PennyLaneAI / PennyLaneAI/catalyst

Possible optimization opportunity

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enhancement frontend
Dominant language
Python
Stars
234
Forks
84
Avg merge
2d 15h
Merged PRs (30d)
66

Description

Parse time increases with the number of instructions in the IR. There are some operations in the IR that could be cached. Instead of generating the same operation twice, just use the result of its value where appropriate. The functions safe_cast and extract_scalar in jax_primitives.py may be cached if they are used within the same function. It is unclear how valuable this caching may be since applying cse in MLIR should get rid of these. However, if there are many operations that can be cse'd directly generated by the MLIR code-gen in Python, it may be advantageous to cache these.

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Research direction

Start in jax_primitives.py by reading safe_cast and extract_scalar and tracing their call sites within a single function. Measure parse time and inspect whether repeated operations are already removed by MLIR CSE; done means establishing whether caching provides a meaningful benefit and defining the affected scope.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
compilers, performance
Issue type
Refactor
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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