Showing 4 open source projects for "linux kernel"

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  • 1
    Linux insides

    Linux insides

    A book-in-progress about the Linux kernel and its insides

    ...It is written for readers who already have some familiarity with C and assembly language and want to understand what happens under the hood of Linux. The material is continuously updated as the kernel evolves, reflecting changes in modern kernel versions. Overall, linux-insides is widely regarded as a deep technical learning resource for systems programmers and advanced Linux enthusiasts.
    Downloads: 1 This Week
    Last Update:
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  • 2
    KaNaPi

    KaNaPi

    Educational Linux Distribution

    Main goals: * Prepare operating system based on Linux kernel and free software for use at home from scratch by building sources. Binary packages/images are also available. * Each package is installed in separate directory, so you can use different versions of applications and libraries by design. * There is only one user 'kanapi' with root permissions, so you don't have to login, remember passwords, etc
    Downloads: 41 This Week
    Last Update:
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  • 3
    BPF Performance Tools

    BPF Performance Tools

    Official repository for the BPF Performance Tools book

    ...The repository showcases how eBPF enables safe, low-overhead tracing directly inside the Linux kernel without requiring intrusive instrumentation. It includes tools for profiling, latency analysis, syscall tracing, and troubleshooting distributed systems or production environments. Overall, the project is regarded as a foundational resource for understanding advanced Linux performance engineering and observability techniques.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Convolution arithmetic

    Convolution arithmetic

    A technical report on convolution arithmetic in deep learning

    A technical report on convolution arithmetic in the context of deep learning. The code and the images of this tutorial are free to use as regulated by the licence and subject to proper attribution. The animations will be output to the gif directory. Individual animation steps will be output in PDF format to the pdf directory and in PNG format to the png directory. We introduce a guide to help deep learning practitioners understand and manipulate convolutional neural network architectures....
    Downloads: 0 This Week
    Last Update:
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