distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Memory prioritization on workers
- Testing network performance
- Respect priority in earliest start time heuristic
- [Idea/Draft/Proposal] Exception handling for server exceptions
- Documentation on best practices configuration for large numbers of workers
- Add hierarchy to published dashboard plots
- Set GPU ThreadPoolExecutor and set known libraries to use it
- Simplify scale API // Cluster + Adaptive class hierarchy change
- idle dask-worker & dask-scheduler have elevated CPU utilization
- Are reference cycles a performance problem?
- Docs
- Python not yet supported