2 个仓库
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.
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.
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.