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GH-89480: Document motivation, design and implementation of 3.11 frame stack. #32304
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Misc/NEWS.d/next/Core and Builtins/2022-04-04-15-12-38.bpo-45317.UDLOt8.rst
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| Add internal documentation explaining design of new (for 3.11) frame stack. |
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| # The Frame Stack | ||
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| Each call to a Python function has an activation record, | ||
| commonly known as a "frame". | ||
| Python semantics allows frames to outlive the activation, | ||
| so they have (before 3.11) been allocated on the heap. | ||
| This is expensive as it requires many allocations and | ||
| results in poor locality of reference. | ||
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| In 3.11, rather than have these frames scattered about memory, | ||
| as happens for heap-allocated objects, frames are allocated | ||
| contiguously in a per-thread stack. | ||
| This improves performance significantly for two reasons: | ||
| * It reduces allocation overhead to a pointer comparison and increment. | ||
| * Stack allocated data has the best possible locality and will always be in | ||
| CPU cache. | ||
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| Generator and coroutines still need heap allocated activation records, but | ||
| can be linked into the per-thread stack so as to not impact performance too much. | ||
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| ## Layout | ||
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| Each activation record consists of four conceptual sections: | ||
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| * Local variables (including arguments, cells and free variables) | ||
| * Evaluation stack | ||
| * Specials: The per-frame object references needed by the VM: globals dict, | ||
| code object, etc. | ||
| * Linkage: Pointer to the previous activation record, stack depth, etc. | ||
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| ### Layout | ||
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| The specials and linkage sections are a fixed size, so are grouped together. | ||
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| Each activation record is laid out as: | ||
| * Specials and linkage | ||
| * Locals | ||
| * Stack | ||
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| This seems to provide the best performance without excessive complexity. | ||
| It needs the interpreter to hold two pointers, a frame pointer and a stack pointer. | ||
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| #### Alternative layout | ||
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| An alternative layout that was used for part of 3.11 alpha was: | ||
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| * Locals | ||
| * Specials and linkage | ||
| * Stack | ||
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| This has the advantage that no copying is required when making a call, | ||
| as the arguments on the stack are (usually) already in the correct | ||
| location for the parameters. However, it requires the VM to maintain | ||
| an extra pointer for the locals, which can hurt performance. | ||
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| A variant that only needs the need two pointers is to reverse the numbering | ||
| of the locals, so that the last one is numbered `0`, and the first in memory | ||
| is numbered `N-1`. | ||
| This allows the locals, specials and linkage to accessed from the frame pointer. | ||
| We may implement this in the future. | ||
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| #### Note: | ||
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| > In a contiguous stack, we would need to save one fewer registers, as the | ||
| > top of the caller's activation record would be the same at the base of the | ||
| > callee's. However, since some activation records are kept on the heap we | ||
| > cannot do this. | ||
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| ### Generators and Coroutines | ||
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| Generators and coroutines contain a `_PyInterpreterFrame` | ||
| The specials sections contains the following pointers: | ||
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| * Globals dict | ||
| * Builtins dict | ||
| * Locals dict (not the "fast" locals, but the locals for eval and class creation) | ||
| * Code object | ||
| * Heap allocated `PyFrameObject` for this activation record, if any. | ||
| * The function. | ||
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| The pointer to the function is not strictly required, but it is cheaper to | ||
| store a strong reference to the function and borrowed references to the globals | ||
| and builtins, that strong references to both globals and builtins. | ||
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| ### Frame objects | ||
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| When creating a backtrace or when calling `sys._getframe()` the frame becomes | ||
| visible to Python code. When this happens a new `PyFrameObject` is created | ||
| and a strong reference to it placed in the `frame_obj` field of the specials | ||
| section. The `frame_obj` field is initially `NULL`. | ||
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| The `PyFrameObject` may outlive a stack-allocated `_PyInterpreterFrame`. | ||
| If it does then `_PyInterpreterFrame` is copied into the `PyFrameObject`, | ||
| except the evaluation stack which must be empty at this point. | ||
| The linkage section is updated to reflect the new location of the frame. | ||
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| This mechanism provides the appearance of persistent, heap-allocated | ||
| frames for each activation, but with low runtime overhead. | ||
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| ### Generators and Coroutines | ||
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| Generator objects have a `_PyInterpreterFrame` embedded in them. | ||
| This means that creating a generator requires only a single allocation, | ||
| reducing allocation overhead and improving locality of reference. | ||
| The embedded frame is linked into the per-thread frame when iterated or | ||
| awaited. | ||
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| If a frame object associated with a generator outlives the generator, then | ||
| the embedded `_PyInterpreterFrame` is copied into the frame object. | ||
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| All the above applies to coroutines and async generators as well. | ||
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| ### Field names | ||
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| Many of the fields in `_PyInterpreterFrame` were copied from the 3.10 `PyFrameObject`. | ||
| Thus, some of the field names may be a bit misleading. | ||
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| For example the `f_globals` field has a `f_` prefix implying it belongs to the | ||
| `PyFrameObject` struct, although it belongs to the `_PyInterpreterFrame` struct. | ||
| We may rationalize this naming scheme for 3.12. | ||
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