awesome-repositories.com
博客
MCP
awesome-repositories.com

通过 AI 驱动的搜索,发现最优秀的开源仓库。

探索精选搜索开源替代品自托管软件博客网站地图
项目MCP 服务器关于排名机制媒体报道
法律隐私政策服务条款
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

1 个仓库

Awesome GitHub RepositoriesDraw Call Profilers

Tracks draw call counts, GPU memory allocation, and CPU/GPU execution time per command.

Distinct from GPU Performance Profilers: Distinct from GPU Performance Profilers: focuses on per-command draw call and timing metrics, not general GPU throughput or model inference profiling.

Explore 1 awesome GitHub repository matching testing & quality assurance · Draw Call Profilers. Refine with filters or upvote what's useful.

Awesome Draw Call Profilers GitHub Repositories

用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
  • regl-project/reglregl-project 的头像

    regl-project/regl

    5,528在 GitHub 上查看↗

    regl is a declarative WebGL library that manages graphics state and GPU resources through functional commands instead of manual binding and state tracking. It provides a command-based drawing abstraction where shaders, attributes, and render state are encapsulated into reusable, compiled functions that can be executed efficiently. What sets regl apart is its scoped state inheritance system, which allows nested drawing commands to inherit and override render state from parent scopes for organized rendering. The library automatically recovers from GPU context loss by restoring buffer and textur

    Regl collects CPU and GPU timing data and draw call counts per command for rendering performance diagnostics.

    JavaScriptjavascriptreglwebgl
    在 GitHub 上查看↗5,528
  1. Home
  2. Testing & Quality Assurance
  3. Performance Testing and Analysis
  4. Performance Profiling
  5. GPU Performance Profilers
  6. Draw Call Profilers