Showing 4 open source projects for "simd"

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    Sonic JSON

    Sonic JSON

    A blazingly fast JSON serializing & deserializing library

    A blazingly fast JSON serializing & deserializing library, accelerated by JIT (just-in-time compiling) and SIMD (single-instruction-multiple-data).
    Downloads: 0 This Week
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  • 2
    StringZilla

    StringZilla

    10x faster string search, split, sort, and shuffle for long strings

    ...It matches the first few letters of words with hyper-scalar code to achieve memcpy speeds. The implementation fits into a single C 99 header file and uses different SIMD flavors and SWAR on older platforms. The Str is designed to replace long Python str strings and wrap our C-level API. On the other hand, the File memory-maps a file from persistent memory without loading its copy into RAM. The contents of that file would remain immutable, and the mapping can be shared by multiple Python processes simultaneously. ...
    Downloads: 0 This Week
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  • 3
    simdjson

    simdjson

    Parsing gigabytes of JSON per second

    JSON is everywhere on the Internet. Servers spend a *lot* of time parsing it. We need a fresh approach. The simdjson library uses commonly available SIMD instructions and microparallel algorithms to parse JSON 4x faster than RapidJSON and 25x faster than JSON for Modern C++. The simdjson library uses three-quarters less instructions than state-of-the-art parser RapidJSON. To our knowledge, simdjson is the first fully-validating JSON parser to run at gigabytes per second (GB/s) on commodity processors. ...
    Downloads: 0 This Week
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  • 4
    Pikkr

    Pikkr

    JSON parser to pick up values directly without performing tokenization

    ...Pikkr is a JSON parser that picks up values directly without performing tokenization in Rust. Creates an index which maps logical locations of queried fields to their physical locations by using SIMD instructions and bit manipulation. Finds values of queried fields by scanning a JSON record using the index created in the previous process and learns their logical locations (i.e. pattern of the JSON structure) in the early stages. Speculates logical locations of queried fields by using the learned result information, jumps directly to their physical locations and extracts values in the later stages. ...
    Downloads: 0 This Week
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