Search Results for "distributed shared memory" - Page 7
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Showing 447 open source projects for "distributed shared memory"
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Speedcrypt File Encryption
A File Encryptor with many Options and Powerful Algorithms!
Speedcrypt is a software to encrypt your data that implements some of the most powerful and secure algorithms in the world. It also uses the most sophisticated password derivation techniques, with very robust HASH Functions. Speedcrypt implements libraries such as Bouncy Castle and others among the most used in the world of cryptography! Speedcrypt is a free program for encrypt the files which helps you to manage in a secure way. The files are encrypted using the best and most Secure... -
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OmniGraffle Stencil for TRAK
Simple, pragmatic enterprise architecture for the mobile
Stencil for Omnigraffle drawing tool (Mac & iPad) to enable architecture description views to be created for the TRAK Architecture Framework (available on Sourceforge via the trak, https://trakmetamodel.sourceforge.io and https://trakviewpoints/sourceforge.io projects). Provides the set of shapes and connectors needed to create TRAK views to describe the enterprise, concepts, systems and how they're procured. Using the stencil in conjunction with the defining TRAK documents you can... -
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CursusDB
CursusDB is an open-source distributed in-memory database
CursusDB is a time-series database built for high-performance analytics and data processing, optimized for handling large volumes of sequential data efficiently. -
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gokv
Simple key-value store abstraction and implementations for Go
Simple key-value store abstraction and implementations for Go. Redis, Consul, etcd, bbolt, BadgerDB, LevelDB, Memcached, DynamoDB, S3, PostgreSQL, MongoDB, CockroachDB, and many more. There are detailed descriptions of the methods in the docs and in the code. You should read them if you plan to write your own gokv.Store implementation or if you create a Go package with a method that takes a gokv.Store as a parameter, so you know exactly what happens in the background. -
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Ring
Simple and flexible programming language for applications development
The Ring is a practical general-purpose multi-paradigm language. The supported programming paradigms are imperative, procedural, object-oriented, declarative using nested structures, functional, meta programming and natural programming. The language is portable (MS-DOS, Windows, Linux, macOS, Android, WebAssembly, Microcontrollers, etc.) and can be used to create Console, GUI, Web, Games and Mobile applications. The language is designed to be simple, small and flexible. Ring is... -
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Punica
Serving multiple LoRA finetuned LLM as one
Punica is a system designed to efficiently serve multiple LoRA-fine-tuned large language models within a shared GPU environment. LoRA is a parameter-efficient fine-tuning method that allows developers to adapt large pretrained models to specific tasks by adding lightweight adapter layers rather than retraining the entire model. Punica introduces a serving architecture that allows multiple LoRA adapters to share the same base model during inference, significantly reducing memory consumption and computational overhead. ... -
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NSQ
A realtime distributed messaging platform
NSQ is a realtime distributed messaging platform that is designed to scale, and can even handle billions of messages daily. It promotes distributed and decentralized topologies, allowing it high availability and fault tolerance along with guaranteed reliable message delivery. NSQ scales horizontally and is easy to configure and deploy. It is agnostic to data format, so messages can be in JSON, MsgPack, Protocol Buffers, or anything else. Official Go and Python libraries are available,... -
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Cabal Desktop
Desktop client for Cabal
Cabal Desktop is a peer-to-peer, encrypted chat and file-sharing desktop application built on top of the Cabal protocol, designed for communities that value privacy, resilience, and decentralization. Unlike traditional messaging platforms, Cabal works offline-first and uses a distributed append-only log (similar to Secure Scuttlebutt) for data replication. All messages and content are shared directly between peers over local or internet connections without any central servers. It's ideal for activist groups, local networks, or anyone seeking a censorship-resistant communication tool with strong privacy guarantees. -
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SpiceDB
SpiceDB is the open source, Zanzibar-inspired authorization system
Open Source, Google Zanzibar-inspired permissions database to enable fine-grained access control for customer applications. Get started with the SpiceDB playground: https://play.authzed.com/ -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Neural Tangents
Fast and Easy Infinite Neural Networks in Python
...The library closely mirrors JAX’s stax API while extending it to return a kernel_fn alongside init_fn and apply_fn, enabling drop-in workflows for kernel computation. Kernel evaluation is highly optimized for speed and memory, and computations can be automatically distributed across accelerators with near-linear scaling. -
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ccgsl
Use Gnu Scientific Library as if it were writtem in C++.
