Showing 5 open source projects for "low level format"

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  • 1
    ALCHA

    ALCHA

    A New Programming Language for FPGA Projects

    ALCHA aims to reduce FPGA project develop time by means of automation and abstraction, but without loosing the low-level control that HDLs, such as Verilog, provides. It will support an object oriented programming model, abstract data and signal types, and compile-time scripting.
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  • 2
    ObjectBuilder2

    ObjectBuilder2

    C++ CASE tool, full life cycle code generator

    ObjectBuilder is a C++ code generation CASE tool (CASE, code generation, refactoring, documentation generation). It lets you create, manipulate and navigate classes, class relations, class members and class methods at a high level of abstraction. ObjectBuilder dramatically simplify work with C++ project architecture. I use it and think that tree OO interface targeted to C++ more fast and power than UML class diagrams. ObjectBuilder perfectly organize C++ header files with any level of...
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  • 3

    Ionflux Tools

    Metaprogramming framework for C++ development with Python bindings

    ...You can find the current version at https://github.com/TehFlux/iftools iftools is an umbrella project for various libraries and utilities that facilitate application development in C++ with full Python bindings. It provides a rich set of features while still maintaining compatibility with other frameworks through a very low overhead and a lack of "tricks". iftools uses its own, easily extensible template system to provide a rich set of metaprogramming techniques for implementing features above the class level.
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  • 4
    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.
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  • 5
    LLVM is a unique compiler infrastructure designed for the optimization of programs from arbitrary programming languages. Compilation in C and C++ programs is supported using a parser based on GCC 3.4. Backends exist for X86, Sparc, PowerPC and "C".
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