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2 repositorios

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

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • nvidia/isaac-gr00tAvatar de NVIDIA

    NVIDIA/Isaac-GR00T

    6,222Ver en GitHub↗

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

    Jupyter Notebook
    Ver en GitHub↗6,222
  • google/perfettoAvatar de google

    google/perfetto

    5,558Ver en GitHub↗

    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++
    Ver en GitHub↗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

Explorar subetiquetas

  • 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.