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3 Repos

Awesome GitHub RepositoriesRuntime Object Interoperability

Direct interaction with the underlying object system and run loops of a language runtime.

Distinct from Internal Object Extensions: Candidates focus on security capabilities or plugin extensions, not the language's object system internals.

Explore 3 awesome GitHub repositories matching programming languages & runtimes · Runtime Object Interoperability. Refine with filters or upvote what's useful.

Awesome Runtime Object Interoperability GitHub Repositories

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  • njhu/iosprojectAvatar von NJHu

    NJHu/iOSProject

    5,426Auf GitHub ansehen↗

    Dieses Projekt ist eine Sammlung von Objective-C iOS-Anwendungs-Demos und Code-Beispielen. Es bietet Implementierungen für grundlegende Entwicklungsmuster und systemnahe Funktionen innerhalb der iOS-Umgebung. Das Repository konzentriert sich auf Beispiele für die Objective-C-Runtime und demonstriert dynamisches Method-Dispatching und Runtime-Swizzling zur Änderung des Objektverhaltens. Es enthält zudem eine Core-Animation-UI-Bibliothek sowie Beispiele für iOS-Multithreading und Concurrency-Management. Das Projekt deckt Funktionen für UI-Animation und Grafik, die Koordinierung nebenläufiger Aufgaben sowie die Integration von Drittanbieter-Diensten für Authentifizierung und Social Sharing ab.

    Interacts with the underlying object system to change behavior and process system events dynamically.

    Objective-Canimationcoreanimationcoregraphics
    Auf GitHub ansehen↗5,426
  • uxlfoundation/onednnAvatar von uxlfoundation

    uxlfoundation/oneDNN

    4,009Auf GitHub ansehen↗

    oneDNN is a library for deep learning acceleration that provides optimized building blocks for neural network training and inference. It manages tensor computation across CPU and GPU hardware, enabling the execution of high-performance primitives for model training and neural network inference optimization. The project distinguishes itself through hardware-specific kernel optimization and the use of just-in-time compilation to target specific processor instruction sets. It supports quantized neural network execution using both static and dynamic quantization to reduce memory usage and increas

    Maps internal engine and memory objects to SYCL devices and queues to share execution contexts with external kernels.

    C++aarch64amxavx512
    Auf GitHub ansehen↗4,009
  • intel/llvmAvatar von intel

    intel/llvm

    1,497Auf GitHub ansehen↗

    The project is a reusable collection of modular compiler and toolchain technologies designed for building optimizers, code generators, and multi-language programming environments. It provides foundational compiler frontend technologies that translate source code written in C, C++, and Objective-C into a low-level programming language and intermediate code format. This intermediate representation enables cross-language analysis, program transformation, and target-independent optimization alongside a cross-platform programming framework that allows developers to write single-source accelerated a

    Provides single-source heterogeneous application development using industry-standard compute extensions.

    LLVMintelllvmoneapi
    Auf GitHub ansehen↗1,497
  1. Home
  2. Programming Languages & Runtimes
  3. Runtime Object Interoperability

Unter-Tags erkunden

  • SYCL Object InteroperabilityMapping of internal engine and memory objects to SYCL devices and queues for context sharing. **Distinct from Runtime Object Interoperability:** Specifically targets the SYCL compute standard's object model rather than general language runtime object internals.