Search Results for "distributed shared memory" - Page 4
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Showing 144 open source projects for "distributed shared memory"
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PyText
A natural language modeling framework based on PyTorch
...It achieves this by providing simple and extensible interfaces and abstractions for model components, and by using PyTorch’s capabilities of exporting models for inference via the optimized Caffe2 execution engine. We use PyText at Facebook to iterate quickly on new modeling ideas and then seamlessly ship them at scale. Distributed-training support built on the new C10d backend in PyTorch 1.0. Mixed precision training support through APEX (trains faster with less GPU memory on NVIDIA Tensor Cores). Extensible components that allows easy creation of new models and tasks. -
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ApertusVR
Virtual Reality software library
The main feature of ApertusVR is the so called "Distributed Plugin-in Mechanism" which means that not only humans could be involved in a multi-user virtual reality scene but any element of the Internet of Things like hardware, software, robot or any kind of smart device. ApertusCore is a programming library written in C++11, that fulfills modern software requirements as it is modular, embeddable, platform-independent, and easily configurable. It contains basic software interfaces and modules... -
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httest is a script based tool for testing and benchmarking web applications, web servers, proxy servers and web browsers. httest can emulate clients and servers in the same test script, very useful for testing proxys.
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megatest
Run tasks/tests, get trustworthy pass/fail info rolled up
Distributed test running system. build for running simulations, quality assurance or similar where you need to run a large number of tests. Supports dependencies, iteration, disk space management and log file analysis. -
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Eta
The Eta Programming Language, a dialect of Haskell on the JVM
A powerful programming language to build concurrent & distributed systems on the JVM. Eta is a pure, lazy, strongly typed functional programming language on the JVM. It brings two big ecosystems, the JVM and Haskell, together. This allows you to harness the best of both ecosystems to build your applications quickly and effectively. Eta's concurrency support helps you to build highly scalable systems. -
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Wally
Distributed Stream Processing
...By eliminating infrastructure complexity, going from prototype to production has never been simpler. When we set out to build Wally, we had several high-level goals in mind. Create a dependable and resilient distributed computing framework. Take care of the complexities of distributed computing "plumbing," allowing developers to focus on their business logic. Provide high-performance & low-latency data processing. Be portable and deploy easily (i.e., run on-prem or any cloud). Manage in-memory state for the application. Allow applications to scale as needed, even when they are live and up-and-running. ... -
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libaco
A blazing fast and lightweight C asymmetric coroutine library
...The benchmark part shows that a context switch between coroutines only takes about 10 ns (in the case of the standalone stack) on the AWS c5d.large machine. User could choose to create a new coroutine with a standalone stack or with a shared stack (could be shared with others). It is extremely memory-efficient, 10,000,000 coroutines simultaneously to run cost only 2.8 GB physical memory (run with tcmalloc, each coroutine has a 120B copy-stack size configuration). The phrase "fastest" in above means the fastest context switching implementation which complies to the Sys V ABI of Intel386 or AMD64. -
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Napa.js
Napa.js, a multi-threaded JavaScript runtime
...Node.js compatible module architecture with NPM support. API for object transportation, object sharing and synchronization across JavaScript threads. API for pluggable logging, metric and memory allocator. Distributed as a Node.js module, as well as supporting embed scenarios. Most of the time, there is no need to build Napa.js. When consuming Napa.js via npm install napajs, npm will first try to download the pre-build binaries for the current platform. -
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Project continued at github, see https://github.com/wolfc01/procexp/blob/master/README.md Graphical process explorer for Linux. Shows process information: process tree, TCP IP connections and graphical performance figures for processes. Aims to mimic Windows procexp from sysinternals, and aims to be more usable than top and ps, especially for advanced users. Audience for this tool: * Advanced system administrators trying to analyze on process level what is going on in a production...
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lichess.org
The forever free, ad-free and open source chess server
lichess.org (also known as Lila - lichess in Scala) is a free and open source chess server written in Scala 2.13 that focuses on real time gameplay and ease of use. It’s where countless chess players and chess enthusiasts can gather and watch or play from a selection of over a million games every day, analyze games, learn and improve their playing. lichess is equipped with a search engine, computer analysis, tournaments, exhibitions, a mobile app, a shared analysis board, and so much... -
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This is a collection of libraries contained : Shared memory allocation, configuration script processor, containers (trees, lists, queues, stacks), file system abstraction, network library, timers/threads, Image library, Display libraries, and more.
