How do I configure Dask workers for optimal performance?

How do I configure Dask workers for optimal performance?

To configure Dask workers for optimal performance, you should consider the number of workers, memory limits, and the type of scheduler you are using.

What are the best practices for setting memory limits on Dask workers?

Best practices include setting memory limits based on the available resources of your machine and the workload requirements. A common approach is to allocate about 70-80% of the total memory to Dask workers.

Can I use different configurations for different tasks?

Yes, you can use different configurations for different tasks by creating separate Dask clusters or adjusting the worker settings dynamically based on the task requirements.

What should I do if my Dask workers are crashing?

If your Dask workers are crashing, check the logs for errors, ensure that memory limits are not exceeded, and consider scaling your cluster or optimizing your tasks.