Skip to content
GitLab
  • Explore
  • Sign in
  • EDA Guides
  • eda-servers-guide
  • Wiki
  • remote code

remote code · Changes

Page history
Update remote code authored May 07, 2021 by Daniele Jahier Pagliari's avatar Daniele Jahier Pagliari
Hide whitespace changes
Inline Side-by-side
remote-code.md
View page @ bb1638d6
...@@ -57,7 +57,11 @@ The figure below shows an example where a local project found in `~/Documents/co ...@@ -57,7 +57,11 @@ The figure below shows an example where a local project found in `~/Documents/co
**IMPORTANT:** the Python virtualenv does *not* need to be in the same folder as your project. In fact, in many cases it could be better to have them in separate folders, for the reasons explained below. For instance, on `icaro.polito.it`, it may be convenient to have your virtualenv in `/home` and your project in `/space` **IMPORTANT:** the Python virtualenv does *not* need to be in the same folder as your project. In fact, in many cases it could be better to have them in separate folders, for the reasons explained below. For instance, on `icaro.polito.it`, it may be convenient to have your virtualenv in `/home` and your project in `/space`
Lastly, click "Finish" on the dialog shown in Figure 2 to complete the setup of your remote interpreter. #### Finish the Interpreter Setup
Lastly, click "Finish" on the dialog shown in Figure 2 to complete the setup of your remote interpreter. You can now run (and debug) your Python code running on the server directly from your local machine, without the need of a permanent GUI session.
Notice that remote execution is interrupted if you lose your internet connection to the server. So, for long-running programs, a permanent shell could still be necessary (see ["Connecting to the Servers"](/connection)). However, this mechanism is very convenient for development, short tests, debugging, etc.
#### Accessing Remote Files #### Accessing Remote Files
......
Clone repository
Home

Servers Information
Accounts
Connecting to the Servers
Storage Management and Quotas
Monitoring Resources
Software, Libraries and Data
  • Using Custom Software
  • Software Modules on Philae
  • Remote Code Deployment
  • Python Virtual Environments
  • EDA Technology Libraries
  • Shared Datasets
Miscellaneous Settings
  • Setting CUDA Drivers
  • Choosing which GPU to Use
  • Limiting GPU Memory
  • Limiting CPU Threads
Gitlab

Sidebar