ipython / ipython/ipyparallel

Static memory used by engines

Open
#694 2 comments 0 reactions 0 assignees View on GitHub
Dominant language
Jupyter Notebook
Stars
2.6k
Forks
1k
PR merge metrics
No merged PRs in 30d

Description

It seems like the engines use a lot of "static" memory, i.e. when we start the engines, they take up noticeable memory even when nothing has been executed. In our testing, we started 16 engines across 2 nodes, and as soon as we did, the memory usage on each node went from ~150MB to ~1.2GB, i.e. it seems like 8 engines consume ~1.05GB static memory. This is of course both the engine and nanny process, but based on `htop` , almost all of it seems to come from the engine process. ~134MB static memory usage per engine seems a bit high. Is there a way we could reduce this?

Contributor guide

Open the contributing guide

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.