Showing 4 open source projects for "esoteric software runtime"

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  • 1
    CPU Features

    CPU Features

    A cross platform C99 library to get cpu features at runtime

    cpu_features is a cross-platform C library developed by Google that provides a simple and efficient way to detect available CPU features at runtime across a wide range of architectures and operating systems. It enables applications to determine which instruction sets (such as SSE, AVX, or NEON) are supported on the host machine, allowing developers to optimize performance dynamically. The library supports numerous architectures—including x86, ARM, AArch64, MIPS, POWER, RISCV, LoongArch, and...
    Downloads: 0 This Week
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  • 2
    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...
    Downloads: 3 This Week
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  • 3
    AWS CodeBuild curated Docker images

    AWS CodeBuild curated Docker images

    AWS CodeBuild repository for managed Docker images

    When you call AWS CodeBuild to run a build, you must provide information about the build environment. A build environment represents a combination of operating system, programming language runtime, and tools that CodeBuild uses to run a build. The master branch will sometimes have changes that are still in the process of being released in AWS CodeBuild. When you provide information to CodeBuild about the build environment, you specify the identifier of a Docker image in a supported...
    Downloads: 0 This Week
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  • 4
    z-utalm

    z-utalm

    Unified Test and Logging layer for multiple programming languages

    Modern software systems and application are commonly written in multiple languages, include scripting engines, and are frequently build on multiple specialized frameworks and middleware for a considerable diversity of runtime environments. The latest influencing update in development paradigm is the application of multicore processors. This projects is aimed to unify the required trace and logging output and integrate into debugging environments.
    Downloads: 0 This Week
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