How to use multithreading to speed up KL calculations？

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Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
30/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
jupyter-notebook
Domain
machine-learning, performance

Research direction

The issue identifies KL calculation as the slow entry point but names no file, test, or implementation location. Start by locating the KL calculation and profiling its threading behavior; done would require a concrete, validated way to use more than one thread and evidence that the calculation is faster.

Written by the indexing model from the issue text.

Description

I found that when I was doing KL calculation, only one thread was calculating, which is currently taking up a lot of my time. How can I solve this problem?

Dominant language
Jupyter Notebook
Stars
568
Forks
74
Avg merge
20h 2m
Merged PRs (30d)
1

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  4. Open a pull request that references the issue number.

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