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3 dépôts

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

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • njhu/iosprojectAvatar de NJHu

    NJHu/iOSProject

    5,426Voir sur GitHub↗

    Ce projet est une collection de démos d'applications iOS en Objective-C et d'exemples de code. Il fournit des implémentations pour les patterns de développement fondamentaux et les fonctionnalités au niveau système au sein de l'environnement iOS. Le dépôt se concentre sur des exemples de runtime Objective-C, démontrant le dispatch dynamique de méthodes et le swizzling runtime pour modifier le comportement des objets. Il inclut également une bibliothèque d'UI Core Animation et des exemples pour la gestion du multithreading et de la concurrence sous iOS. Le projet couvre des capacités pour l'animation d'UI et les graphismes, la coordination de tâches concurrentes, et l'intégration de services tiers pour l'authentification et le partage social.

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

    Objective-Canimationcoreanimationcoregraphics
    Voir sur GitHub↗5,426
  • uxlfoundation/onednnAvatar de uxlfoundation

    uxlfoundation/oneDNN

    4,009Voir sur GitHub↗

    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
    Voir sur GitHub↗4,009
  • intel/llvmAvatar de intel

    intel/llvm

    1,497Voir sur GitHub↗

    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
    Voir sur GitHub↗1,497
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  2. Programming Languages & Runtimes
  3. Runtime Object Interoperability

Explorer les sous-tags

  • 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.