PerformancePulse

Description

PerformancePulse is a comprehensive CPU benchmarking tool that evaluates single-threaded and multi-threaded performance, as well as memory access speed. Customize test parameters and get detailed results saved to a text file for easy comparison. Run multiple tests to ensure accuracy and consistency.

Features

• Single-Threaded Performance: Measures the CPU's efficiency in handling single-threaded tasks using Fibonacci calculations.
• Multi-Threaded Performance: Evaluates the CPU's multi-threading capabilities through prime number calculations.
• Memory Access Speed: Assesses the speed of memory access operations to provide a complete performance profile.
• Detailed Configuration: Allows customization of test parameters to suit different benchmarking needs.
• Progress Feedback: Displays real-time progress, iteration counts, and timers for each test.
• Comprehensive Results: Stores detailed benchmark results in a text file for easy comparison.

Usage

1. Clone the repository:

   git clone https://github.com/jacobawebb/PerformancePulse.git

2. Navigate to the project directory:

   cd PerformancePulse

3. Run the benchmarking tool:

   node benchmark.js

Configuration

Customize the benchmarking tests by modifying the CONFIG object in benchmark.js:

const CONFIG = {
    fibTest: {
        iterations: 40, // Number of Fibonacci calculations
        depth: 30,      // Depth of Fibonacci calculation
        runs: 5         // Number of times to run the test for averaging
    },
    primeTest: {
        limit: 100000,  // Upper limit for prime number calculation
        runs: 5,        // Number of times to run the test for averaging
    },
    memoryTest: {
        size: 100 * 1024 * 1024, // Size of the memory buffer to test in bytes
        runs: 5,                 // Number of times to run the test for averaging
    }
};

Contributions

Contributions are welcome! Feel free to open an issue or submit a pull request with any improvements or suggestions.

License

This project is licensed under the MIT License - see the LICENSE file for details.