distributed 2021.10.0

There are no 'move' operations. A move is performed in two passes: first you create a copy and, in the next iteration, you delete the original (if the copy succeeded).

This extension is configured by the dask config section distributed.scheduler.active-memory-manager .

Scheduler extension that optimizes memory usage across the cluster. It can be either triggered by hand or automatically every few seconds; at every iteration it performs one or both of the following:

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


File: /distributed/active_memory_manager.py#19
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