Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Adds cardinal cluster to bc_desktop - copied from pitzer.yml.erb #253

Merged
merged 2 commits into from
May 14, 2024
Merged

Adds cardinal cluster to bc_desktop - copied from pitzer.yml.erb #253

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
391ce6c
Adds cardinal cluster to bc_desktop - copied from pitzer.yml.erb
HazelGrant May 14, 2024
e49a35d
Adds cardinal to bc_desktop for awesim
HazelGrant May 14, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
149 changes: 149 additions & 0 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
@@ -0,0 +1,149 @@
<%-
groups = OodSupport::User.new.groups.sort_by(&:id).tap { |groups|
groups.unshift(groups.delete(OodSupport::Process.group))
}.map(&:name).grep(/^P./)
-%>
---
title: "Cardinal Desktop"
cluster: "cardinal"
description: |
This app will launch an interactive desktop on one or more compute nodes. It is
a large environment for when you need a lot of compute and/or memory resources because
you will have full access to all the resources on that compute node(s).

If you do not need all these resources, use the
[Lightweight Desktop](/pun/sys/dashboard/batch_connect/sys/bc_desktop/vdi/session_contexts/new)
app instead which is much more lightweight for general-purpose use cases.
form:
# everything is taken from bc_desktop/form.yml except cores is added
- bc_vnc_idle
- desktop
- account
- bc_num_hours
- gpus
- cores
- bc_num_slots
- licenses
- node_type
- bc_queue
- bc_vnc_resolution
- bc_email_on_started
attributes:
desktop:
widget: select
label: "Desktop environment"
options:
- ["Xfce", "xfce"]
- ["Mate", "mate"]
- ["Gnome", "gnome"]
help: |
This will launch either the [Xfce] or [Mate] desktop environment on the
[Cardinal cluster].

[Xfce]: https://xfce.org/
[Mate]: https://mate-desktop.org/
[Cardinal cluster]: https://www.osc.edu/supercomputing/computing/Cardinal
bc_queue: null
account:
label: "Project"
widget: select
options:
<%- groups.each do |group| %>
- "<%= group %>"
<%- end %>
cores:
widget: number_field
value: 48
min: 1
max: 48
step: 1
gpus:
widget: number_field
min: 0
max: 4
licenses:
value: ""
widget: hidden_field
node_type:
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/
options:
- [
"any", "any",
data-min-cores: 1,
data-max-cores: 80,
data-set-gpus: 0,
]
- [
"40 core", "any-40core",
data-min-cores: 1,
data-max-cores: 40,
data-set-gpus: 0,
]
- [
"48 core", "any-48core",
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,
]
- [
"hugemem", "hugemem",
data-min-cores: 20,
data-max-cores: 80,
data-set-gpus: 0,
]
submit: submit/slurm.yml.erb
149 changes: 149 additions & 0 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
@@ -0,0 +1,149 @@
<%-
groups = OodSupport::User.new.groups.sort_by(&:id).tap { |groups|
groups.unshift(groups.delete(OodSupport::Process.group))
}.map(&:name).grep(/^P./)
-%>
---
title: "Cardinal Desktop"
cluster: "cardinal"
description: |
This app will launch an interactive desktop on one or more compute nodes. It is
a large environment for when you need a lot of compute and/or memory resources because
you will have full access to all the resources on that compute node(s).

If you do not need all these resources, use the
[Lightweight Desktop](/pun/sys/dashboard/batch_connect/sys/bc_desktop/vdi/session_contexts/new)
app instead which is much more lightweight for general-purpose use cases.
form:
# everything is taken from bc_desktop/form.yml except cores is added
- bc_vnc_idle
- desktop
- account
- bc_num_hours
- gpus
- cores
- bc_num_slots
- licenses
- node_type
- bc_queue
- bc_vnc_resolution
- bc_email_on_started
attributes:
desktop:
widget: select
label: "Desktop environment"
options:
- ["Xfce", "xfce"]
- ["Mate", "mate"]
- ["Gnome", "gnome"]
help: |
This will launch either the [Xfce] or [Mate] desktop environment on the
[Cardinal cluster].

[Xfce]: https://xfce.org/
[Mate]: https://mate-desktop.org/
[Cardinal cluster]: https://www.osc.edu/supercomputing/computing/Cardinal
bc_queue: null
account:
label: "Project"
widget: select
options:
<%- groups.each do |group| %>
- "<%= group %>"
<%- end %>
cores:
widget: number_field
value: 48
min: 1
max: 48
step: 1
gpus:
widget: number_field
min: 0
max: 4
licenses:
value: ""
widget: hidden_field
node_type:
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/
options:
- [
"any", "any",
data-min-cores: 1,
data-max-cores: 80,
data-set-gpus: 0,
]
- [
"40 core", "any-40core",
data-min-cores: 1,
data-max-cores: 40,
data-set-gpus: 0,
]
- [
"48 core", "any-48core",
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,
]
- [
"hugemem", "hugemem",
data-min-cores: 20,
data-max-cores: 80,
data-set-gpus: 0,
]
submit: submit/slurm.yml.erb
Loading