distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Scheduler memory leak / large worker footprint on simple workload
- Queue and Variable assume the scheduler address is identical across workers
- Add support for port forwarding in SSHCluster
- Error using PBSCluster with multiple nodes
- worker config set by config.set is not read by worker
- Reconstructed Futures in deployed app always report pending status
- Workers created by `LocalCluster` have dashboards disabled by default
- Workers in a LocalCluster appear to stall at indeterminate time through computation
- DOC: Add usage example to SSHCluster docstring
- Removing overhead from the client (and server) by using abstract graphs
- Docs
- Python not yet supported