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GH-112354: Initial implementation of warm up on exits and trace-stitching (GH-114142)
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Python/tier2_engine.md
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# The tier 2 execution engine
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## General idea
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When execution in tier 1 becomes "hot", that is the counter for that point in
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the code reaches some threshold, we create an executor and execute that
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instead of the tier 1 bytecode.
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Since each executor must exit, we also track the "hotness" of those
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exits and attach new executors to those exits.
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As the program executes, and the hot parts of the program get optimized,
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a graph of executors forms.
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## Superblocks and Executors
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Once a point in the code has become hot enough, we want to optimize it.
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Starting from that point we project the likely path of execution,
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using information gathered by tier 1 to guide that projection to
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form a "superblock", a mostly linear sequence of micro-ops.
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Although mostly linear, it may include a single loop.
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We then optimize this superblock to form an optimized superblock,
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which is equivalent but more efficient.
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A superblock is a representation of the code we want to execute,
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but it is not in executable form.
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The executable form is known as an executor.
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Executors are semantically equivalent to the superblock they are
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created from, but are in a form that can be efficiently executable.
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There are two execution engines for executors, and two types of executors:
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* The hardware which runs machine code executors created by the JIT compiler.
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* The tier 2 interpreter runs bytecode executors.
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It would be very wasteful to support both a tier 2 interpreter and
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JIT compiler in the same process.
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For now, we will make the choice of engine a configuration option,
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but we could make it a command line option in the future if that would prove useful.
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### Tier 2 Interpreter
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For platforms without a JIT and for testing, we need an interpreter
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for executors. It is similar in design to the tier 1 interpreter, but has a
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different instruction set, and does not adapt.
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### JIT compiler
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The JIT compiler converts superblocks into machine code executors.
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These have identical behavior to interpreted executors, except that
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they consume more memory for the generated machine code and are a lot faster.
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## Transfering control
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There are three types of control transfer that we need to consider:
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* Tier 1 to tier 2
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* Tier 2 to tier 1
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* One executor to another within tier 2
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Since we expect the graph of executors to span most of the hot
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part of the program, transfers from one executor to another should
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be the most common.
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Therefore, we want to make those transfers fast.
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### Tier 2 to tier 2
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#### Cold exits
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All side exits start cold and most stay cold, but a few become
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hot. We want to keep the memory consumption small for the many
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cold exits, but those that become hot need to be fast.
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However we cannot know in advance, which will be which.
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So that tier 2 to tier 2 transfers are fast for hot exits,
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exits must be implemented as executors. In order to patch
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executor exits when they get hot, a pointer to the current
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executor must be passed to the exit executor.
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#### Handling reference counts
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There must be an implicit reference to the currently executing
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executor, otherwise it might be freed.
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Consequently, we must increment the reference count of an
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executor just before executing it, and decrement it just after
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executing it.
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We want to minimize the amount of data that is passed from
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one executor to the next. In the JIT, this reduces the number
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of arguments in the tailcall, freeing up registers for other uses.
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It is less important in the interpreter, but following the same
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design as the JIT simplifies debugging and is good for performance.
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Provided that we incref the new executor before executing it, we
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can jump directly to the code of the executor, without needing
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to pass a reference to that executor object.
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However, we do need a reference to the previous executor,
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so that it can be decref'd and for handling of cold exits.
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To avoid messing up the JIT's register allocation, we pass a
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reference to the previous executor in the thread state's
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`previous_executor` field.
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#### The interpreter
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The tier 2 interpreter has a variable `current_executor` which
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points to the currently live executor. When transfering from executor
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`A` to executor `B` we do the following:
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(Initially `current_executor` points to `A`, and the refcount of
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`A` is elevated by one)
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1. Set the instruction pointer to start at the beginning of `B`
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2. Increment the reference count of `B`
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3. Start executing `B`
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We also make the first instruction in `B` do the following:
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1. Set `current_executor` to point to `B`
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2. Decrement the reference count of `A` (`A` is referenced by `tstate->previous_executor`)
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The net effect of the above is to safely decrement the refcount of `A`,
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increment the refcount of `B` and set `current_executor` to point to `B`.
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#### In the JIT
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Transfering control from one executor to another is done via tailcalls.
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The compiled executor should do the same, except that there is no local
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variable `current_executor`.
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### Tier 1 to tier 2
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Since the executor doesn't know if the previous code was tier 1 or tier 2,
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we need to make a transfer from tier 1 to tier 2 look like a tier 2 to tier 2
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transfer to the executor.
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We can then perform a tier 1 to tier 2 transfer by setting `current_executor`
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to `None`, and then performing a tier 2 to tier 2 transfer as above.
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### Tier 2 to tier 1
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Each micro-op that might exit to tier 1 contains a `target` value,
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which is the offset of the tier 1 instruction to exit to in the
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current code object.
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## Counters
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TO DO.
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The implementation will change soon, so there is no point in
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documenting it until then.
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