`_remote_debugging`: `RemoteUnwinder(..., jit=True)`
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描述
Feature or enhancement
Proposal:
:)
The idea here is to expose JIT internals a bit more in the Tachyon profiler.
The questions that could be answered trivially:
- Is JIT actually used? How often?
- Which executor is hot?
- What change made the largest difference (
diff_flamegraph), in terms of % spent in JIT? Per line?
A bit harder:
- Which UOPs actually eat time?
- Which stensils are good?
- What guards or deopts are bad?
- What is the trace shape?
The very minimal change that I'm thinking about here is just adding --jit flag (active for --jsonl and maybe for --live but it's a catnip), and adding JitInfo to ThreadInfo.
That's how it could look:
JitInfo(
executor_id,
flags
)
This will requires extending debug offsets, obviously.
We could potentially expose native_pc, native_offset, uop_index, exit_index etc. The question would be how to expose metadata for it without balooning JitInfo, and how far we can get without blocking and native unwinding. :)
I'm pretty much open to any other ideas.
There will be definitely some performance impact (more VM reads), but hidden behind the --enable-experimental-jit flag should be bearable, and we could be more playful, going back and forth.
If you think it makes sense, I'd be willing to take a shot, but this will take multiple PRs.
Has this already been discussed elsewhere?
No response given
Links to previous discussion of this feature:
No response
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研究方向
先追蹤 _remote_debugging、RemoteUnwinder(..., jit=True) 以及現有的 ThreadInfo 流程。比較針對 --jsonl 以及可能的 --live 所提議的 --jit 行為,接著檢查偵錯偏移量的處理方式。完成的要求是確定在 --enable-experimental-jit 後面公開 JitInfo 及其 metadata 的範圍,同時考量效能影響。
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評估
- 技術堆疊
- python
- 領域
- devtools, performance
- Issue 類型
- 功能
- 難度
- 5/5
- 預估耗時
- 一週以上
- 活躍度
- 冷清
- 描述清晰度
- 需要釐清
- 新手友好度
- 25/100