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(For more information on compiler design, see Compiler.) The input to the code generator typically consists of a parse tree or an abstract syntax tree. [1] The tree is converted into a linear sequence of instructions, usually in an intermediate language such as three-address code. Further stages of compilation may or may not be referred to as ...
It can generate random C programs that statically and dynamically conform to the C99 standard. It is used for stress-testing compilers, static analyzers, and other tools that process C code. It is a free, open source, permissively licensed C compiler fuzzer developed by researchers at the University of Utah.
In computing, code generation denotes software techniques or systems that generate program code which may then be used independently of the generator system in a runtime environment. Specific articles: Code generation (compiler), a mechanism to produce the executable form of computer programs, such as machine code, in some automatic manner
Code review software – Activity where one or more people check a program's code; Compiler – Computer program which translates code from one programming language to another; Compiler-compiler – Program that generates parsers or compilers, a.k.a. parser generator; Debugger – Computer program used to test and debug other programs
The Simplified Wrapper and Interface Generator (SWIG) is an open-source software tool used to connect computer programs or libraries written in C or C++ with scripting languages such as Lua, Perl, PHP, Python, R, Ruby, Tcl, and other language implementations like C#, Java, JavaScript, Go, D, OCaml, Octave, Scilab and Scheme.
In computer science, a compiler-compiler or compiler generator is a programming tool that creates a parser, interpreter, or compiler from some form of formal description of a programming language and machine. The most common type of compiler-compiler is called a parser generator. [1] It handles only syntactic analysis.
LLVM can accept the IR from the GNU Compiler Collection (GCC) toolchain, allowing it to be used with a wide array of extant compiler front-ends written for that project. LLVM can also be built with gcc after version 7.5. [37] LLVM can also generate relocatable machine code at compile-time or link-time or even binary machine code at runtime.
This code confounds many of the transformation systems of the 20th century, due to the need to optimize an imperfect loop nest. Polyhedral frameworks can analyze the flow of information among different executions of statements in the loop nest, and transform this code to simultaneously exploit scalable parallelism and scalable locality.