77 packages tagged with “cpu”
Export system metrics (CPU usage, disk usage, etc) to Prometheus from your .NET app.
Monitor the temperature sensors, fan speeds, voltages, load and clock speeds of your computer.
ILGPU compiler and runtime library for convenient and high-performance GPU programming in .Net. Samples can be found in the GitHub repository: https://github.com/m4rs-mt/ILGPU/tree/master/Samples
This package contains all-in-one library to help track CPU / Memory (RAM) / Disk (Ready) usage / SQL and SQL Server Performance to monitor device and assembly performance better. Your all-in-one System Performance tracker. GitHub Open Source Poject: https://github.com/somdipdey/SystemPerformance.git
Package Description
A plug-in that counts the usage of .NET application resources, including: CPU usage, GC, thread status, support for obtaining status information through web requests (access paths and authentication can be customized), and data will be returned in JSON format.
Wolfpack.Contrib.Checks.CpuThreshold
The CPU runtime of Paddle on the Windows platform
Real-time monitoring tool for .NET Core process metrics (CPU, Memory). Monitor any .NET process by PID and get JSON output with CPU usage, memory consumption, and performance metrics.
Simplify process calls, command line read and write operations, host operating system commands, and other functions.
iCPUID is a lightweight cross-platform implementation that allows us to obtain the CPUID information. Works on Windows, Mac and Linux
Z80 CPU emulator written in dotnet
Retrieves CPUs installed on the system and relatives bus, clocks, voltages and temperatures. For dotnet standard.
Hardware-validated test suite for Intel 8086 CPU emulator validation (opcodes 00-FF). Contains thousands of tests per opcode with cycle-accurate execution data.
Hardware-validated test suite for Intel 80286 CPU emulator validation (opcodes 80-BF). Contains thousands of tests per opcode with cycle-accurate execution data.
Native OpenBLAS binaries for CPU-accelerated BLAS operations. This package provides the OpenBLAS native library required by AiDotNet.Tensors for CPU acceleration.
A tensor libaray based on CPU. It includes many operations and can be used for neural networks
Hardware-validated test suite for Intel 80286 CPU emulator validation (opcodes C0-FF). Contains thousands of tests per opcode with cycle-accurate execution data.
Hardware-validated test suite for Intel 80286 CPU emulator validation (opcodes 00-3F). Contains thousands of tests per opcode with cycle-accurate execution data.
Hardware-validated test suite for Intel 80286 CPU emulator validation (opcodes 40-7F). Contains thousands of tests per opcode with cycle-accurate execution data.
A fast and clean supervised neural network in C++, capable of effectively using multiple cores
Some Dialogs for user assistance
Wolfpack.Contrib.Checks.CpuThresholdsWithGranularity
Per-job cpu usage including async jobs on Windows, Linux and Mac. Targets are .Net Standard 1.3, 2.0, and .Net Framework 4.6+
本类库提供了软件注册码辅助类、性能计数器操作辅助类、物理硬件相关操作辅助类、性能计数器等实用辅助工具类；简单实用、舒心易用，是您开发中的必备利器。 内置多个独立的版本（net20, net40, net45, net472, netcoreapp3.1, net5.0）。 NOTE: 本产品在长期的开发实践工作奋战中，或创作、或摘抄、或优化、或改善、或封装、或集成、或切面等等综合而成，如有雷同，纯属他人抄袭（^_^），不然就是我在抄袭（>_<）；本产品经过了精心的优化改良，同时还进行了适当的完善处理，对所有归集的成品进行了分门别类放置，以供不同场景的便利使用；本产品涵盖之广，运用之丰，可以满足大、中、小等项目的自由支配使用，方便快捷、合理舒心，在使用的过程中还请注重作者劳动成果，保留必要的注释或文字标识，谢谢。
MAUI Performance Overlay – a lightweight, draggable performance HUD for .NET MAUI apps. Provides real-time metrics: FPS, frame time, CPU and memory usage, active threads, GC collections, allocations per second, battery consumption (Android only), and networking statistics (requests, bytes sent/received, average response time). Tracks load time per component, calculates an overall performance score, and offers AI-powered performance insights and recommendations via Gemini integration. Cross-platform support: Android, iOS, MacCatalyst, Tizen, and Windows. Seamlessly integrates into your app to deliver real-time diagnostics, profiling, and AI-driven optimization tips.
You can easy get your System stats and manage it.
Shows certain information about CPU/GPU on a device.