Showing 4 open source projects for "fast performance"

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    AhoCorasickDoubleArrayTrie

    AhoCorasickDoubleArrayTrie

    An extremely fast implementation of Aho Corasick algorithm

    AhoCorasickDoubleArrayTrie is a Java implementation of the Aho–Corasick multi-pattern matching algorithm that is optimized using a Double-Array Trie data structure. It is designed for fast keyword scanning across large texts, where you want to search for many patterns simultaneously and efficiently. The core idea is to build an automaton from a dictionary of patterns, then stream through input text to emit matches with minimal overhead. By using a double-array trie representation, the project emphasizes performance and memory efficiency compared to simpler pointer-heavy trie structures, which can matter a lot for large dictionaries or latency-sensitive services. ...
    Downloads: 2 This Week
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  • 2
    Open Simplex Project

    Open Simplex Project

    A Simple GUI Implementation of the Simplex Algorithm

    Downloads: 0 This Week
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  • 3

    Concurrency Freaks

    A library with Scalable (and fast) Read-Write locks

    This library contains Java code for several Read-Write Locks: - ScalableRWLock: A rw-lock that scales with the number of threads doing read-lock. - ScalableRWLockS: Similar to above but different implementation. - ScalableStampedRWLock: An hybrid of the ScalableRWLock and the StampedLock provided in JDK 8, which provides good overall performance. - FAARWLock: Uses a Fetch-And-Add operation for the read-lock which means it is not so scalable as ScalableRWLock but it is still faster than...
    Downloads: 0 This Week
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  • 4

    Funnel Sort

    command line sort utility

    Moved to GitHub https://github.com/fedups A command-line utility to sort files. Funnel is a sort utility to sort files, large and small. It efficiently handles fixed length records and variable length records. Funnel easily handles ascii (readable) data and binary data. There are many more features in Funnel. It is easy to use and very fast. All documentation is on the Wiki.
    Downloads: 0 This Week
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