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

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Applying a Tracing JIT to an Interpreter How to Trace the User Program ◮ do not trace a single opcode, but a series of several opcodes by unrolling the bytecode dispatch loop ◮ unroll in such a way that the trace corresponds to a user loop
Applying a Tracing JIT to an Interpreter Detecting a User Loop ◮ user loops occur when the program counter of the language interpreter has the same value several times ◮ in this case the program counter is represented by the variables pc and bytecode ◮ for the jit to know which variables are the program counter the author needs to place hints ◮ the jit will add these variables to the position key ◮ this way the jit will consider the loop to be closed if these variables are the same a second time (-> user loop)
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 15: 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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