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

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Tracing JIT compilers Assumptions for building Tracing JITs ◮ programs spend most of their time in loops ◮ several iterations (of one loop) take similar code paths
Tracing JIT compilers What should be traced? ◮ only generate machine code for hot code paths of commonly executed loops ◮ interpret the rest
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: Tracing JIT compilers ◮ initially
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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