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Saros brings multi-writer synchronous distributed editing to the Eclipse IDE, e.g. for joint code reviews, explaining code remotely, or distributed pair programming -- all also for more than 2 participants; we call this Distributed Party Programming. It includes refined awareness functionality, text chat, and a simple distributed whiteboard/sketching facility. Eclipse Update Site: https://www.saros-project.org/update-site/eclipse
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Chapel
a Productive Parallel Programming Language
Chapel is an emerging parallel programming language whose design and development are being led by HPE in collaboration with academia, computing labs, and industry. Chapel's goal is to improve the productivity of parallel programmers, from laptops to supercomputers. **Please note that Chapel development has moved to GitHub** -
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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... -
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libshmal
Primitive shared memory allocator that allows several independent proc
Primitive shared memory allocator that allows several independent processes to share same shared memory segments. It provides shared memory analogs to regular memry library calls like malloc(), free(), etc. Currently may work with mmap() or shmget(). -
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ipc-quartztime
inter process communication library based on POSIX
ipc-quartztime is an inter process communication library based on shared memory, mutexes and signals. ipc-quartztime is intended for high-speed and high-throughput communication between processes. -
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Shared Memory Arena
shared memory allocator
a shared memory allocator that provides a simple interface for named shared memory segments; shared memory between any processes; provides shared memory queues; does not use the same address between processes; fast structured arena file scales well -
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As of now, you can get Ehcache only from ehcache.org or Maven central. A simple, fast, thread safe, standards based cache for Java, and provides memory and disk stores and distributed operation for clusters. ehcache is widely used in such open source projects as Hibernate and Spring. Terracotta offers enterprise edition
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Core Analyzer
A power tool to debug core dump, memory corruption, optimized code.
The project is now hosted on github: https://github.com/yanqi27/core_analyzer.git Core analyzer is a power tool to debug memory issues. With ever increasing complexity and dataset size of application programs, it is very challenging to find the root cause of a memory bug. Programmers often use debugger to go through many contexts or data objects in order to hunt down a suspicious variable or object. However, the task is boring, prone to error and usually fruitless. By parsing a core dump... -
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DropboxMQ is an implementation of the Java Message Service API that uses a shared file system to store and distribute messages. A dropbox is a set of shared directories that relies on atomicity of file move operations to settle contention for messages.
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The AntHill library implements network fail-over and scaling functionality for any user applications and protocols. Implement different transports such as TCP, UDP & Shared Memory. Contains useful utilities such as DumpSender and etc.
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Ruby Serial
Optimized serialization library for Ruby objects.
Library serializing Ruby objects, optimized in many ways: * Fast and small: use MessagePack (binary compact storage) and don't serialize twice the same object * Independent of Ruby version: dump and load data across different versions * Keep shared objects: if an object is shared by others, serialization still keeps the reference and does not duplicate objects in memory * Gives the ability to fine tune which attributes of your objects are to be serialized (defaults to all) * Keeps backward compatibility with previously serialized versions * Has callbacks support to fine tune the serialization process * Can serialize objects having reference cycles (self-contained Arrays, Hashes, objects...) -
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AlgART Java Libraries
Open source library for processing arrays and matrices
AlgART Java libraries for processing arrays and matrices are open-source product, distributed under MIT license. So, anyone can use them for free without any restrictions. Main features: 63-bit addressing of array elements (64-bit long int indexes), memory model concept (allowing storing data in different schemes from RAM to mapped disk files), wide usage of lazy evaluations, built-in multithreading optimization for multi-core processors, wide set of image processing algorithms over matrices, etc. - please see at the site. ... -
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prog89s52
Utility for programming an AT89S52 via a parallel port.
...A 5-way cable is required to connect the microcontroller to the port; wiring information is given in the included manual page. Remember that a clock source is required in order to program the device, and that EA must be tied to Vcc when programming the internal flash memory. Note that since prog89S52 uses ioperm() and friends to access the underlying port hardware, you may need to run it as root. Both binary and source may be freely distributed and modified, but both are provided without any form of express or implied warranty. -
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A C++ based lightweight, non-invasive SCA (Service Component Architecture) runtime. Optimized for the use in the embedded domain. We are proud to announce release 0.8 of Trentino Release 0.8 adds a major feature to Trentino. With Service discovery, configuration, deployment and operation of Services on devices is made simple and cost efficient.
