awesome-repositories.com

Entdecke die besten Open-Source-Repositories mit KI-gestützter Suche.

EntdeckenKuratierte SuchenBlogSitemap
ProjektÜber unsPresseMCP-Server
RechtlichesDatenschutzAGB
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
awesome-repositories.comBlog
Kategorien

2 Repos

Awesome GitHub RepositoriesElementwise Tile Math Operations

Applying standard math functions elementwise on tile fragments in GPU kernels.

Distinct from Tile-Based Kernel Authoring: Distinct from Tile-Based Kernel Authoring: focuses on elementwise math operations on tiles, not general tile programming.

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Elementwise Tile Math Operations. Refine with filters or upvote what's useful.

Awesome Elementwise Tile Math Operations GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • tile-ai/tilelangAvatar von tile-ai

    tile-ai/tilelang

    5,226Auf GitHub ansehen↗

    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

    TVM's feature to compute exponential, logarithmic, trigonometric, and other elementary math operations within GPU/CPU kernel code.

    Python
    Auf GitHub ansehen↗5,226
  • xtensor-stack/xtensorAvatar von xtensor-stack

    xtensor-stack/xtensor

    3,748Auf GitHub ansehen↗

    xtensor is a C++ multidimensional array library for numerical computing that provides N-dimensional containers with an interface mirroring the NumPy API. It utilizes a lazy evaluation expression engine to defer numerical computations until assignment, which minimizes memory allocations and intermediate copies. The library features a foreign memory array adaptor that allows it to wrap external buffers, such as NumPy arrays, to perform numerical operations in-place without duplicating data. It further optimizes performance through lazy broadcasting and a system that manages the lifetime of temp

    Calculates standard elementary math functions, including trigonometric and exponential operations, element-wise.

    C++c-plus-plus-14multidimensional-arraysnumpy
    Auf GitHub ansehen↗3,748
  1. Home
  2. Artificial Intelligence & ML
  3. GPU Kernel Implementations
  4. Tile-Based Kernel Authoring
  5. Elementwise Tile Math Operations

Unter-Tags erkunden

  • Elementary Math FunctionsComputation of exponential, logarithmic, trigonometric, and other elementary math operations within GPU/CPU kernel code. **Distinct from Elementwise Tile Math Operations:** Distinct from Elementwise Tile Math Operations: focuses on the specific set of elementary math functions (exp, log, trig) rather than general elementwise operations on tiles.