Commit 1d94f672 authored by Lasse Lensu's avatar Lasse Lensu
Browse files

Minor updates

parent d512429b
......@@ -15,11 +15,11 @@ Access using the secure shell:
## Available hardware
CPU: Intel(R) Xeon(R) CPU E5-2680 @ 2.70GHz
CPUs: 2x Intel(R) Xeon(R) CPU E5-2680 @ 2.70GHz
GPUs:
* x2 [GTX Titan 6GB GDDR5](https://www.geforce.com/hardware/desktop-gpus/geforce-gtx-titan/specifications)
* x2 [GTX 1080Ti 11 GB GDDR5X](https://www.nvidia.com/en-us/geforce/products/10series/geforce-gtx-1080-ti/)
* 2x [GTX Titan 6GB GDDR5](https://www.geforce.com/hardware/desktop-gpus/geforce-gtx-titan/specifications)
* 2x [GTX 1080Ti 11 GB GDDR5X](https://www.nvidia.com/en-us/geforce/products/10series/geforce-gtx-1080-ti/)
To check the current GPU load and available resources use:
```
......@@ -42,13 +42,18 @@ os.environ["CUDA_VISIBLE_DEVICES"]="1"
```
Some frameworks (e.g. TensorFlow) are greedy and they allocate resources on all the
available devices while utilizing only one of them effectively. By explicitly
specifying which GPU device you need you do not block other users in using the
server.
specifying which GPU device you need you do not block other users from using
the server.
## Local storage and data transfer
TBD.
Currently the server has only a small SSD drive (OS and staff home) and a large
HD (mounted to /media). If you are working with large datasets and/or your
experiments produce large log or model files, you should consider where they are
stored. Do not fill the SSD drive with anything extra.
Assuming that a user has two directories with code and data, e.g.:
```
/home/user/code/
......@@ -60,7 +65,6 @@ scp -r /home/user/code user_login@server_ip:/media/students/user/
scp -r /home/user/data user_login@server_ip:/media/students/user/
```
## Dependencies and software installation
We are trying to keep the server clean and to avoid version conflicts. Thus,
......@@ -108,4 +112,4 @@ TBD.
# Additional questions and support
Contact: azat.garifullin@lut.fi
\ No newline at end of file
Contact: azat.garifullin@lut.fi
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