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2 repositorios

Awesome GitHub RepositoriesManaged GPU Compute Bindings

Java bindings that enable offloading parallel computation to GPUs via OpenCL or Vulkan compute.

Distinct from GPU Computations: Distinct from GPU Computations: provides managed-language bindings for GPU compute, not raw GPU programming.

Explore 2 awesome GitHub repositories matching hardware & iot · Managed GPU Compute Bindings. Refine with filters or upvote what's useful.

Awesome Managed GPU Compute Bindings GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • gorgonia/gorgoniaAvatar de gorgonia

    gorgonia/gorgonia

    5,919Ver en GitHub↗

    Gorgonia is a Go library that provides an automatic differentiation engine and a computation graph framework for building and training neural networks. It functions as a CUDA-accelerated tensor library and a SIMD-optimized math library, enabling machine learning workflows entirely within the Go ecosystem. The library distinguishes itself through a dual-backend architecture that dispatches neural network operations to either a GPU or CPU depending on CUDA availability at runtime. It constructs differentiable directed acyclic graphs of tensor operations, supports reverse-mode automatic gradient

    Creates hardware-specific CUDA bindings using a code generation tool to enable GPU-accelerated computation.

    Go
    Ver en GitHub↗5,919
  • lwjgl/lwjgl3Avatar de LWJGL

    LWJGL/lwjgl3

    5,269Ver en GitHub↗

    LWJGL is a cross-platform library that provides Java bindings to native APIs for graphics, audio, compute, windowing, and input. It enables Java applications to access low-level hardware-accelerated capabilities such as OpenGL and Vulkan rendering, OpenAL 3D audio, OpenCL GPU compute, and GLFW windowing and input handling. Under the hood, LWJGL dynamically resolves native function pointers at runtime, loads platform-specific shared libraries, and uses generated JNI bindings to bridge Java and native code. It offers explicit memory management through direct buffer access and stack-allocated me

    Offloads parallel computation tasks to GPUs via OpenCL or Vulkan compute from a Java runtime.

    Javabindingsfmodfreetype
    Ver en GitHub↗5,269
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  2. Hardware & IoT
  3. System Integration And Performance
  4. GPU & Performance
  5. GPU Computations
  6. Managed GPU Compute Bindings

Explorar subetiquetas

  • CUDA Binding GeneratorsCode generation tools that create hardware-specific CUDA bindings for a project to enable GPU-accelerated computation. **Distinct from Managed GPU Compute Bindings:** Distinct from Managed GPU Compute Bindings: generates CUDA-specific bindings, not general OpenCL or Vulkan compute bindings.