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Cross-Platform Compute Frameworks · Awesome GitHub Repositories

1 repo

Awesome GitHub RepositoriesCross-Platform Compute Frameworks

Frameworks that enable compute-intensive algorithms to run across diverse hardware architectures.

Distinguishing note: Focuses on the portability of compute-intensive algorithms across hardware backends.

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  • taichi-dev/taichi

    taichi-dev/taichi

    27,982View on GitHub↗

    Taichi is a domain-specific programming language embedded in Python designed for high-performance numerical computing and computer graphics. It functions as a parallel compiler that translates high-level mathematical expressions into optimized machine instructions, enabling developers to write compute-intensive algorithms that execute across diverse hardware architectures, including CPUs, GPUs, and specialized accelerators. The project distinguishes itself through a hardware-agnostic execution layer that maps parallel operations to multiple backends such as CUDA, Metal, and Vulkan. By utilizi

    Develops compute-intensive algorithms that run seamlessly across different hardware architectures from a single codebase.

    C++computer-graphicsdifferentiable-programminggpu
    27,982View on GitHub↗