Search Results for "distributed shared memory" - Page 8
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Showing 295 open source projects for "distributed shared memory"
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ELF (Extensive Lightweight Framework)
An End-To-End, Lightweight and Flexible Platform for Game Research
ELF (Extensive, Lightweight, and Flexible) is a high-performance platform for reinforcement learning research that unifies simulation, data collection, and distributed training. A C++ core provides fast environments and concurrent actors, while Python bindings expose simple APIs for agents, replay, and optimization loops. It supports both single-agent and multi-agent settings, with batched stepping and shared-memory queues that keep GPUs saturated during training. ELF introduced widely used reference systems, most notably ELF OpenGo, demonstrating at-scale self-play with strong analysis tooling and public checkpoints. ... -
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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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Prometheus Spec
Censorship-resistant trustless state channels for machine learning
Censorship resistant decentralised computing is a new topic in distributed systems theory. With the recent rise in popularity of Bitcoin as a censorship-resistant financial and transactional system a new technological field of blockchain and its applications appeared. This work addresses the problem of computational integrity proofs (correctness of the actual computations) made by some non-trusted (anonymous) third party without repeating the whole volume of the actual computing. The issue... -
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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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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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Pathephone
Distributed audio player
Imagine streaming an application without a single server, yet able to discover music for you. There is no way to control, to block or even to shut down Pathephone network. You are free to share and listen vinyl quality music if you wish. Any music shared by others is available to you, any music shared by you is available to others. No regional limits, works even behind Great Chinese Firewall. There is no one in control, and no one will ever charge a fee. Bugfixes and new features are... -
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OpenSeq2Seq
Toolkit for efficient experimentation with Speech Recognition
...Mixed-precision support (float16) is optimized for NVIDIA Volta and Turing GPUs, allowing significant speedups and memory savings without sacrificing model quality. The project comes with configuration-driven training scripts, documentation, and examples that demonstrate how to set up pipelines for tasks. -
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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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RSMQ
Redis Simple Message Queue
A lightweight Redis-backed message queue for handling simple distributed messaging and job processing. -
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JCSprout
Basic, concurrent algorithm
JCSprout is a curated learning path for Java engineers that mixes concise notes, diagrams, and runnable examples to cover core computer science and JVM topics. It walks readers through data structures and algorithms, networking fundamentals, Java concurrency, JVM memory model and GC, and common interview problem patterns. The repository emphasizes understanding over memorization, linking conceptual summaries with small code artifacts that can be compiled and profiled. It also highlights best... -
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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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Easy Machine Learning
Easy Machine Learning is a general-purpose dataflow-based system
Machine learning algorithms have become the key components in many big data applications. However, the full potential of machine learning is still far from being realized because using machine learning algorithms is hard, especially on distributed platforms such as Hadoop and Spark. The key barriers come from not only the implementation of the algorithms themselves but also the processing for applying them to real applications which often involve multiple steps and different algorithms. Our... -
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popt4jlib
Parallel Optimization Library for Java
...A fast parallel implementation of the network simplex method, and some full-fledged parallel/distributed MIP solvers will be added in the next version. In general, emphasis is given in improving the efficiency of the algorithms in shared-memory models via java threads, since multi-core machines are so wide-spread today. -
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Lists all the processes, executables, and shared libraries that are using up virtual memory. It's helpful to see how the shared memory is used and which 'old' libs are loaded.
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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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TORO is demonstrating an innovative operating system by integrating at the same ring level both kernel and the user application server. The threads of the user application server are distributed evenly on all CPUs and running independently in parallel. The memory model chosen is NUMA without pagination. During the initialization, the memory is divided proportionally for each processor installed on the system. When a thread needs memory, the memory allocator returns a free block of memory depending on which CPU the thread is running. ...
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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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Voldemort
A distributed key-value storage system
...Voldemort is not a relational database or an object database. It is essentially a big, distributed, persistent, fault-tolerant hash table. This doesn’t make it ideal for all applications but does offer unique advantages, such as the ability to read and write scale horizontally, and the ability to combine in memory caching with the storage system so that a separate caching tier is not required. -
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Neuroblock
A Project to crerate artificial intellignece
This is a project to create artificial intelligence , It uses the components created by Deric , It uses a type of hierarchical memory which is modeled exactly based on how brain processes neural activity , at the concepts core stands a block of neurons made up of neurons which can only be on or off but never both , and these neurons are staked on top of each other to form mini columns -
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JavaCá&Lá
A java middleware for HPC and IoT
The Java Cá&Lá (or just JCL - www.javacaela.org) is a middleware that integrates high performance computing (HPC) and Internet of things (IoT) in a unique API. It enables asynchronous remote method invocation and distributed shared memory services over multicore computer architectures or over multicomputer clusters. Sensing services are also feasible in JCL IoT version. An API for internal control enables collecting several times and memory usage of tasks submitted to the JCL cluster. Finally, a distributed map implementation adopts de Java Map interface, a common data structure for Java developers. ... -
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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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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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H2O-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning
H2O-3 is an open-source machine learning platform designed to build scalable and distributed machine learning models across large datasets. The system operates as an in-memory computing platform that allows data scientists to train models quickly using distributed resources. It supports many machine learning algorithms including generalized linear models, gradient boosting machines, deep learning networks, and ensemble techniques. -
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RSS
Online cloud school information management software
( RSS ) is elegant in its operational concept of a ‘ Service Oriented Approach'.The distributed and synchronized data provides the source of information needed for student, parent, staff and management at a much higher speed. It is designed to speed up various tasks across the institution system and offers modules from student robust features that benefit educators, students, and staff. An ERP solution that can be accessed anytime, anywhere, RSS automates the entire student lifecycle — integrating admissions, registration, fee receipts, finan-cial aid, student services and more into a single system that even includes built-in, self-service portals, all operating on a sing e, secure shared database. ...
