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Many combinations of interpretation and compilation are possible, and many modern programming language implementations include elements of both. For example, the Smalltalk programming language is conventionally implemented by compilation into bytecode, which is then either interpreted or compiled by a virtual machine. Since Smalltalk bytecode ...
In traditional compilation, the executable output of the linkers (.exe files or .dll files or a library, see picture) is typically relocatable when run under a general operating system, much like the object code modules are but with the difference that this relocation is done dynamically at run time, i.e. when the program is loaded for execution.
JIT compilation is a form of dynamic compilation, and allows adaptive optimization such as dynamic recompilation and microarchitecture-specific speedups. [nb 1] [3] Interpretation and JIT compilation are particularly suited for dynamic programming languages, as the runtime system can handle late-bound data types and enforce security guarantees.
Compiled language categorizes a programming language as used with a compiler and generally implies not used with an interpreter.But, since any language can theoretically be compiled or interpreted the term lacks clarity.
This stage of the computing process is known as compilation. Utilizing a compiler leads to separation in the translation and execution process. After compilation, the new object code is saved separately from the source code resulting in the source code no longer being required for the execution process.
Java bytecode is used at runtime either interpreted by a JVM or compiled to machine code via just-in-time (JIT) compilation and run as a native application. As Java bytecode is designed for a cross-platform compatibility and security, a Java bytecode application tends to run consistently across various hardware and software configurations. [3]
Compilation, interpretation, and execution The invention of high-level programming languages was simultaneous with the compilers needed to translate them automatically into machine code. [ 58 ] Most programs do not contain all the resources needed to run them and rely on external libraries .
Adaptive optimizing is a method in computer science that performs dynamic recompilation of parts of a program based on the current execution profile. With a simple implementation, an adaptive optimizer may simply make a trade-off between just-in-time compiling and interpreting instructions.