Showing 2 open source projects for "risc-none-embed-gcc"

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    XNNPACK

    XNNPACK

    High-efficiency floating-point neural network inference operators

    XNNPACK is a highly optimized, low-level neural network inference library developed by Google for accelerating deep learning workloads across a variety of hardware architectures, including ARM, x86, WebAssembly, and RISC-V. Rather than serving as a standalone ML framework, XNNPACK provides high-performance computational primitives—such as convolutions, pooling, activation functions, and arithmetic operations—that are integrated into higher-level frameworks like TensorFlow Lite, PyTorch Mobile...
    Downloads: 0 This Week
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    cpm-ulibc

    Minimalistic C library for CP/M

    The aim of this project is to develop minimalistic C library for CP/M using plain C and Z80 assembly language. It should compile with LLVM's Clang patched for Z80 architecture support and GNU `as` from `binutils` package built with `--target=z80-none-elf` flag passed to its `configure` script.
    Downloads: 0 This Week
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