Search Results for "code framework"

Code::Blocks is a free, open-source, cross-platform C, C++ and Fortran IDE built to meet the most demanding needs of its users. It is designed to be very extensible and fully configurable. Finally, an IDE with all the features you need, having a consistent look, feel and operation across platforms. Built around a plugin framework, Code::Blocks can be extended with plugins.

OpenHCPP is a high-level directive-based parallel programming framework.

Intermediate Language Distributed Just-In-Time (ILDJIT) is a unified compilation framework for CIL bytecode. It is a parallel and easily extensible framework thanks to its internal structure composed by plugins.

HIPAcc development has moved to github: https://github.com/hipacc HIPAcc allows to design image processing kernels and algorithms in a domain-specific language (DSL). From this high-level description, low-level target code for GPU accelerators is generated using source-to-source translation. As back ends, the framework supports CUDA, OpenCL, and Renderscript. HIPAcc allows programmers to develop imaging applications while providing high productivity, flexibility and portability as well as competitive performance: the same algorithm description serves as basis for targeting different GPU accelerators and low-level languages.

DotGNU Portable.NET Mac OS/X framework This is a binary redistribution (for Mac OS/X) of the DotGNU Portable.NET (pnet) project. The source code is available at www.dotgnu.org as well as binary redistributables for many other platforms.

SCOF provides a C/C++ toolchain that is easy to build, extend, and even embed within custom applications that wish to parse and interpret source code. It's goal is to be a C/C++ framework that is modular and easy to understand from beginning to end.

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. ...

CQSAT is a powerful, comprehensive and extensible framework for static analysis of program source code and detection of software defects.