awesome-repositories.com
ब्लॉग
awesome-repositories.com

AI-संचालित खोज के साथ बेहतरीन ओपन-सोर्स रिपॉजिटरी खोजें।

एक्सप्लोर करेंक्यूरेटेड खोजेंओपन-सोर्स विकल्पसेल्फ-होस्टेड सॉफ्टवेयरब्लॉगसाइटमैप
प्रोजेक्टहमारे बारे मेंहम रैंकिंग कैसे करते हैंप्रेसMCP सर्वर
कानूनीगोपनीयताशर्तें
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

1 रिपॉजिटरी

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.

Explore 1 awesome GitHub repository matching artificial intelligence & ml · Convolution Kernel Configurators. Refine with filters or upvote what's useful.

Awesome Convolution Kernel Configurators GitHub Repositories

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • tile-ai/tilelangtile-ai का अवतार

    tile-ai/tilelang

    5,226GitHub पर देखें↗

    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
    GitHub पर देखें↗5,226
  1. Home
  2. Artificial Intelligence & ML
  3. Convolutional Kernel Optimizations
  4. Convolution Kernel Configurators

सब-टैग एक्सप्लोर करें

  • 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.