Search Results for "distributed shared memory" - Page 8
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Showing 385 open source projects for "distributed shared memory"
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TeLOS Linux
humbly smart Operating System - Debian derivative
TeLOS is a new, universal Linux distribution, a carefully customized derivative of Debian bullseye / sid with KDE Plasma Desktop Environment featuring an unbiased selection of useful applications and services. You may find TeLOS Linux to be snappy, lightweight, ready for work or fun straight out of the box and easily configurable. This Operating System is freely distributed and honors free, open source software development. Nevertheless, some non-free proprietary packages are included to... -
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Wasmer Go
WebAssembly runtime for Go
...The runtime delivers near-native performance by leveraging Wasmer’s optimized execution engine while maintaining strong sandboxing guarantees for safe execution of untrusted code. Wasmer Go supports loading, compiling, and running WebAssembly modules, as well as interacting with them through imports, exports, and memory management. It relies on precompiled shared libraries and CGO to bridge between Go and the underlying Wasmer runtime, ensuring compatibility across multiple operating systems. -
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OpenTSDB
A scalable, distributed time series database
OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase. OpenTSDB was written to address a common need: store, index and serve metrics collected from computer systems (network gear, operating systems, applications) at a large scale, and make this data easily accessible and graphable. Store and serve massive amounts of time series data without losing granularity. -
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twemproxy
A fast, light-weight proxy for memcached and redis
twemproxy (pronounced "two-em-proxy"), aka nutcracker is a fast and lightweight proxy for memcached and redis protocol. It was built primarily to reduce the number of connections to the caching servers on the backend. This, together with protocol pipelining and sharding enables you to horizontally scale your distributed caching architecture. Fast and lightweight. Maintains persistent server connections. Keeps connection count on the backend caching servers low. Enables pipelining of requests... -
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SimSiam
PyTorch implementation of SimSiam
...The repository provides scripts for both unsupervised pre-training and linear evaluation, using a ResNet-50 backbone by default. It is compatible with multi-GPU distributed training and can be fine-tuned or transferred to downstream tasks like object detection following the same setup as MoCo. -
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Amadeus
Harmonious distributed data analysis in Rust
Amadeus is a high-performance, distributed data processing framework written in Rust, designed to offer an ergonomic and safe alternative to tools like Apache Spark. It provides both streaming and batch capabilities, allowing users to work with real-time and historical data at scale. Thanks to Rust’s memory safety and zero-cost abstractions, Amadeus delivers performance gains while reducing the complexity and bugs common in large-scale data pipelines. -
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direct-data-flow-lib
The library for HPC data exchange
The library for HPC data exchange in form of input and output channels transparent for users -
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rt-agents
Agent system for HPC real time applications
Agent system for HPC real time applications -
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TeLOS Linux Lite
smart Debian Lite KDE distribution
TeLOS Lite is TeLOS Linux minus the extra applications. TeLOS is a new, humbly proud Linux Debian distribution. It is a customized respin based on Debian bullseye/sid branch with the latest minimal KDE Plasma desktop environment on top. TeLOS Linux Lite is extremely lightweight and easily customizable. It is freely distributed and honors free, open source software. Nevertheless, some non-free proprietary packages are included to widely support common modern hardware. The most popular... -
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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MyCAT
Active, high-performance open source database middleware
...Regarded as MySQL cluster of enterprise database, MyCAT can take the place of expensive Oracle cluster. MyCAT is also a new type of database, which seems like a SQL Server integrated with the memory cache technology, NoSQL technology and HDFS big data. And as a new modern enterprise database product, MyCAT is combined with the traditional database and new distributed data warehouse. In a word, MyCAT is a fresh new middleware of database. MyCAT ’s objective is to smoothly migrate the current stand-alone database and applications to cloud side with low cost and to solve the bottleneck problem caused by the rapid growth of data storage and business scale. -
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OpenResty SystemTap Toolkit
Real-time analysis and diagnostics tools for OpenResty
The openresty-systemtap-toolkit is a collection of SystemTap-based scripts designed for real-time analysis and diagnostics of OpenResty and its core components, including NGINX, LuaJIT, and ngx_lua. It provides developers and system administrators with tools to trace performance bottlenecks, memory usage, request distribution, regex execution, Lua execution, and file I/O behaviors in production systems. The toolkit helps identify leaks, analyze TCP queues, inspect shared memory usage, and generate flame graphs for CPU and off-CPU profiling. Many scripts are specific to NGINX worker and master processes, while others are generic enough to be applied to any Linux user-space process. ... -
