Search Results for "distributed shared memory" - Page 6
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Showing 295 open source projects for "distributed shared memory"
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ConceptBase.cc
A Database System for Metamodeling and Method Engineering
ConceptBase.cc is a multi-user deductive and object-oriented database system for metamodeling and method engineering. Includes a graphical client that builds upon the logic-based features of the ConceptBase.cc server. The data model is O-Telos. ConceptBase.cc can represent information at the data level (example data, traces of process executions etc.), the class level (schemas, process definitions etc.), the metaclass level (constructs of modeling languages), the meta-metaclass level... -
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JDiskCat
Multi-platform disk cataloguing utility written in java.
Easy-to-use multi-platform disk cataloguing program supporting local or removable media - drives and folders. Uses XML files as a data storage. It was originally created in 2010 to catalogue software compilations (also called freeware compilations) and CDs distributed with computer magazines. It was later improved to support any kind of disk and folder. It can be used to catalogue fragile disks like CDs, floppies, external hard drives, usb sticks, memory cards which are easy to damage. Cataloguing enables user to check what they contain without putting them physically into drive and avoid a possibility of a mechanical damage. ... -
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BMDFM
Binary Modular DataFlow Machine (BMDFM)
Binary Modular DataFlow Machine (BMDFM) is a software package that enables running an application in parallel on shared memory symmetric multiprocessing (SMP) computers using the multiple processors to speed up the execution of single applications. BMDFM automatically identifies and exploits parallelism due to the static and mainly dynamic scheduling of the dataflow instruction sequences derived from the formerly sequential program. The BMDFM dynamic scheduling subsystem performs a symmetric multiprocessing (SMP) emulation of a tagged-token dataflow machine to provide the transparent dataflow semantics for the applications. ... -
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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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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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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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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/ -
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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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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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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 -
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FairScale
PyTorch extensions for high performance and large scale training
...It introduced Fully Sharded Data Parallel (FSDP) style techniques that shard model parameters, gradients, and optimizer states across ranks to fit bigger models into the same memory budget. The library also provides pipeline parallelism, activation checkpointing, mixed precision, optimizer state sharding (OSS), and auto-wrapping policies that reduce boilerplate in complex distributed setups. Its components are modular, so teams can adopt just the sharding optimizer or the pipeline engine without rewriting their training loop. ...
