Trace-based JIT compilers identify frequently executed program paths at run-time and subsequently record, compile and optimize their execution. In order to improve the performance of the generated machine instructions, JIT compilers heavily rely on dynamic analysis of the code. Existing work treats the components of a JIT compiler as a monolithic whole, tied to particular execution semantics. We propose a formal framework that facilitates the design and implementation of a tracing JIT compiler and its accompanying dynamic analyses by decoupling the tracing, optimization, and interpretation processes. This results in a framework that is more configurable and extensible than existing formal tracing models. We formalize the tracer and interpre...
International audienceModern Just-in-Time compilers (or JITs) typically interleave several mechanism...
Tracing and partial evaluation have been proposed as meta-compilation techniques for interpreters to...
The implementation of new programming languages benefits from interpretation because it is simple, ...
Trace-based JIT compilers identify frequently executed pro-gram paths at run-time and subsequently r...
Just-in-time compilation has proven an effective, though effort-intensive, choice for realizing perf...
Tracing just-in-time compilation is a popular compilation technique for the efficient implementation...
We attempt to apply the technique of Tracing JIT Com-pilers in the context of the PyPy project, i.e....
Tracing just-in-time compilation is a popular compilation schema for the efficient implementation of...
Tracing JIT compilation generates units of compilation that are easy to analyse and are known to exe...
We present Pycket, a high-performance tracing JIT compiler for Racket. Pycket supports a wide variet...
Tracing JIT compilation generates units of compilation that are easy to analyse and are known to exe...
We have modified the Erlang runtime to add support for a tracing just-in-time (JIT) compiler, simila...
Tracing JIT compilation generates units of compilation that are easy to analyse and are known to ex...
This document presents our main contributions to the field of compilation, and more generally to the...
AbstractMethod inlining is one of the most important optimizations in method-based just-in-time (JIT...
International audienceModern Just-in-Time compilers (or JITs) typically interleave several mechanism...
Tracing and partial evaluation have been proposed as meta-compilation techniques for interpreters to...
The implementation of new programming languages benefits from interpretation because it is simple, ...
Trace-based JIT compilers identify frequently executed pro-gram paths at run-time and subsequently r...
Just-in-time compilation has proven an effective, though effort-intensive, choice for realizing perf...
Tracing just-in-time compilation is a popular compilation technique for the efficient implementation...
We attempt to apply the technique of Tracing JIT Com-pilers in the context of the PyPy project, i.e....
Tracing just-in-time compilation is a popular compilation schema for the efficient implementation of...
Tracing JIT compilation generates units of compilation that are easy to analyse and are known to exe...
We present Pycket, a high-performance tracing JIT compiler for Racket. Pycket supports a wide variet...
Tracing JIT compilation generates units of compilation that are easy to analyse and are known to exe...
We have modified the Erlang runtime to add support for a tracing just-in-time (JIT) compiler, simila...
Tracing JIT compilation generates units of compilation that are easy to analyse and are known to ex...
This document presents our main contributions to the field of compilation, and more generally to the...
AbstractMethod inlining is one of the most important optimizations in method-based just-in-time (JIT...
International audienceModern Just-in-Time compilers (or JITs) typically interleave several mechanism...
Tracing and partial evaluation have been proposed as meta-compilation techniques for interpreters to...
The implementation of new programming languages benefits from interpretation because it is simple, ...