A manual for new starters in our group ayanglab
NOTE
- this repo will be transferred to https://github.com/ayanglab in a near future
- FAQ
- Computational Resources in
ayanglab
- JADE2
- NAS
- Datasets overview
- SSH Connection
- Trello
- Build Environment
- Remote Desktop
- Matlab
- Office Key
- Office AC
- Journal Club
If you have any questions, please post it on issues, or find answers in FAQ.
- raise an issue in this repository
- email anyone you think can help with this issue and CC Dr Guang Yang
- raise an issue in this repository
- provide your suggestions and solutions in the issue
- email anyone you think can help with this issue and CC Dr Guang Yang
Name | Administrator | |
---|---|---|
yanglab0 | Shiyi Wang Zeyu Tang |
[email protected] [email protected] |
yanglab | Jiahao Huang | [email protected] |
yanglab1 | Ming Li | [email protected] |
yanglab2 | Yang Nan | [email protected] |
yanglab3 | Xiaodan Xing | [email protected] |
yanglab4 | Yingying Fang | [email protected] |
yanglab5 | - | - |
yanglab6 | - | - |
yanglab7 | Yinzhe Wu | [email protected] |
yanglab8 | Fanwen Wang | [email protected] |
yanglab9 | - | - |
yanglab10 | - | - |
yanglab11 | - | - |
yanglab12 | - | - |
yanglab13 | - | - |
yanglab14 | - | - |
yanglab15 | - | - |
DistriM | Ming Li | [email protected] |
- check workstation IP in
Teams
Path: Files/Workstation Information - ask Dr Guang Yang for
Teams
permission
- For more instructions on how to use JADE2, please check JADE tutorial.
- For more instructions on how to set up on Google Colab, please check Set up Google Colab.
Name | NAS mount path on local workstation | Administrator | |
---|---|---|---|
NAS1 | /media/NAS00 | - | - |
NAS2 | /media/NAS01 /media/NAS02 |
- | - |
NAS3 | /media/NAS03 | - | - |
NAS4 | /media/NAS04 | - | - |
NAS5 | /media/NAS05 | - | - |
NAS6 | /media/NAS06 | - | - |
NAS_CMR | /media/NAS_CMR | - | - |
NAS_CMR2 | /media/NAS_CMR2 | - | - |
Attention
:- we are not running a company, we are just a research lab, we do not have any IT or Operation & Maintenance engineers
- our NASs are not Enterprise Data Warehouse and we do not have disaster recovery backup
- please do not load data to gpus from /media/NAS* directly
- when you train models, please transfer data to corresponding workstations, every workstation has large local HDD or SSD (path: /media/hdd or /media/ssd, use command
"df -h"
to check the path) - only use NAS for dataset/models/projects backup
- please refer to
Teams
Path: Team notes
- please refer to
Teams
Path: Team notes- before you download any dataset from the internet, check
Teams notes
in case repeated storage (save NAS space) - once you save any new dataset on NAS, please remember to update the
Teams notes
- before you download any dataset from the internet, check
Zescaler:
- install zescaler
- find the Zscaler client connector icon and selecting ‘Open Zscaler’
- log in as [email protected] with your standard Imperial password
- Use ssh to connect to the workstation, please refer to
Teams
Path: Team notes - For other questions, please refer to
Unified Access in Imperial
Path: Unified Access
Zerotier:
- install zerotier
- ask Dr Guang Yang for oral zerotier access permission
- email Ming Li (CC Dr Guang Yang) to authorize your zerotier connection (provide your zerotier address e.g., 530c509607)
- login workstation (ask corresponding administrator to help you set up new account)
- Register a Trello account using imperial email in Trello
- Find project management in the template and create a workspace and board from this templete
- Change the workspace and board name to PhD students (Your Name)
- Share this workspace to Dr Guang Yang's email
- please refer to building local environments and reinstallation of CUDA
- please refer to remote_desktop_and_matlab
Name | key number |
---|---|
Ming Li | 1 |
Xiaodan Xing | 1 |
Yang Nan | 1 |
Jiahao Huang | 1 |
Yingying Fang | 1 |
Shiyi Wang | 1 |
Fanwen Wang | 1 |
Sheng Zhang | 1 |
8 keys in total |
- please refer to TOSHIBA_AC_setting_manual
time | speaker | topic | readings slides |
---|---|---|---|
2023-01-27 | Ming Li | Learning in the Frequency Domain | link |
? | ? | ? | ? |