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# Getting Started | ||
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## Account Creation | ||
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Create an account with the cluster at [Account Console](https://auth.cms.physics.ua.edu/realms/ua-cms/account/), or ask an administrator to create one on your behalf. | ||
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Once an account has been created, it will not have access to any resources until granted such by an administrator. | ||
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## FPGA Access | ||
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FPGAs can be accessed via [JupyterHub](https://jupyter.cms.physics.ua.edu). There are two notebook options availible that support FPGAS: | ||
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- MATLAB with FPGA (1x Alveo U200) | ||
- MATLAB without FPGA | ||
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Currently, the cluster has **0** FPGAs installed. If all FPGAs are in use, your notebook will not launch. | ||
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Each notebook is provided with MATLAB Online, as well as VNC access to the Desktop version via the "Desktop" option. | ||
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To launch MATLAB in the Desktop option, from a terminal window, run `DISPLAY=:1 /opt/matlab/bin/matlab` | ||
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### Installation of HDL Toolbox / Coder FPGA Support Libraries | ||
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During the extension install process, the Xilinx support libraries are written to the `$HOME/Documents` folder, which is overwritten by your user data volume. As such, to enable the support packages, run the following command: | ||
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```bash | ||
wget -q https://www.mathworks.com/mpm/glnxa64/mpm \ | ||
&& chmod +x mpm \ | ||
&& ./mpm install \ | ||
--release=r2024b \ | ||
--destination=/opt/matlab \ | ||
--products Deep_Learning_HDL_Toolbox_Support_Package_for_Xilinx_FPGA_and_SoC_Devices HDL_Coder_Support_Package_for_Xilinx_FPGA_and_SoC_Devices | ||
``` | ||
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This only needs to be ran once per-user. | ||
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## Docker Registry | ||
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When deploying images to run on the cluster, the cluster's [Docker Registry](https://registry.cms.physics.ua.edu) should be used. | ||
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Note that when authenticating the registry via the command-line, the password prompt should be filled with a token generated from the registry's web GUI, not your actual password. |
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