High-performance Go library for prime number generation, featuring parallel processing and optimized segmented sieve implementation. Automatically switches between algorithms based on input size for maximum efficiency.
🚀 Features
- High Performance: Optimized algorithms for maximum efficiency
- Parallel Processing: Multi-threaded implementation for faster computation
- Adaptive Algorithm Selection: Automatically chooses the best algorithm based on input size
- Segmented Sieve: Memory-efficient implementation for large number ranges
- Go Optimized: Built specifically for Go’s concurrency model
🛠️ Technologies Used
- Language: Go (Programming Language)
- Concurrency: Goroutines and channels
- Algorithms: Sieve of Eratosthenes, Segmented Sieve
- Optimization: Parallel processing and memory management
📊 Performance
- Scalable: Handles large number ranges efficiently
- Memory Efficient: Uses segmented sieve to minimize memory usage
- Fast: Parallel processing significantly improves performance
- Adaptive: Automatically selects optimal algorithm based on input size
🔧 Algorithm Details
The library implements multiple prime generation algorithms:
- Basic Sieve of Eratosthenes: For smaller ranges
- Segmented Sieve: For larger ranges with memory constraints
- Parallel Processing: Multi-threaded execution for maximum speed
📈 Use Cases
- Cryptography: Prime number generation for cryptographic applications
- Mathematical Research: Large-scale prime number analysis
- Performance Testing: Benchmarking and optimization
- Educational: Learning about prime number algorithms
🎯 Key Benefits
- Production Ready: Robust error handling and testing
- Well Documented: Comprehensive documentation and examples
- Extensible: Easy to modify and extend for specific needs
- Cross Platform: Works on all Go-supported platforms
This project demonstrates advanced Go programming skills, algorithm optimization, and parallel processing techniques.