83 changes: 19 additions & 64 deletions apps.awesim.org/apps/bc_desktop/cardinal.yml.erb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -68,82 +68,37 @@ attributes:
widget: select
label: "Node type"
help: |
- **Standard Compute** <br>
These are standard HPC machines. There are 224 with 40 cores and
340 with 48. They all have 192 GB of RAM. Chosing any will decrease
your wait time.
- **GPU Enabled** <br>
These are HPC machines with [NVIDIA Tesla V100 GPUs]. They have the same
40 core machines have 2 GPUs with 16 GB of RAM and 48 core machines have 2
with 32 GB of RAM. Densegpu types have 4 GPUs with 16 GB of RAM.
Visualization nodes are GPU enabled nodes with an X Server in the background
for 3D visualization using VirtualGL.
- **Large Memory** <br>
These are HPC machines with very large amounts of memory. Largmem nodes
have 48 cores with 768 GB of RAM. Hugemem nodes have 80 cores with 3 TB of RAM.

Visit the OSC site for more [detailed information on the Pitzer cluster].
[detailed information on the Pitzer cluster]: https://www.osc.edu/resources/technical_support/supercomputers/pitzer
[NVIDIA Tesla V100 GPUs]: https://www.nvidia.com/en-us/data-center/v100/
- **any** - (*28 cores*) Chooses anyone of the available Cardinal nodes.
This reduces the wait time as you have no requirements.
- **vis** - (*28 cores*) This node includes an NVIDIA Tesla P100 GPU with
an X server running in the background. This allows for Hardware
Rendering with the GPU typically needed for 3D visualization using
VirtualGL. There are currently only 10 of these nodes on Owens.
- **gpu** - (*28 cores*) This node includes an NVIDIA Tesla P100 GPU
allowing for CUDA computations. There are currently only 160 of these
nodes on Cardinal. These nodes don't start an X server, so visualization
with hardware rendering is not possible.
- **hugemem** - (*48 cores*) This Owens node has 1.5TB of available RAM
as well as 48 cores. There are 16 of these nodes on Owens.
options:
- [
"any", "any",
data-min-cores: 1,
data-max-cores: 80,
data-set-gpus: 0,
data-max-cores: 28,
]
- [
"40 core", "any-40core",
"vis", "vis",
data-min-cores: 1,
data-max-cores: 40,
data-set-gpus: 0,
data-max-cores: 28,
]
- [
"48 core", "any-48core",
"gpu", "gpu-any",
data-min-cores: 1,
data-max-cores: 48,
data-set-gpus: 0,
]
- [
"any gpu", "gpu-any",
data-min-cores: 1,
data-max-cores: 48,
data-set-gpus: 1,
]
- [
"40 core with gpu", "gpu-40core",
data-min-cores: 1,
data-max-cores: 40,
data-set-gpus: 1,
]
- [
"48 core with gpu", "gpu-48core",
data-min-cores: 1,
data-max-cores: 48,
data-set-gpus: 1,
]
- [
"densegpu", "densegpu",
data-min-cores: 1,
data-max-cores: 48,
data-set-gpus: 4,
]
- [
"visualization node", "vis",
data-min-cores: 1,
data-max-cores: 48,
data-set-gpus: 1,
]
- [
"largemem", "largemem",
data-min-cores: 24,
data-max-cores: 48,
data-set-gpus: 0,
data-max-cores: 28,
]
- [
"hugemem", "hugemem",
data-min-cores: 20,
data-max-cores: 80,
data-set-gpus: 0,
data-min-cores: 4,
data-max-cores: 48,
]
submit: submit/slurm.yml.erb
83 changes: 19 additions & 64 deletions ondemand.osc.edu/apps/bc_desktop/cardinal.yml.erb
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -68,82 +68,37 @@ attributes:
widget: select
label: "Node type"
help: |
- **Standard Compute** <br>
These are standard HPC machines. There are 224 with 40 cores and
340 with 48. They all have 192 GB of RAM. Chosing any will decrease
your wait time.
- **GPU Enabled** <br>
These are HPC machines with [NVIDIA Tesla V100 GPUs]. They have the same
40 core machines have 2 GPUs with 16 GB of RAM and 48 core machines have 2
with 32 GB of RAM. Densegpu types have 4 GPUs with 16 GB of RAM.
Visualization nodes are GPU enabled nodes with an X Server in the background
for 3D visualization using VirtualGL.
- **Large Memory** <br>
These are HPC machines with very large amounts of memory. Largmem nodes
have 48 cores with 768 GB of RAM. Hugemem nodes have 80 cores with 3 TB of RAM.

Visit the OSC site for more [detailed information on the Pitzer cluster].
[detailed information on the Pitzer cluster]: https://www.osc.edu/resources/technical_support/supercomputers/pitzer
[NVIDIA Tesla V100 GPUs]: https://www.nvidia.com/en-us/data-center/v100/
- **any** - (*28 cores*) Chooses anyone of the available Cardinal nodes.
This reduces the wait time as you have no requirements.
- **vis** - (*28 cores*) This node includes an NVIDIA Tesla P100 GPU with
an X server running in the background. This allows for Hardware
Rendering with the GPU typically needed for 3D visualization using
VirtualGL. There are currently only 10 of these nodes on Owens.
- **gpu** - (*28 cores*) This node includes an NVIDIA Tesla P100 GPU
allowing for CUDA computations. There are currently only 160 of these
nodes on Cardinal. These nodes don't start an X server, so visualization
with hardware rendering is not possible.
- **hugemem** - (*48 cores*) This Owens node has 1.5TB of available RAM
as well as 48 cores. There are 16 of these nodes on Owens.
options:
- [
"any", "any",
data-min-cores: 1,
data-max-cores: 80,
data-set-gpus: 0,
data-max-cores: 28,
]
- [
"40 core", "any-40core",
"vis", "vis",
data-min-cores: 1,
data-max-cores: 40,
data-set-gpus: 0,
data-max-cores: 28,
]
- [
"48 core", "any-48core",
"gpu", "gpu-any",
data-min-cores: 1,
data-max-cores: 48,
data-set-gpus: 0,
]
- [
"any gpu", "gpu-any",
data-min-cores: 1,
data-max-cores: 48,
data-set-gpus: 1,
]
- [
"40 core with gpu", "gpu-40core",
data-min-cores: 1,
data-max-cores: 40,
data-set-gpus: 1,
]
- [
"48 core with gpu", "gpu-48core",
data-min-cores: 1,
data-max-cores: 48,
data-set-gpus: 1,
]
- [
"densegpu", "densegpu",
data-min-cores: 1,
data-max-cores: 48,
data-set-gpus: 4,
]
- [
"visualization node", "vis",
data-min-cores: 1,
data-max-cores: 48,
data-set-gpus: 1,
]
- [
"largemem", "largemem",
data-min-cores: 24,
data-max-cores: 48,
data-set-gpus: 0,
data-max-cores: 28,
]
- [
"hugemem", "hugemem",
data-min-cores: 20,
data-max-cores: 80,
data-set-gpus: 0,
data-min-cores: 4,
data-max-cores: 48,
]
submit: submit/slurm.yml.erb
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