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Awesome GitHub RepositoriesHardware Resource Profilers

Tools that collect comprehensive CPU, GPU, and memory performance data during execution.

Distinct from GPU Performance Profilers: Combines CPU and GPU profiling into a unified operation view, whereas the sibling focuses only on GPU throughput

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

Awesome Hardware Resource Profilers GitHub Repositories

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  • vladmandic/sdnextvladmandic 的头像

    vladmandic/sdnext

    7,139在 GitHub 上查看↗

    SD.Next is an all-in-one web interface and multi-backend inference engine for generating, editing, and processing images and videos using diffusion models. It functions as a comprehensive tool for diffusion model management and an automated image processing pipeline for bulk operations. The project is distinguished by its hardware-backend abstraction layer, which provides automatic detection and acceleration for NVIDIA CUDA, AMD ROCm, Intel OpenVINO, and DirectML. It features a headless generative API and a programmatic command interface, allowing users to trigger tasks via REST API or CLI wi

    Collects detailed CPU, GPU, and memory profiling data to identify performance bottlenecks during generation tasks.

    Pythonai-artcaptiondiffusers
    在 GitHub 上查看↗7,139
  • deepops-ai/deepopsdeepops-ai 的头像

    deepops-ai/deepops

    3,965在 GitHub 上查看↗

    DeepOps 是一个全栈可观测性平台和应用程序性能监控工具。它作为分布式服务可观测性套件,旨在跨不同基础设施层跟踪响应时间、资源使用情况和服务健康状况。 该平台作为跨栈遥测聚合器运行,将指标和日志统一为单一数据流。它集成了一个启发式异常检测系统,分析性能基准以识别统计异常值并预测操作故障。 该系统涵盖了广泛的监控功能,包括实时延迟监控、分布式跟踪关联和跨层资源分析。它利用多维数据索引来过滤和分析复杂技术栈中的系统指标。

    Monitors hardware and software consumption to correlate resource exhaustion with application performance drops.

    TypeScriptapmjaegerobservability
    在 GitHub 上查看↗3,965
  1. Home
  2. Testing & Quality Assurance
  3. Performance Testing and Analysis
  4. Performance Profiling
  5. Hardware Resource Profilers

探索子标签

  • Resource Exhaustion ProfilersTools that correlate hardware and software consumption patterns specifically to detect resource exhaustion. **Distinct from Hardware Resource Profilers:** Focuses on the correlation between consumption patterns and performance drops rather than just collecting hardware data.