PyPy是一种限制于静态类型化的Python语言子集（称为RPython）的一种Python解释器实现。这种解释器包含JIT即时编译特性，并且支持多种后端（C, CLI, JVM）。PyPy aims for maximum compatibility with the reference CPython implementation while improving perfor
PyPy是一种限制于静态类型化的Python语言子集(称为RPython)的一种Python解释器实现。这种解释器包含JIT即时编译特性,并且支持多种后端(C, CLI, JVM)。 PyPy aims for maximum compatibility with the reference CPython implementation while improving performance. PyPy的目标在于CPython参考实现的最大兼容性,同时改善性能。
A lightweight JIT compiler based on MIR (Medium Internal Representation) and C11 JIT compiler and interpreter based on MIR - GitHub - cyw3/mir: A lightweight JIT compiler based on MIR (Medium Internal Representation) and C11 JIT compiler and interpreter
which avoids unreasonable comlexity Some things which haven't been implemented yet, but should be kept in mind: - alignment has to be taken into account when writing entries into the constants table: unaligned access carries a performance penalty on most architectures (if it's even possible at...
第二个回答里提到「The moral of the story is that primitive data type information is really helpful to a compiler/virtual machine.」值得好好体会,其中的 primitive data type 就是指那些 in-memory storage size 固定已知的元类型…… 实际上:
A lightweight (single file:vm.c) embeddable interpreter/Virtual Machine (VM) for compiled bytecode files (.qvm) based on good old C-language input (.c). A complete C compiler to generate.qvmfiles is included (LCC). The interpreter is based on the Quake III Arena virtual machine (hence...
To compile from lua to Java bytecode for all lua loaded at runtime, install the LuaJC compiler into aglobalsobject use: org.luaj.vm2.jse.luajc.LuaJC.install(globals); This will compile all lua bytecode into Java bytecode, regardless of if they are loaded as lua source or lua binary...
org.luaj.vm2.compiler.LuaC.install(globals); Including the LuaJC lua-bytecode-to-Java-bytecode compiler To compile from lua to Java bytecode for all lua loaded at runtime, install the LuaJC compiler into a globals object use: org.luaj.vm2.jse.luajc.LuaJC.install(globals); This ...
Luaj in interpreted mode performs well for the benchmarks, and even better when the lua-to-java-bytecode (luajc) compiler is used, and actually executes faster than C-based lua in some cases. It is also faster than Java-lua implementations Jill, Kahlua, and Mochalua for all benchmarks...
To compile from lua to Java bytecode for all lua loaded at runtime, install the LuaJC compiler into a globals object use: org.luaj.vm2.jse.luajc.LuaJC.install(globals); This will compile all lua bytecode into Java bytecode, regardless of if they are loaded as lua source or lua ...