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Awesome GitHub RepositoriesConvolution Kernel Configurators

Defines a matrix-matrix convolution computation with configurable dimensions, data types, and optional bias.

Distinct from Convolutional Kernel Optimizations: Distinct from Convolutional Kernel Optimizations: focuses on defining the convolution kernel, not optimizing it.

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Awesome Convolution Kernel Configurators GitHub Repositories

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  • tile-ai/tilelangالصورة الرمزية لـ tile-ai

    tile-ai/tilelang

    5,226عرض على GitHub↗

    TileLang is a Python-embedded domain-specific language compiler that JIT-compiles and autotunes GPU kernels. It uses a tile-based DSL, automatic software pipelining, and parallel autotuning to generate optimized GPU kernels at runtime. It supports tensor core operations with Pythonic syntax, automatic memory management, and thread mapping. The compiler searches over tile sizes, thread counts, and scheduling policies, compiling and benchmarking candidates in parallel to find the fastest kernel. It also caches compiled binaries and tuning results to disk for reuse across sessions. TileLang inc

    Defines matrix-matrix convolution computations with configurable dimensions, data types, and optional bias.

    Python
    عرض على GitHub↗5,226
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  3. Convolutional Kernel Optimizations
  4. Convolution Kernel Configurators

استكشف الوسوم الفرعية

  • Hardware-Aware Convolution ConfiguratorsRetrieves optimized convolution kernel configurations tailored to a target hardware architecture. **Distinct from Convolution Kernel Configurators:** Distinct from Convolution Kernel Configurators: retrieves hardware-optimized configurations, not just defining the convolution computation.