Showing 9 open source projects for "rpc shared memory"

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    StringZilla

    StringZilla

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

    ...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. A standard dataset pre-processing use case would be to map a sizeable textual dataset like Common Crawl into memory, spawn child processes, and split the job between them.
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  • 2
    Coost

    Coost

    A tiny boost library in C++11

    coost is an elegant and efficient cross-platform C++ base library. Its goal is to create a sword of C++ to make C++ programming easy and enjoyable. Coost, co for short, is like boost, but more lightweight, the static library built on Linux or Mac is only about 1MB in size. log supports two types of logs: one is level log, which is divided into 5 levels: debug, info, warning, error, and fatal, printing a fatal log will terminate the program; the other is topic log, logs are grouped by topic...
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  • 3
    Chronicle Wire

    Chronicle Wire

    Low Garbage Java Serialisation Library that supports multiple formats

    Chronicle Wire is a Wire Format abstraction library. Chronicle Wire uses Chronicle Bytes for bytes manipulation, and Chronicle Core for low-level JVM access. Configuration includes aliased type information. This supports easy extension by adding new classes/versions, and cross-platform using type aliasing. By supporting types, a configuration file can bootstrap itself. You control how the configuration file is decoded. See example Queue Enterprise config. To send the configuration of a...
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  • 4
    gSOAP Toolkit

    gSOAP Toolkit

    Development toolkit for Web Services and XML data bindings for C & C++

    The gSOAP toolkit is an extensive suite of portable C and C++ software to develop XML Web services with powerful type-safe XML data bindings. Easy-to-use code-generator tools allow you to directly integrate XML data in C and C++. Serializes native application data in XML. Includes WSDL/XSD schema binding and auto-coding tools, stub/skeleton compiler, Web server integration with Apache module and IIS extension, high-performance XML processing with schema validation, fast MIME/MTOM streaming,...
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    Downloads: 452 This Week
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  • 5
    PJON

    PJON

    Experimental, arduino-compatible, multi-master, multi-media network

    PJON® (Padded Jittering Operative Network) is an experimental, Arduino-compatible, multi-master, multi-media, software-defined network protocol that can be easily cross-compiled on many microcontrollers and real-time operative systems like ATtiny, ATmega, SAMD, ESP8266, ESP32, STM32, Teensy, Raspberry Pi, Zephyr, Linux, Windows x86, Apple and Android. PJON operates on a wide range of media, data links and existing protocols like PJDL, PJDLR, PJDLS, Serial, RS485, USB, ASK/FSK, LoRa, UDP,...
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  • 6
    GUN

    GUN

    Cybersecurity protocol for syncing decentralized graph data

    GUN is a small, easy, and fast data sync and storage system that runs everywhere JavaScript does. The aim of GUN is to let you focus on the data that needs to be stored, loaded, and shared in your app without worrying about servers, network calls, databases, or tracking offline changes or concurrency conflicts. This lets you build cool apps fast. When a browser peer asks for data, it'll merge the reply with its own data using a CRDT, then cache the result. GUN is fully decentralized...
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  • 7
    Extended Memory Semantics (EMS)

    Extended Memory Semantics (EMS)

    Persistent shared object memory and parallelism for Node.js and Python

    EMS makes possible persistent shared memory parallelism between Node.js, Python, and C/C++. Extended Memory Semantics (EMS) unifies synchronization and storage primitives to address several challenges of parallel programming. A modern multi-core server has 16-32 cores and nearly 1TB of memory, equivalent to an entire rack of systems from a few years ago. As a consequence, jobs formerly requiring a Map-Reduce cluster can now be performed entirely in shared memory on a single server without using distributed programming.
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  • 8
    Fast and multi platform reader of network traces, have possible to shared date in screen, file or Matlab
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  • 9

    Occursions

    Fast customizable time series web database for big data like log files

    ...Occursions asynchronously tails log files and indexes the individual lines in each log file as each line is written to disk so you don't even have to wait for a second after an event happens to search for it. Occursions uses custom disk backed data structures to create and search its indexes so it is very efficient at using CPU, memory and disk. You can extend Occursions with shared libraries to support your own file formats, even binary file formats!
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