System Benchmark & Stress Test Suite

This repository contains a collection of Python scripts for benchmarking and stress-testing various aspects of your system, including CPU, memory, disk I/O, and multicore performance. It also includes a sophisticated all-in-one stress test (stress2.py) with advanced monitoring and reporting features.

Features

• CPU Benchmarking: Matrix multiplication, prime counting, and quicksort (single and multicore).
• Memory Bandwidth Benchmarking: Vectorized memory operations.
• Disk I/O Benchmarking: Sequential write/read speed tests.
• Multicore Stress Testing: Parallel sorting and prime counting.
• Comprehensive Stress Test: stress2.py provides advanced stress testing with logging, monitoring, and reporting.

Scripts Overview

Script	Description
CPU-Intensive_Benchmark.py	Matrix multiplication CPU benchmark
Diskio.py	Disk I/O write/read speed test
mbb.py	Memory bandwidth benchmark
Multicore_CPU_Stress_Test.py	Multicore CPU prime counting
multicore.py	Parallel sort using all CPU cores
quicksort_single_core.py	Single-core quicksort benchmark
stress.py	Full system stress test (CPU, RAM, Disk)
stress2.py	Advanced stress test with monitoring/report

Requirements

• Python 3.8+
• Recommended: Run in a virtual environment

Python Packages

• numpy
• psutil
• GPUtil (for GPU info, optional)

Install requirements with:

pip install numpy psutil gputil

Note: Some scripts use the multiprocessing and concurrent.futures modules from the Python standard library.

Usage

A main entry script (main.py) is provided to run any of the benchmarks or stress tests interactively.

Run the main entry point

python main.py

Follow the prompts to select and run a benchmark or stress test.

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Warning: These scripts can heavily load your system. Save your work and close other applications before running stress tests.

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License

MIT License