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Awesome GitHub RepositoriesGPU Hardware Metric Visualizers

Translates cryptic GPU hardware values into actionable information, hierarchically ordered down to individual source lines.

Distinct from GPU Performance Profilers: Distinct from GPU Performance Profilers: focuses on visualizing and translating hardware metrics into actionable information, not just tracking memory and throughput.

Explore 2 awesome GitHub repositories matching testing & quality assurance · GPU Hardware Metric Visualizers. Refine with filters or upvote what's useful.

Awesome GPU Hardware Metric Visualizers GitHub Repositories

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  • nvidia/isaac-gr00tNVIDIA 的头像

    NVIDIA/Isaac-GR00T

    6,222在 GitHub 上查看↗

    Translates cryptic GPU hardware values into actionable information down to source lines.

    Jupyter Notebook
    在 GitHub 上查看↗6,222
  • google/perfettogoogle 的头像

    google/perfetto

    5,558在 GitHub 上查看↗

    Perfetto is a platform for system-level performance tracing and analysis on Linux and Android. It combines a high-throughput trace recorder, a SQL-based query engine, and a browser-based visualizer into a single toolchain. The platform covers CPU scheduling and call-stack profiling, native and Java heap memory allocation tracking, GPU and graphics events, and system-wide counters such as CPU frequency and power consumption. The architecture decouples trace recording from offline analysis, using a compact protobuf format for event encoding and columnar storage for efficient SQL queries. The we

    Organizes GPU traces into timelines by device and process, displaying per-kernel metric tables and details.

    C++
    在 GitHub 上查看↗5,558
  1. Home
  2. Testing & Quality Assurance
  3. Performance Testing and Analysis
  4. Performance Profiling
  5. GPU Performance Profilers
  6. GPU Hardware Metric Visualizers

探索子标签

  • GPU Trace Track OrganizersOrganizes GPU events into visual tracks by device and process with per-kernel metrics. **Distinct from GPU Hardware Metric Visualizers:** Distinct from GPU Hardware Metric Visualizers: focuses on organizing GPU traces into tracks and displaying per-kernel metric tables rather than translating raw hardware values.