Introducing Krep, an incredibly fast string search utility designed for performance-critical applications. It blows traditional tools like grep out of the water by offering 5x faster speeds! With features such as hardware acceleration, multi-threading, smart algorithm selection, memory efficiency, and a simple interface – it’s no wonder developers are excited about this gem.
Krep boasts optimized algorithms alongside memory-mapped file I/O for outstanding performance. It intelligently leverages SSE4.2 and AVX2 instructions when available to maximize throughput while maintaining accuracy in large files with parallel processing using smart chunk boundaries.\
The tool dynamically chooses the best algorithm based on pattern characteristics, hardware capabilities, and even adjusts itself depending on whether case sensitivity is required or not. Its memory-efficient approach uses minimal allocations and memory mapping to minimize overhead without sacrificing performance.
Easy usage examples showcase Krep’s versatility: basic searches within files; case-insensitive search with multiple threads; counting occurrences only across specific file types; even searching within a given string. The provided algorithm selection logic further highlights its smartness in choosing the most suitable method for each situation.
Benchmark results demonstrate Krep consistently outperforming other popular tools like ripgrep and grep across various file sizes and search patterns. Its true potential shines when handling large files on modern multi-core systems, fully utilizing hardware capabilities to deliver impressive speeds.
To get started with Krep, clone the repository from GitHub using git commands followed by building it locally via make command before installing as root using sudo make install (prerequisites include a compatible compiler like GCC or Clang along with pthread library).
Created passionately by Davide Santangelo under copyright © 2025, Krep promises to revolutionize how we approach string search operations in our applications.
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