Tracing the Meta-Level: PyPy's Tracing JIT Compiler

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The PyPy project The Translation Process 1. control ow graph construction and type inference 2. several steps to transform the intermediate representation into nal executable: ◮ ◮ rst: make details of python object model explicit in intermediate representation later: introduce garbage collection and other low-level details
Tracing JIT compilers ◮ initially explored by the Dynamo Project ◮ same techniques were used to implement JIT compiler for JVM ◮ turn out to be a relatively easy way to implement JIT compilers for dynamic languages ◮ used for Mozilla's TraceMonkey JavaScript VM and Adobe's Tamarin ActionScript VM
Page 1 and 2: Tracing the Meta-Level: PyPy's Trac
Page 3 and 4: Introduction What We want to do ◮
Page 5: The PyPy project Advantages for wri
Page 9 and 10: Tracing JIT compilers What should b
Page 11 and 12: Tracing JIT compilers Tracing JIT P
Page 13 and 14: Applying a Tracing JIT to an Interp
Page 23 and 24: Improving the Result II ◮ if oper
Page 25 and 26: Implementation issues II ◮ on fai
Page 27 and 28: Evaluation PyPy ◮ PyPy with JIT i
Page 29 and 30: Related Work Piumarta and Riccardi
Page 31 and 32: Related Work Partial Evaluation ◮
Page 33 and 34: Related Work Dynamic Partial Evalua

Tracing the Meta-Level: PyPy's Tracing JIT Compiler

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