Search Results for "code analysis"

The goal of this project is to provide a generator for lexical analyzers of maximum computational efficiency and maximum range of applications. This includes the support for Unicode (UTF8, UTF16, ...) and a large variety of other encodings directly and via nested converters such as ICU(tm) and IConv. Sophisticated buffer handling allows to operate on plain file streams, on sockets, or manually fed buffer content. 'Ready-to-build' examples explain related concepts and facilitate practical...

Parsers for biological data based on scanner generators like Flex (C), Re2c(C), Jflex (Java) and Ifickle (Tcl). This scanner generators are providing easier maintainance, development and higher speed than hand written scanners. Scanner output is SQL.

The SAVE-IDE is an integrated development environment for architectural and component-based design of embedded systems. Including a tool chain for analysis, verification and code generation, with focus on safety and real-time.

Comprehensive & high performance data distribution &transformation system. Features a simple, user-friendly event driven scripting interface transparently generates & execs highly efficient Perl/C code. Uses:ETL,datawarehousing,statistics,data-cleansing.

JC is a Java virtual machine implementation that converts class files into C source files using the Soot Java bytecode analysis framework, compiles them with GCC, and loads them using a built-in ELF object loader. JC uses GNU Classpath's class library.

News: since 2015 we continue all related developments within Collective Knowledge Framework: http://github.com/ctuning/ck/wiki Alchemist plugin is a collection of plugins for GCC/LLVM for external and fine-grain code analysis and tuning. It is intended to to extract program properties for machine learning based optimization (see MILEPOST GCC); optimize programs at fine-grain level (such as unrolling, tiling, prefetching, etc); tune default optimization heuristic; gradually decompose program and detect performance or other anomalies; generate benchmarks particularly useful to train ML-based compilers. ...