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Currently JITing is used by most implementations of the Java Virtual Machine, as HotSpot builds on, and extensively uses, this research base. The HP project Dynamo was an experimental JIT compiler where the "bytecode" format and the machine code format were the same; the system optimized PA-8000 machine code. [12]
LLVM allows code to be compiled statically, as it is under the traditional GCC system, or left for late-compiling from the IR to machine code via just-in-time compilation (JIT), similar to Java. The type system consists of basic types such as integer or floating-point numbers and five derived types : pointers , arrays , vectors , structures ...
The project's goal was to write a Java virtual machine in Java itself to avoid the problems of developing in C++, particularly manual memory management, and benefit from meta-circular optimizations. The project changed its focus to the compiler and to hook it into the HotSpot runtime as much as possible.
Although the technique originated in Smalltalk, [1] the best-known language that uses this technique is Java. Since the machine code emitted by a dynamic compiler is constructed and optimized at program runtime, the use of dynamic compilation enables optimizations for efficiency not available to statically-compiled programs (i.e. those compiled ...
Any language targeting a virtual machine or p-code machine can be considered an intermediate language: Java bytecode Microsoft's Common Intermediate Language is an intermediate language designed to be shared by all compilers for the .NET Framework , before static or dynamic compilation to machine code.
The term P-code machine is applied generically to all such machines (such as the Java virtual machine (JVM) and MATLAB pre-compiled code), as well as specific implementations using those machines. One of the most notable uses of P-Code machines is the P-Machine of the Pascal-P system.
Wasm code (binary code, i.e. bytecode) is intended to be run on a portable virtual stack machine (VM). [101] The VM is designed to be faster to parse and execute than JavaScript and to have compact code representation. [52] Any external functionality (like syscalls) that may be
Further, JIT compilers can speculatively optimize hot code by making assumptions on the code. The generated code can be deoptimized if a speculative assumption later proves wrong. Such operation slows the performance of the running software until code is optimized again by adaptive optimization. An AOT compiler cannot make such assumptions and ...