JIT x Free-Threading
還沒有人認領這個 Issue。
- 主要語言
- Python
- 星號
- 77.2k
- 分支
- 36k
- PR 合併指標
- PR 指標待擷取
描述
Feature or enhancement
Proposal:
This provides an alternative design to https://github.com/python/cpython/issues/133171. I have a branch where all tests (including FT) pass.
Part 1:
For the first and simplest part, we could add a watcher/callback to thread creation. When multiple threads are created, we simply invalidate the executor as _CHECK_VALIDITY fails.
This means single threaded code gets all the benefits of JIT in the future, while multi-threaded code will lose all the benefits. However, both can coexist at the same time in the same build. We will finally get JIT + FT in a limited form. Pending part 2.
Part 2:
If we detect multiple threads are running, we turn off the non-thread safe optimizations, and redo the trace with those optimizations off. If we detect only a single thread, we follow part 1 and run till we get invalidated. This allows single threaded code to run faster, while multi-threaded code will run a little slower. Note that all optimizations I've proposed for the JIT in the past 6 months and in the future are FT safe (in theory. whether they are implemented in practice is different).
Together, part 1 and part 2 get the best of both worlds: for single-threaded code, we get max performance, even recovering some of the perf single-threaded perf lost from FT. In part 2, we get max compatibility with multiple threads.
We need both parts to get the max perf out of the JIT on FT.
Follow-up after this:
- Lock/unlock removal in FT code.
Has this already been discussed elsewhere?
No response given
Links to previous discussion of this feature:
https://github.com/python/cpython/issues/133171
Linked PRs
- gh-141595
貢獻指南
從這裡開始
- 先讀完整個 Issue,再讀專案的貢獻指南。
- 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
- Fork 儲存庫,在一個分支上完成修改。
- 送出 Pull Request,並在描述裡引用這個 Issue 編號。
研究方向
先閱讀 issue 133171 中連結的討論,以及 PR 141595 中的相關工作。這項提案沒有指定檔案或測試;要完成它,需要就 JIT 和 free-threading 兩個部分達成共識並加以實作,接著執行完整的測試套件,包括 free-threading 測試。
由索引模型根據 Issue 內容生成。
評估
- 技術堆疊
- python
- 領域
- compilers, performance
- Issue 類型
- 功能
- 難度
- 5/5
- 預估耗時
- 一週以上
- 活躍度
- 停滯
- 描述清晰度
- 需要釐清
- 新手友好度
- 20/100