[Bugfix] Remove small array reuse condition in shared memory allocation merging #654
Conversation
…tion merging - Eliminated the condition that disabled the reuse of small arrays (const_nbits <= 32) in the `MergeSharedMemoryAllocations` function, allowing for more flexible memory management. - Added a comment in `OptimizeForTarget` to clarify the order of applying `MergeSharedMemoryAllocations` after `SplitHostDevice`, ensuring correct allocation site handling in device functions.
|
👋 Hi! Thank you for contributing to the TileLang project. Please remember to run We appreciate you taking this step! Our team will review your contribution, and we look forward to your awesome work! 🚀 |
![gemini-code-assist[bot]](https://avatars.githubusercontent.com/in/956858?s=60&v=4){kind=small}
There was a problem hiding this comment.
Summary of Changes
Hello @LeiWang1999, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request implements a bugfix that enhances shared memory allocation merging by removing a restriction on small array reuse, leading to improved memory utilization. Additionally, it improves code clarity and maintainability by documenting a critical dependency between compiler passes related to memory allocation in device functions.
Highlights
- Shared Memory Allocation Optimization: The condition that previously disabled the reuse of small arrays (those with
const_nbits <= 32) within theMergeSharedMemoryAllocationsfunction has been removed. This change allows for more flexible and potentially more efficient shared memory management by enabling the merging of these smaller allocations. - Compiler Pass Order Clarification: A new comment has been added to the
OptimizeForTargetfunction intilelang/engine/phase.py. This comment clarifies that theMergeSharedMemoryAllocationspass must be applied after theSplitHostDevicepass, ensuring that merged allocation sites are correctly handled at the beginning of device functions.
Using Gemini Code Assist
The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.
Invoking Gemini
You can request assistance from Gemini at any point in your pull request via creating an issue comment (i.e. comment on the pull request page) using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands.
| Feature | Command | Description |
|---|---|---|
| Code Review | /gemini review |
Performs a code review for the current pull request in its current state. |
| Pull Request Summary | /gemini summary |
Provides a summary of the current pull request in its current state. |
| Comment | @gemini-code-assist | Responds in comments when explicitly tagged, both in issue comments and review comments. |
| Help | /gemini help |
Displays a list of available commands. |
Customization
To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.
Limitations & Feedback
Gemini Code Assist is currently in preview and may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments to provide feedback.
You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.
Footnotes
-
Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩
There was a problem hiding this comment.
Code Review
This pull request addresses a bug in shared memory allocation merging by ensuring small arrays are correctly returned to the free pool, enabling more efficient memory reuse. It also adds a helpful comment to clarify the ordering of transformation passes in the Python-based compilation pipeline. The changes are correct and improve the codebase. My main feedback is to recommend adding a regression test for the bugfix to prevent future regressions.
…tion merging (tile-ai#654) - Eliminated the condition that disabled the reuse of small arrays (const_nbits <= 32) in the `MergeSharedMemoryAllocations` function, allowing for more flexible memory management. - Added a comment in `OptimizeForTarget` to clarify the order of applying `MergeSharedMemoryAllocations` after `SplitHostDevice`, ensuring correct allocation site handling in device functions.
1 participant
MergeSharedMemoryAllocationsfunction, allowing for more flexible memory management.OptimizeForTargetto clarify the order of applyingMergeSharedMemoryAllocationsafterSplitHostDevice, ensuring correct allocation site handling in device functions.