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This is a list of the instructions that make up the Java bytecode, an abstract machine language that is ultimately executed by the Java virtual machine. [1] The Java bytecode is generated from languages running on the Java Platform, most notably the Java programming language.
An optimizing compiler is a compiler designed to generate code that is optimized in aspects such as minimizing program execution time, memory usage, storage size, and power consumption. [1] Optimization is generally implemented as a sequence of optimizing transformations —algorithms that transform code to produce semantically equivalent code ...
In general, a Java programmer does not need to understand Java bytecode or even be aware of it. However, as suggested in the IBM developerWorks journal, "Understanding bytecode and what bytecode is likely to be generated by a Java compiler helps the Java programmer in the same way that knowledge of assembly helps the C or C++ programmer."
Since the benefits of loop unrolling are frequently dependent on the size of an array—which may often not be known until run time—JIT compilers (for example) can determine whether to invoke a "standard" loop sequence or instead generate a (relatively short) sequence of individual instructions for each element. This flexibility is one of the ...
When code generation occurs at runtime, as in just-in-time compilation (JIT), it is important that the entire process be efficient with respect to space and time. For example, when regular expressions are interpreted and used to generate code at runtime, a non-deterministic finite-state machine is often generated instead of a deterministic one, because usually the former can be created more ...
(For example, upon encountering a variable declaration, user-written code could save the name and type of the variable into an external data structure, so that these could be checked against later variable references detected by the parser.)
ROSE: an open source compiler framework to generate source-to-source analyzers and translators for C/C++ and Fortran, developed at Lawrence Livermore National Laboratory MILEPOST GCC : interactive plugin-based open-source research compiler that combines the strength of GCC and the flexibility of the common Interactive Compilation Interface that ...
A further development within LLVM is the use of Multi-Level Intermediate Representation with the potential to generate code for different heterogeneous targets, and to combine the outputs of different compilers. [6] The ILOC intermediate language [7] is used in classes on compiler design as a simple target language. [8]