Search Results for "distributed shared memory" - Page 9
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Showing 447 open source projects for "distributed shared memory"
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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... -
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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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LinLocalize for Windows is an application for localizing executables to other languages. It automates resource translation to great length. Application language can be switched over regitry. No code needs to be included in application. Delphi XE source code for MS-Windows is available on subversion. - Compiling LinLocalize with Delphi XE10 is working - Using LinLocalize for translating Delphi XE10 Projects is working - LinLocalize is an 32bit Application but can handle 64bit...
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BlackBelt - Gaian Library - AI Assisted
Communications, Knowledge Network; Gateway; Encyclopaedia
A high speed p2p Communications Knowledge Network and Encyclopaedia. Get Knowledge - Fast ! *** Distributed Autonomic-Performance-Tuning - A Goal-Seeking Swarming-Semiotic AI *** Video Conference Call. WASTE p2p Share / Distribute. Install Firefox or PaleMoon or WaterFox and then install us: Browse i2p sites. Browse Tor sites. Use the in-built Library to reach and consume content. Default installation starts your local/shared library with topics covered below: Privacy i2p Links Tor Links. ... -
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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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memcached-win
Memcached for Windows (Experimental)
High-performance, distributed memory object caching system. UNOFFICIAL EXPERIMENTAL BUILD. DO NOT USE IN PRODUCTION. -
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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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SIGnature by MAFII
SIGnature by MAFII is an ultra-lightweight System Information Gatherer
The data gathered includes: * General system information, such as the Manufacturer, Model, and Serial Number of the system * BIOS information such as the Name, Version, and Release Date of the currently installed BIOS * Operating System information such as Name, Version, Build, Installed Service Pack * Information about the installed CPU(s) * Detailed information about the system memory, including the total number of RAM slots available on the motherboard * Information about Disks, including Network Drives * Information about File Shares which are shared from the computer * Data about local and shared / network printers, including the share path and IP address / port used * Information about Network Adapter configurations * Detailed information about installed software, including Info/About URLs and Help / Support URLs where available (does not pull product keys). -
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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. -
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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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JumboMem is a fully user-level piece of software that gives programs access to memory spread across multiple computers. When a program exceeds the memory in one computer, it automatically spills over into the memory of the next computer.
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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.
