Showing 12 open source projects for "prom-framework"

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    Code::Blocks

    Code::Blocks

    A free C, C++ and Fortran IDE

    ...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. Any kind of functionality can be added by installing/coding a plugin. For instance, compiling and debugging functionality is already provided by plugins! We hope you enjoy using Code::Blocks! The Code::Blocks Team
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    Downloads: 76,015 This Week
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  • 2

    epics-sequencer-HZB

    The EPICS SNL Compiler and Sequencer

    The Sequencer implements a language for programming state machines with the EPICS framework. EPICS is developed collaboratively and used worldwide to create distributed soft real-time control systems for large scale scientific instruments. SNL borrows most contructs from the C programing language and adds some new statements for defining states and conditions for transitions between states.
    Downloads: 1 This Week
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  • 3
    OpenHCPP

    OpenHCPP

    A Directive-Based Heterogeneous Parallel Programming Framework

    OpenHCPP is a high-level directive-based parallel programming framework.
    Downloads: 0 This Week
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  • 4
    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.
    Downloads: 0 This Week
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  • 5
    Kiwi Engine is framework contains intermediate representation & executor to implement interprete. It is designed for Mac OS X.
    Downloads: 0 This Week
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  • 6
    HIPAcc

    HIPAcc

    Heterogeneous Image Processing Acceleration (HIPACC) Framework

    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.
    Downloads: 0 This Week
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  • 7
    Snack combines a high-level object oriented language (think JavaScript) with a bytecode execution engine. An example air traffic control game (a port of the classic ATC) and a text adventure framework are included.
    Downloads: 0 This Week
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  • 8
    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.
    Downloads: 0 This Week
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  • 9
    The Gobj system, a revolutionizing object-oriented application framework and programming language which provides a simple, completely new way to interact with your computer and the world around.
    Downloads: 0 This Week
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  • 10
    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.
    Downloads: 0 This Week
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  • 11
    CQSAT is a powerful, comprehensive and extensible framework for static analysis of program source code and detection of software defects.
    Downloads: 0 This Week
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  • 12

    Alchemist plugin

    Alchemist GCC/LLVM plugin for code analysis and tuning

    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. ...
    Downloads: 0 This Week
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