Search Results for "distributed shared memory" - Page 10
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Showing 447 open source projects for "distributed shared memory"
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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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R3ETelemetry
Open source telemetry tool for R3E
R3ETelemetry is a telemetry tool for the PC racing simulation RaceRoom Racing Experience (R3E) from Sector3 Studio. It helps to record and analyze your driving in R3E. R3ETelemetry uses the API from R3E (shared memory) to gather data in form of telemetry data. This data then can be analyzed inside R3ETelemetry. The tool also helps to prepare for long distance races, as it also records fuel consumption and tire wear (per lap). -
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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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P3: The Portable Unix Programming System
Multi-process homeostatic software agent library
PUPS/P3 facilitates development of multi-process multi-host computations by providing tools to emulate colonies of homeostatic organisms. It permits persistent computation, homeostatic resource protection, and asychronous interprocess communication. -
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KB1OIQ - aa-analyzer
RigExpert AA-xxx antenna analyzer data extraction tool
aa-analyzer is a Perl script written by KB1OIQ which collects data from a RigExpert AA-xxx antenna analyzer and outputs it as a CSV file, which can be imported into any spreadsheet program. Please note that this software is distributed within the "Andy's Ham Radio Linux" software collection. -
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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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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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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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beanbun
PHP multiprocess web crawling framework with distributed support
...It supports both normal execution mode and daemon mode, allowing crawlers to run continuously in long-running background processes when needed. Beanbun uses a downloader component based on Guzzle and integrates with Workerman to enable multi-process crawling and efficient concurrency. It supports distributed crawling environments and multiple queue backends, including in-memory queues and Redis-based queues. Developers can customize how pages are downloaded, processed, and discovered through callback hooks and step-based crawling stages. With its extensible plugin architecture and configurable components, Beanbun allows users to implement custom queues, crawling strategies, and data processing logic. -
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popcornlinux
replicated-kernel Linux-based OS
The Popcorn Linux project is exploring how to design operating system for future multi- and many-core hardware platforms, that can be Instruction Set Architecture (ISA)-diverse, based on the Linux kernel. -
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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.
