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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 ...
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.
The Native Image Generator, or simply NGen, is the ahead-of-time compilation (AOT) service of the .NET Framework. It allows a CLI assembly to be pre-compiled instead of letting the Common Language Runtime (CLR) do a just-in-time compilation (JIT) at runtime. In some cases the execution will be significantly faster than with JIT.
Whereas method-based JIT compilers translate one method at a time to machine code, tracing JITs use frequently executed loops as their unit of compilation. Tracing JITs are based on the assumptions that programs spend most of their time in some loops of the program ("hot loops") and subsequent loop iterations often take similar paths.
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 ...
Ahead of Time (AOT) compilation is a mechanism for improving start up performance. Methods are dynamically compiled into AOT code at runtime, which enables the JVM to start an application faster. AOT is enabled automatically when class data sharing is used (-Xshareclasses) and doesn't require any special tuning. OpenJ9 automatically chooses ...
In computer science, dynamic recompilation is a feature of some emulators and virtual machines, where the system may recompile some part of a program during execution. By compiling during execution, the system can tailor the generated code to reflect the program's run-time environment, and potentially produce more efficient code by exploiting information that is not available to a traditional ...
Machine-independent vs. machine-dependent [ edit ] Many optimizations that operate on abstract programming concepts (loops, objects, structures) are independent of the machine targeted by the compiler, but many of the most effective optimizations are those that best exploit special features of the target platform.