Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Investigate storing the working numpy array in a shared-memory object #14

Open
geowurster opened this issue Jun 2, 2015 · 0 comments
Open

Investigate storing the working numpy array in a shared-memory object #14

geowurster opened this issue Jun 2, 2015 · 0 comments
Labels
enhancement

Comments

@geowurster
Copy link
Contributor

Would reduce the RAM usage and should let users create rasters at a higher resolution. Currently a ton of virtual memory is used when rasterizing at something like 0.01 degrees and its likely that the pickled objects are just too big for multiprocessing to return.
@geowurster geowurster self-assigned this Jun 2, 2015
@geowurster geowurster modified the milestone: v0.2 Jun 2, 2015
@geowurster geowurster removed their assignment Aug 25, 2015
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
enhancement
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@geowurster