Showing 17 open source projects for "shared memory allocator"

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  • 1
    I hate money

    I hate money

    A simple shared budget manager web application

    I hate money is a web application made to ease shared budget management. It keeps track of who bought what, when, and for whom; and helps to settle the bills. I hate money is written in python, using the flask framework. It’s developed with ease of use in mind and is trying to keep things simple. Hope you (will) like it! The code is distributed under a BSD beerware derivative: if you meet the people in person and you want to pay them a craft beer, you are highly encouraged to do so.
    Downloads: 5 This Week
    Last Update:
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  • 2
    Unified Communication X

    Unified Communication X

    Communication framework for data-centric high-performance applications

    ...UCX exposes a set of abstract communication primitives which utilize the best of available hardware resources and offloads. These include RDMA (InfiniBand and RoCE), TCP, GPUs, shared Memory, and network atomic operations. UCX facilitates rapid development by providing a high-level API, masking the low-level details, while maintaining high-performance and scalability. UCX implements best practices for transfer of messages of all sizes, based on accumulated experience gained from applications running on the world’s largest datacenters and supercomputers.
    Downloads: 0 This Week
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  • 3
    RIBs

    RIBs

    Uber's cross-platform mobile architecture framework

    ...Plus, most RIB logic is decoupled from child RIB logic. This makes RIB classes easy to test and reason about independently. Tooling for developer productivity. RIBs come with IDE tooling around code generation, memory leak detection, static analysis and runtime integrations.
    Downloads: 0 This Week
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  • 4
    Tiny CUDA Neural Networks

    Tiny CUDA Neural Networks

    Lightning fast C++/CUDA neural network framework

    ...We provide a sample application where an image function (x,y) -> (R,G,B) is learned. The fully fused MLP component of this framework requires a very large amount of shared memory in its default configuration. It will likely only work on an RTX 3090, an RTX 2080 Ti, or high-end enterprise GPUs. Lower-end cards must reduce the n_neurons parameter or use the CutlassMLP (better compatibility but slower) instead. tiny-cuda-nn comes with a PyTorch extension that allows using the fast MLPs and input encodings from within a Python context. ...
    Downloads: 0 This Week
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  • 5
    Laravel Haystack

    Laravel Haystack

    Supercharged job chains for Laravel

    Laravel Haystack provides supercharged job chains for Laravel. It comes with powerful features like delaying jobs for as long as you like, applying middleware to every job, sharing data and models between jobs and even chunking jobs. Laravel Haystack supports every queue connection/worker out of the box. (Database, Redis/Horizon, SQS). It's great if you need to queue thousands of jobs in a chain or if you are looking for features that the original Bus chain doesn't provide. If you need to...
    Downloads: 0 This Week
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  • 6
    Rocket Chip

    Rocket Chip

    Rocket Chip Generator

    ...A diplomacy framework (LazyModules) lets designers wire components with negotiated parameters, enabling reuse and rapid exploration of different cache sizes, port counts, and memory hierarchies. The generator supports custom accelerators through the RoCC interface, allowing domain-specific compute units to be plugged into the pipeline with shared cache and memory semantics. Tooling integrates with FIRRTL, Verilator, and commercial EDA flows, and the ecosystem around Rocket Chip (e.g., Chipyard) adds harnesses, peripherals, and verification infrastructure.
    Downloads: 1 This Week
    Last Update:
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  • 7

    JavaCá&Lá

    A Java Distributed Shared Memory Middleware

    How can we easily develop applications for multicore or multicomputer architectures? We frequently use middlewares for that problem, but they are often complex and less productive. This way, at DECOM-UFOP, we have a middleware, named JavaCa&La or just JCL, to build portable and scalable solutions over many high performance computer architectures. Our middleware APIs is simple, intuitive and designed for young and senior programmers who don’t have high performance programming skills. Using...
    Downloads: 0 This Week
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  • 8

    RapidDevelop R#

    RapidDevelop is an IDE and Compiler for a new programming language!

    ...Being an extension of C#, you can link, build or compile native C# assemblies or Classes and Libraries so that you can very easily port existing code. The programming language also exists in a managed shared library and can be dropped into any .net project so that you can use the compiler in your own projects, with plans to even provide executing compiled code in memory, effectively creating a RapidLang Scripting Language plugin!
    Downloads: 0 This Week
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  • 9
    TechMVC 3.2.1

    TechMVC 3.2.1

    MVC2 based HTML 5 enabled Web Application Framework

    TechMVC is a very powerful and highly optimized MVC2 based web application framework, which enables developers to build high performance Website. Current Version: 3.1.1 Features Upgraded: =============== 1. Meta Character set support enabled. Can be specified from Config.php($var->defaultCharacterSet). Default: utf-8 2. Following functions added: a. TechMVC::LoadLibrary($path, $shared = false) -> Include library to TechMVC runtime. b. In Config.php varriable...
    Downloads: 0 This Week
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  • 10

    The SNOMP Library

    SNOMP (SNOMP is Not OpenMP) is a library for semi-shared memory parall

    SNOMP (SNOMP is Not OpenMP) is a library for semi-shared memory parallelization.
    Downloads: 0 This Week
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  • 11
    Library that offers users an easy to use interface to synchronize shared data access following the software transactional memory principle.
    Downloads: 0 This Week
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  • 12
    Photon provides very fast access to data containers (queues, maps, etc.) in shared memory - it can retrieve millions of data records per second. It also uses some RDB concepts like transactions and crash recovery. See web site for details.
    Downloads: 1 This Week
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  • 13
    STLshm provides an C++ STL Allocator implementation for creating and using STL containers (and any other allocator aware types) in shared memory regions. It supports multiple shared region implementations.
    Downloads: 0 This Week
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  • 14
    QuickMP (Quick Multi-Processing) is a simple cross-platform C++ API for generating parallel for loops in shared-memory programs, similar to OpenMP. It provides automatic scalable performance based on the number of available processors.
    Downloads: 0 This Week
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  • 15
    Jalin aims to bring Linux's IPC facilities within reach of Java programs. Java programs using Jalin will be able to communicate using a variety of techniques from shared memory segments to message queues.
    Downloads: 0 This Week
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  • 16
    Blackboard implements a lightweight, portable tuple space suitable for multi-agent system and distributed component design. Supports implicit invocation via content-filtered asynchronous events, blocking call semantics, and shared memory messaging.
    Downloads: 0 This Week
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  • 17
    libqmsg is an implementation of well-known Send/Receive/Reply messaging model using Linux shared memory and POSIX message queues.
    Downloads: 0 This Week
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