You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
A C, C++ or Rust implementation of Scaler's scheduler will have a few performance advantages, mainly by relying on a more efficient memory management, and by avoiding unnecessary copies of objects.
Contrary to the client and the worker implementation, re-implementing the scheduler in a language different from Python is less challenging, as it's not actively interacting with Python objects.
The scheduler is also the main scalability blocking piece, which makes its efficiency more critical in making Scaler more scalable.
The text was updated successfully, but these errors were encountered:
A C, C++ or Rust implementation of Scaler's scheduler will have a few performance advantages, mainly by relying on a more efficient memory management, and by avoiding unnecessary copies of objects.
Contrary to the client and the worker implementation, re-implementing the scheduler in a language different from Python is less challenging, as it's not actively interacting with Python objects.
The scheduler is also the main scalability blocking piece, which makes its efficiency more critical in making Scaler more scalable.
The text was updated successfully, but these errors were encountered: