Tier 2 abstract interpreter for the optimizer #107557
Labels
interpreter-core
(Objects, Python, Grammar, and Parser dirs)
performance
Performance or resource usage
type-feature
A feature request or enhancement
Feature or enhancement
(Mega issue) Start doing optimization passes on tier 2 bytecode.
Pitch
The target of tier 2 optimizations is tier 2 bytecode. Abstract interpretation is a natural way to analyze and optimize tier 2 bytecode. We can generate the abstract interpreter from the bytecode DSL
Previous discussion
See faster-cpython/ideas#611
Todo list:
static
comes fromLOAD_CONST
. Assume everything else isdynamic
.The initial partial evaluation will be bad because it does not have that much
static
information (we need watchers for methods, functions, global, etc., to make them effectively static). However, that phase can be done in the region formation step before partial evaluation. Someone else can pick them up as a parallel workstream.Linked PRs
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