awesome-repositories.com
Blog
awesome-repositories.com

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

EntdeckenKuratierte SuchenOpen-Source-AlternativenSelf-hosted SoftwareBlogSitemap
ProjektÜber unsRanking-MethodikPresseMCP-Server
RechtlichesDatenschutzAGB
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 Repos

Awesome GitHub RepositoriesMemory Layout Visualizers

Tools for generating graphics that represent the physical layout of data structures in memory.

Distinct from Memory Retrieval Visualizers: None of the candidates cover the visualization of struct padding and alignment; most focus on data mapping.

Explore 2 awesome GitHub repositories matching operating systems & systems programming · Memory Layout Visualizers. Refine with filters or upvote what's useful.

Awesome Memory Layout Visualizers GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • dominikh/go-toolsAvatar von dominikh

    dominikh/go-tools

    6,818Auf GitHub ansehen↗

    go-tools is a collection of utilities for Go static analysis and memory layout optimization. It provides a toolset designed to analyze source code to detect bugs and dead code, alongside specialized tools for optimizing how structs are arranged in memory. The project includes a memory alignment visualizer to display physical memory layouts and padding, as well as a struct layout optimizer that reorders fields to minimize memory padding. Additionally, it provides a boilerplate generator to automate the creation of registration and test files required for developing custom Go analyzers. The to

    Generates human-readable graphics to represent how a Go struct is laid out in memory.

    Go
    Auf GitHub ansehen↗6,818
  • 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

    Generates visual representations of fragment layouts to help understand thread and index mappings in GPU kernels.

    Python
    Auf GitHub ansehen↗5,226
  1. Home
  2. Operating Systems & Systems Programming
  3. Memory Layout Visualizers

Unter-Tags erkunden

  • Fragment Layout VisualizersGenerates visual representations of fragment layouts to aid in understanding thread and index mappings. **Distinct from Memory Layout Visualizers:** Distinct from Memory Layout Visualizers: focuses on visualizing fragment layouts for GPU kernels, not general memory layouts.
  • Thread-Data Layout VisualizersGenerates textual descriptions and color-coded diagrams showing how logical indices map to thread IDs and register files. **Distinct from Memory Layout Visualizers:** Distinct from Memory Layout Visualizers: focuses on visualizing thread-to-data mappings, not general memory layouts.