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TaxOnTree
A program for associating taxonomic information in a phylogenetic tree
TaxOnTree is a phylogenetic program for associating Taxonomic information in a phylogenetic tree. The output is a NEX format tree file configured to be opened in FigTree, that users can promptly color by any taxa or by the ancestrality shared by sequences with query. Input can be a Fasta formatted file to be used in a BLAST search or a list of sequences represented by their identifiers (UniProtAC or NCBI gi), if a cluster is already available. Also, a newick file produced with user software... -
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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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SINGA
A distributed deep learning platform
Apache SINGA is an Apache Top Level Project, focusing on distributed training of deep learning and machine learning models. Various example deep learning models are provided in SINGA repo on Github and on Google Colab. SINGA supports data parallel training across multiple GPUs (on a single node or across different nodes). SINGA supports various popular optimizers including stochastic gradient descent with momentum, Adam, RMSProp, and AdaGrad, etc. -
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BPF Performance Tools
Official repository for the BPF Performance Tools book
BPF Performance Tools Book is the companion repository for Brendan Gregg’s book on Linux performance analysis using eBPF and BCC tracing technologies. The project contains scripts, examples, and reference material that demonstrate how to inspect kernel behavior, application performance, CPU usage, networking activity, file systems, and system bottlenecks in real time. It serves as both an educational resource and a practical toolkit for Linux engineers, SREs, and performance analysts working... -
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BytePS
A high performance and generic framework for distributed DNN training
BytePS is a high-performance and generally distributed training framework. It supports TensorFlow, Keras, PyTorch, and MXNet, and can run on either TCP or RDMA networks. BytePS outperforms existing open-sourced distributed training frameworks by a large margin. For example, on BERT-large training, BytePS can achieve ~90% scaling efficiency with 256 GPUs (see below), which is much higher than Horovod+NCCL. -
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Image Super-Resolution (ISR)
Super-scale your images and run experiments with Residual Dense
The goal of this project is to upscale and improve the quality of low-resolution images. This project contains Keras implementations of different Residual Dense Networks for Single Image Super-Resolution (ISR) as well as scripts to train these networks using content and adversarial loss components. Docker scripts and Google Colab notebooks are available to carry training and prediction. Also, we provide scripts to facilitate training on the cloud with AWS and Nvidia-docker with only a few... -
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PyTorch-BigGraph
Generate embeddings from large-scale graph-structured data
PyTorch-BigGraph (PBG) is a system for learning embeddings on massive graphs—think billions of nodes and edges—using partitioning and distributed training to keep memory and compute tractable. It shards entities into partitions and buckets edges so that each training pass only touches a small slice of parameters, which drastically reduces peak RAM and enables horizontal scaling across machines. PBG supports multi-relation graphs (knowledge graphs) with relation-specific scoring functions, negative sampling strategies, and typed entities, making it suitable for link prediction and retrieval. ... -
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Texar
Toolkit for Machine Learning, Natural Language Processing
Texar is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar provides a library of easy-to-use ML modules and functionalities for composing whatever models and algorithms. The tool is designed for both researchers and practitioners for fast prototyping and experimentation. Texar was originally developed and is actively contributed by Petuum and CMU in collaboration with other institutes. A mirror of this... -
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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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...Download pages, repositories, tickets and wiki have been moved to https://github.com/oss-tsukuba/ Download: gfarm: https://github.com/oss-tsukuba/gfarm/releases gfarm2fs: https://github.com/oss-tsukuba/gfarm2fs/releases and more: https://github.com/oss-tsukuba/gfarm/wiki#download Repositories: gfarm: https://github.com/oss-tsukuba/gfarm gfarm2fs: https://github.com/oss-tsukuba/gfarm2fs and more: https://github.com/orgs/oss-tsukuba/repositories Tickets: gfarm: https://github.com/oss-tsukuba/gfarm/issues gfarm2fs: https://github.com/oss-tsukuba/gfarm2fs/issues Wiki: https://github.com/oss-tsukuba/gfarm/wiki Gfarm file system is a network shared file system that supports scalable I/O performance in distributed environment. It can federate local disks of network-connected PCs and compute nodes in several clusters.
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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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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.
