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  2. Copy-and-patch - Wikipedia

    en.wikipedia.org/wiki/Copy-and-patch

    In computing, copy-and-patch compilation is a simple compiler technique intended for just-in-time compilation (JIT compilation) that uses pattern matching to match pre-generated templates to parts of an abstract syntax tree (AST) or bytecode stream, and emit corresponding pre-written machine code fragments that are then patched to insert memory addresses, register addresses, constants and ...

  3. Just-in-time compilation - Wikipedia

    en.wikipedia.org/wiki/Just-in-time_compilation

    JIT causes a slight to noticeable delay in the initial execution of an application, due to the time taken to load and compile the input code. Sometimes this delay is called "startup time delay" or "warm-up time". In general, the more optimization JIT performs, the better the code it will generate, but the initial delay will also increase.

  4. GraalVM - Wikipedia

    en.wikipedia.org/wiki/GraalVM

    The GraalVM compiler, Graal, is a modern Java (JIT) compiler. It complements or replaces the existing compilers (C1/C2 in HotSpot). In contrast to those existing compilers, Graal is written in a modular, maintainable and extendable fashion in Java itself. It is released under GPL version 2 with the classpath exception.

  5. Tracing just-in-time compilation - Wikipedia

    en.wikipedia.org/wiki/Tracing_just-in-time...

    A tracing JIT compiler goes through various phases at runtime. First, profiling information for loops is collected. After a hot loop has been identified, a special tracing phase is entered, which records all executed operations of that loop. This sequence of operations is called a trace. The trace is then optimized and compiled to machine code.

  6. Ahead-of-time compilation - Wikipedia

    en.wikipedia.org/wiki/Ahead-of-time_compilation

    In contrast, AOT usually cannot perform some optimizations possible in JIT like runtime profile-guided optimization (PGO), pseudo-constant propagation, or indirect-virtual function inlining. AOT must compile to a target architecture while a JIT can compile the code to make the best use of the actual CPU it is running on, even years after the ...

  7. LuaJIT - Wikipedia

    en.wikipedia.org/wiki/LuaJIT

    LuaJIT uses two types of internal representation. A stack-based bytecode is used for the interpreter, and a static single-assignment form is used for the just-in-time compiler. The interpreter bytecode is frequently patched by the JIT compiler, often to begin executing a compiled trace or to mark a segment of bytecode for causing too many trace ...

  8. Numba - Wikipedia

    en.wikipedia.org/wiki/Numba

    Numba is an open-source JIT compiler that translates a subset of Python and NumPy into fast machine code using LLVM, via the llvmlite Python package.It offers a range of options for parallelising Python code for CPUs and GPUs, often with only minor code changes.

  9. OpenJ9 - Wikipedia

    en.wikipedia.org/wiki/OpenJ9

    The Just-In-Time (JIT) improves the performance of Java applications by compiling platform-neutral Java bytecode into native machine code at run time. Not every method that gets called by an application is compiled. Instead, OpenJ9 records the number of times a method is called and triggers JIT compilation at a predefined threshold.