A high-performance cache simulator implemented in Rust, designed to model and analyze cache behavior under various configurations. It processes memory access patterns from trace files with configurable parameters like cache size, associativity, and number of sets, providing detailed metrics and insights into cache performance.
Developed highly efficient algorithms for cache lookup and replacement to ensure the simulator could process large trace files quickly, leveraging Rust's performance capabilities while maintaining memory safety through ownership principles.
Successfully implemented accurate cache behavior modeling including hit/miss detection, dirty bit management, and proper LRU implementation to ensure simulation results closely match real-world hardware behavior.
Created a robust metrics collection system that accurately tracks and calculates a wide range of performance indicators, providing valuable insights into cache behavior under different configurations and workloads.
Sole developer responsible for architecture design, algorithm implementation, performance optimization, and testing across various cache configurations and trace files. Applied computer architecture principles to create an educational tool with practical applications.
Developed a reliable, high-performance cache simulator that provides valuable insights into cache behavior for educational and research purposes. The tool effectively demonstrates the impact of various cache configurations on system performance, helping users understand complex computer architecture concepts through practical simulation.