Showing 7 open source projects for "high performance computing"

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  • 1
    PI-Based Image Encoder / Converter

    PI-Based Image Encoder / Converter

    Python code able to convert / compress image to PI (3.14, π) Indexes

    ...Power Management set as High Performance .. in Balanced is slow)
    Downloads: 0 This Week
    Last Update:
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  • 2
    AhoCorasickDoubleArrayTrie

    AhoCorasickDoubleArrayTrie

    An extremely fast implementation of Aho Corasick algorithm

    ...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. This makes it a strong fit for tasks like content filtering, entity/term spotting, dictionary-based annotation, or high-throughput log/text processing. In short, it’s a specialized, speed-focused library for industrial-strength multi-keyword matching in Java.
    Downloads: 8 This Week
    Last Update:
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  • 3
    A high-performance functional, set-theoretic collections library. All collections are immutable; updates return a new collection. Supports arbitrary nesting (sets of sets etc.). Implemented with heterogeneous binary trees. Lisp and Java; more to come.
    Downloads: 0 This Week
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  • 4
    A collection of Concurrent and Highly Scalable Utilities. These are intended as direct replacements for the java.util.* or java.util.concurrent.* collections but with better performance when many CPUs are using the collection concurrently.
    Downloads: 0 This Week
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  • 5
    FastAOP is an very high performant AOP (Aspect Oriented Programming) framework for java. The framework was initially developped to support performance profiling and monitoring for large J2EE applications with nearly no runntime overhad. Announcement: jp-mobile and fastAOP will go mobile, please visit jp-mobile (GWT based) website at: http://code.google.com/p/jp-mobile/
    Downloads: 0 This Week
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  • 6
    Conrad is both a high performance Conditional Random Field engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.
    Downloads: 0 This Week
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  • 7
    SDD: Duplicated code detection tool
    Downloads: 0 This Week
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