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- docs.it4i/dgx2/accessing.md 1 addition, 6 deletionsdocs.it4i/dgx2/accessing.md
- docs.it4i/dgx2/job_execution.md 5 additions, 77 deletionsdocs.it4i/dgx2/job_execution.md
- docs.it4i/dgx2/software.md 26 additions, 3 deletionsdocs.it4i/dgx2/software.md
- docs.it4i/environment-and-modules.md 1 addition, 0 deletionsdocs.it4i/environment-and-modules.md
- docs.it4i/software/tools/ansys/licensing.md 1 addition, 0 deletionsdocs.it4i/software/tools/ansys/licensing.md
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- scripts/combinations.py 1 addition, 1 deletionscripts/combinations.py
- scripts/get_cvs.sh 5 additions, 4 deletionsscripts/get_cvs.sh
- scripts/get_modules.sh 6 additions, 4 deletionsscripts/get_modules.sh
- scripts/matrix.py 19 additions, 0 deletionsscripts/matrix.py
- scripts/modules-json.py 22 additions, 19 deletionsscripts/modules-json.py
- scripts/modules-matrix.py 35 additions, 27 deletionsscripts/modules-matrix.py
# Accessing the DGX-2 | # Accessing the DGX-2 | ||
## Before You Access | |||
!!! warning | |||
GPUs are single-user devices. Memories of each GPU are not purged between job runs. Furthermore, they can be read (but not written) by any user at any time. Consider the confidentiality of your running jobs. | |||
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## How to Access | ## How to Access | ||
!!! info | !!! info | ||
... | @@ -14,4 +9,4 @@ The DGX-2 machine can be accessed through the scheduler from Salomon login nodes | ... | @@ -14,4 +9,4 @@ The DGX-2 machine can be accessed through the scheduler from Salomon login nodes |
The NVIDIA DGX-2 has its own instance of the scheduler, it can be accessed by loading the `DGX-2` module. See [Resource Allocation and Job Execution][1]. | The NVIDIA DGX-2 has its own instance of the scheduler, it can be accessed by loading the `DGX-2` module. See [Resource Allocation and Job Execution][1]. | ||
[1]: job_execution.md | [1]: job_execution.md | ||
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scripts/matrix.py
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