Showing 3 open source projects for "parallel compression"

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  • 1
    Google Highway

    Google Highway

    Performance-portable, length-agnostic SIMD with runtime dispatch

    Google Highway is a high-performance C++ library designed to provide portable SIMD (Single Instruction, Multiple Data) vectorization across multiple CPU architectures while maintaining predictable and efficient behavior. It abstracts low-level vector intrinsics into a consistent API that maps closely to hardware instructions, allowing developers to write high-performance code without relying heavily on compiler auto-vectorization. Highway enables the same source code to run across different...
    Downloads: 7 This Week
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    ClickHouse

    ClickHouse

    A fast open-source OLAP database management system

    ClickHouse® is a fast, open-source column-oriented database management system that can generate analytical data reports through SQL queries in real time. According to several independent benchmarks, it far exceeds other comparable column-oriented database management systems, working even up to 1000 times faster. It is able to process hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. Apart from its blazing speed, ClickHouse is highly...
    Downloads: 17 This Week
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  • 3
    Sqlite Index Blaster

    Sqlite Index Blaster

    Create huge Sqlite indexes at breakneck speeds

    SQLite Blaster is an advanced SQLite extension that enhances database performance by enabling multi-threading, data compression, and memory optimizations. It is designed for applications that require fast local storage with improved query efficiency.
    Downloads: 0 This Week
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