Search Results for "distributed shared memory"
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Showing 11 open source projects for "distributed shared memory"
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FusionCache
FusionCache is an easy to use, fast and robust cache
FusionCache is an easy-to-use, fast, and robust cache with advanced resiliency features and an optional distributed 2nd layer. It was born after years of dealing with all sorts of different types of caches: memory caching, distributed caching, http caching, CDNs, browser cache, offline cache, you name it. So I've tried to put together these experiences and came up with FusionCache. -
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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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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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SimpleXlsxWriter
C++ library for creating XLSX files for MS Excel 2007 and above.
This library represents XLSX files writer for Microsoft Excel 2007 and above. The main feature of this library is that it uses C++ standard file streams. On the one hand it results in almost unnoticeable memory and CPU resources consumption while processing (that may be very useful at saving a large data arrays), but on the other hand it makes unfeasible to edit data that were written. Hence, if using this library the structure of the future report should be known enough. The library is written in C++ with using STL functionality and based on the ZIP library (included), which has a free license: http://www.codeproject.com/Articles/7530/Zip-Utils-clean-elegant-simple-C-Win32 This library is distributed under the terms of the zlib license: http://www.zlib.net/zlib_license.html -
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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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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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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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Fast and multi platform reader of network traces, have possible to shared date in screen, file or Matlab
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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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XML Processor. A Multi-threaded, Pub/Sub environment for Dynamic programming on an event driven Tickless and Sleeping State Machine with TCP communications, tight flawless memory management, powerful set algebra and a magical database. 100% C++. ezPort.
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Shared Questionnaire System(SQS) is a full-functional Optical Mark Reader(OMR) form processing system implemented in Java-Swing, XSL-FO and AJAX with straightforward GUIs. It is aimed at developing social platform to share knowledge about questionnaire.
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