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

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Related Work DynamoRio ◮ applying a trace-based optimizer to an interpreter ◮ adding hints helping <strong>the</strong> tracer produce better results ◮ same unrolling as in this paper ◮ however: tracing on machine code level ◮ ◮ ◮ no high-level information need much more hints advanced optimization techniques not possible
Related Work Piumarta and Riccardi ◮ copy fragments of commonly occuring bytecode sequences toge<strong>the</strong>r ◮ reduces dispatch overhead ◮ problem: dispatching still needed to jump between those fragments and for non-copyable bytecodes
Page 1 and 2: Tracing the Meta-Level: PyPy's Trac
Page 3 and 4: Introduction What We want to do ◮
Page 5 and 6: The PyPy project Advantages for wri
Page 7 and 8: Tracing JIT compilers ◮ initially
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: Evaluation PyPy ◮ PyPy with JIT i
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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