distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Documentation on best practices configuration for large numbers of workers
- Add hierarchy to published dashboard plots
- Task Group visualization doesn't scale to thousands of task groups
- [Idea] Could workers sometimes know when to release keys on their own?
- Add documentation and example for using a ProcessPoolExecutor
- Set GPU ThreadPoolExecutor and set known libraries to use it
- Simplify scale API // Cluster + Adaptive class hierarchy change
- Dask worker dashboard url found on Info page sends 403 response
- idle dask-worker & dask-scheduler have elevated CPU utilization
- Are reference cycles a performance problem?
- Docs
- Python not yet supported