The ccgsl provides simple C++ wrappers for the GNU Scientific Library. It uses Java-like shared-pointer classes in place of structs to avoid direct memory allocation/freeing and to work better with the STL. It lets you construct functions for optimisation, root-finding and the like from C++ member functions, making it easier to integrate with existing C++ code. It also provides C++ exceptions. -
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SimpleDCS is a Distributed Control System made easy - fully configurable both on hardware and a software level. Experimental stage (alpha)
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Earthstar
Storage for private, distributed, offline-first applications
Earthstar is a local-first, peer-to-peer protocol and library for building small-scale, decentralized apps like journals, messaging systems, or shared docs. It emphasizes ease of use, offline access, and privacy, requiring no servers or advanced networking setup. Earthstar works by syncing shared data between trusted peers using append-only feeds, making it a great fit for personal tools, cooperative apps, and communities. It runs in the browser or Node.js, and its APIs are designed to feel... -
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NuPIC
Numenta platform for intelligent computing
The Numenta Platform for Intelligent Computing (NuPIC) is a machine intelligence platform that implements the HTM learning algorithms. HTM is a detailed computational theory of the neocortex. At the core of HTM are time-based continuous learning algorithms that store and recall spatial and temporal patterns. NuPIC is suited to a variety of problems, particularly anomaly detection and prediction of streaming data sources. For more information, see numenta.org or the NuPIC Forum. If you want... -
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Algebird
Abstract Algebra for Scala
Algebird is Twitter’s Apache‑licensed Scala library providing abstract algebra data structures and algorithms, especially for online/streaming aggregation. It includes Monoid, Approximate, HyperLogLog, CMS, BloomFilter, Min/Max, Averaged Value types, supporting efficient distributed aggregation and approximate analytics. -
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Metaseq
Repo for external large-scale work
Metaseq is a flexible, high-performance framework for training and serving large-scale sequence models, such as language models, translation systems, and instruction-tuned LLMs. Built on top of PyTorch, it provides distributed training, model sharding, mixed-precision computation, and memory-efficient checkpointing to support models with hundreds of billions of parameters. The framework was used internally at Meta to train models like OPT (Open Pre-trained Transformer) and serves as a reference implementation for scaling transformer architectures efficiently across GPUs and nodes. ... -
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ParlAI
A framework for training and evaluating AI models
...The library integrates tightly with PyTorch and supports both generative and retrieval-augmented models, along with utilities for multitask training and model selection. A large set of built-in tasks and dataset loaders (with consistent preprocessing and metrics) makes it easy to compare methods under shared conditions. Tools for distributed training, mixed precision, and model zoos help scale experiments from laptops to multi-GPU clusters. -
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gpustat
A simple command-line utility for querying and monitoring GPU status
...It serves as a simplified alternative to the more verbose nvidia-smi tool by presenting key GPU metrics in a compact, developer-friendly format. The utility retrieves data through NVIDIA’s NVML bindings and displays information such as temperature, utilization, memory usage, and running processes directly in the terminal. Because it is easy to install via pip and requires minimal configuration, gpustat is widely used in machine learning environments, research clusters, and shared GPU servers. The tool also supports watch mode for continuous monitoring and JSON output for integration into automation pipelines. ... -
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GTB: Graphics Toolbox
C++ libraries and apps for computer graphics and data visualization
The Graphics Toolbox (GTB) is a collection of C++ libraries and apps for computer graphics and data visualization. Wagner Correa initially created GTB as part of his Ph.D. research at Princeton University in collaboration with Professor Claudio Silva and Dr. James Klosowski. Several other researchers later contributed to GTB (see the AUTHORS file). -
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Wasmer Python
WebAssembly runtime for Python
...It provides a Pythonic API for loading, compiling, and executing WebAssembly binaries while maintaining strong security guarantees through sandboxing. The library allows interaction with WebAssembly modules via imports, exports, and shared memory, enabling integration between Python code and compiled modules written in other languages. By leveraging the underlying Wasmer runtime, it delivers near-native execution performance while remaining platform-independent. Wasmer Python is particularly useful for embedding plugins, running untrusted code safely, or executing cross-language workloads in a consistent environment. ... -
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ftserver-android
Self-hosted search engine with web service to share discoveries with
Full Text Search Engine for Android Mobile, Windows Desktop, Linux Server. You can use the KeyWord to find relative WebSites, dig in important information, search answers. It has a web server inside, use it to share discoveries with people. App's Source Codes included, can be freely distributed over the internet in an unchanged or changed form. Check the file size after downloaded the Android APK. https://sourceforge.net/projects/ftserver-android/files/ The Code Repository... -
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FeatureBase
A crazy fast analytical database, built on bitmaps
FeatureBase is an Open Source, in-memory, MLAP engine providing SQL support, real-time updates, and analytical processing for your growing data. A binary tree index improves the performance & efficiency of analytical queries by reducing I/O operation. Simple or complex, FeatureBase knocks it out in milliseconds. On-the-fly updates and deletes. Operate instantly on your freshest data without the need for preaggregation. -
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Aurae
Distributed systems runtime daemon written in Rust
Aurae is on a mission to be the most loved and effective way of managing workloads on a node. Our hope is that by bringing a better set of controls to a node, we can unlock brilliant higher-order distributed systems in the future. Aurae deploys a memory-safe 1 runtime daemon, process manager, and PID-1 initialization system to remotely schedule processes, containers, and virtual machines as well as set node configurations (e.g., networking storage). Through system proportioning and enterprise workload isolation techniques, the Aurae open-source project can complement higher-order schedulers and control planes (such as Kubernetes) as Aurae supports the usage of multi-tenant workloads and enterprise identities all the way down to the socket layer. -
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Mars Framework
Mars is a tensor-based unified framework for large-scale data
Mars is a distributed computing framework designed to scale scientific computing and data science workloads across large clusters while preserving the familiar programming interfaces of common Python libraries. The project provides a tensor-based execution model that extends the capabilities of tools such as NumPy, pandas, and scikit-learn so that large datasets can be processed in parallel without rewriting code for distributed environments. -
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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
