Showing 6 open source projects for "linux device drivers development"

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  • 1
    Small Device C Compiler (SDCC)

    Small Device C Compiler (SDCC)

    The Small Device C Compiler (SDCC), targeting 8-bit architectures

    SDCC is a retargettable, optimizing standard C (ANSI C89 / ISO C90, ISO C99, ISO C11 / C17, ISO C23, ISO C2y) compiler that targets a growing list of architectures: STM8, MCS-51, DS390, HC08, S08, 6502, 65C02, Z80, Z80N, Z180, Rabbit, SM83, TLCS-90, eZ80, R800, Padauk PDK14 and PDK15 microprocessors. There also is incomplete support for the Microchip PIC16 and PIC18 and the Padauk PDK13.
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    Downloads: 13,036 This Week
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  • 2

    Cortex GNAT Run Time Systems

    Supports writing Ada software for Cortex-M3, M4F boards

    DEVELOPMENT OF THIS PROJECT HAS MOVED TO GITHUB, at https://github.com/simonjwright/cortex-gnat-rts This project contains various GNAT Ada Run Time Systems (RTSs) targeted at Cortex boards: so far, the Arduino Due (http://www.arduino.org) and the STM32F4-series evaluation boards from STMicroelectronics (http://www.st.com). It is intended that releases will allow the development of proprietary software (by the use of the GCC Runtime Library exception for project-developed code, and by...
    Downloads: 2 This Week
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  • 3

    MSP430-Ada

    Ada compiler support for TI MSP430 processors

    Compiler and device support for Ada programs on the ultra-low-power TI MSP430 microcontrollers. This project builds on the Gnu Gnat/GCC Ada compiler, the Sourceforge mspgcc back-end and MSP430 CPU support. It was inspired by the Sourceforge AVR-Ada project.
    Downloads: 0 This Week
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  • 4
    NUDA (= Nemerle Unified Device Architecture) is a set of extensions for Nemerle programming language to facilitate GPU programming and writing HPC applications. Its main purpose is to experiment with extensible languages for HPC applications
    Downloads: 1 This Week
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    The purpose of this project is to modify SmartEiffel to allow it to be used to create applications for mobile device platforms such as Symbian, BREW, and J2ME. Currently the codebase is based on SmartEiffel 1.0, but we are looking into moving over to Sma
    Downloads: 0 This Week
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  • 6

    AntiPython-AI-Compiler-Colab

    Google Colab GPU access in your favorite programming language

    AntiPython Colab is a source to source compiler that let's you build AI in Java, Rust, JavaScript, Flutter, C#, Go, Ocaml(and etc...) utilizing free Google Colab GPUs! It's blazingly fast and very robust as it uses websockets and the Treesitter C library under the hood.
    Downloads: 0 This Week
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