Search Results for "cpu-x"
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Showing 286 open source projects for "cpu-x"
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.ignore 4.x
.ignore support plugin for IntelliJ IDEA
.ignore support plugin for IntelliJ IDEA . Entries inspection (duplicated, covered, unused, incorrect syntax, relative entries) with quick-fix actions. Comments and brackets support. Navigation to entries in Project view. Renaming entries from a dot-ignore file. Close opened ignored files action. Custom user templates with import/export features. -
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Unified Communication X
Communication framework for data-centric high-performance applications
...Collaboration between industry, laboratories, and academia to create an open-source, production-grade communication framework for data-centric and high-performance applications. Unified Communication X (UCX) is an award winning, optimized production proven communication framework for modern, high-bandwidth and low-latency networks. UCX exposes a set of abstract communication primitives which utilize the best of available hardware resources and offloads. These include RDMA (InfiniBand and RoCE), TCP, GPUs, shared Memory, and network atomic operations. ... -
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ServiceTalk
A networking framework that evolves with your application
ServiceTalk is a JVM network application framework with APIs tailored to specific protocols (e.g. HTTP/1.x, HTTP/2.x, etc…) and supports multiple programming paradigms. ServiceTalk is intended to provide a common and extensible networking abstraction on top of a lower-level networking framework (e.g. Netty). Netty is a great low-level networking framework, but when used for service-to-service communication it presents a few opportunities for improvement. -
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automaxprocs
Automatically set GOMAXPROCS to match Linux container CPU quota
Automatically set GOMAXPROCS to match Linux container CPU quota. All APIs are finalized, and no breaking changes will be made in the 1.x series of releases. Users of semver-aware dependency management systems should pin automaxprocs to ^1. When GOMAXPROCS is increased above the CPU quota, we see P50 decrease slightly but see significant increases to P99. We also see that the total RPS handled also decreases. -
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WalletConnect v2.x.x
WalletConnect Monorepo
Open protocol for connecting Wallets to Dapps. The communications protocol for web3, WalletConnect brings the ecosystem together by enabling wallets and apps to securely connect and interact. With WalletConnect, you can connect your wallet with hundreds of apps, opening the doors to a new world of web3 experiences. Uniswap. Swap, earn, and build on the leading decentralized crypto trading protocol. Foundation. Create, collect and sell NFTs.Install nodejs and npm. Install python3 and ensure... -
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WeakAuras
World of Warcraft addon that provides a powerful framework
...Preset and user-defined animations. Custom side-effects such as chat announcements or sounds. Grouping, which allows multiple displays to be positioned and configured at the same time. CPU optimizations such as conditional loading/unloading of displays, modularity, etc. -
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Django Lifecycle Hooks
Declarative model lifecycle hooks, an alternative to Signals
...However, my team often finds that Signals introduce unnecessary indirection and are at odds with Django's "fat models" approach. Django Lifecycle Hooks supports Python 3.7, 3.8 and 3.9, Django 2.0.x, 2.1.x, 2.2.x, 3.0.x, 3.1.x, and 3.2.x. For simple cases, you might always want something to happen at a certain point, such as after saving or before deleting a model instance. When a user is first created, you could process a thumbnail image in the background and send the user an email. -
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MNN
MNN is a blazing fast, lightweight deep learning framework
...Android platform, core so size is about 400KB, OpenCL so is about 400KB, Vulkan so is about 400KB. Supports hybrid computing on multiple devices. Currently supports CPU and GPU. -
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Alpine.js
A rugged, minimal framework for composing JavaScript behavior
...It’s often described as “jQuery for the modern web,” enabling you to sprinkle interactivity onto static HTML without needing a full SPA framework. You use directives like x-data, x-bind, x-on, x-if, and others to attach reactive state, event listeners, and conditional rendering straight in the DOM. Because Alpine is so minimal, it avoids virtual DOM overhead and focuses on being incremental and composable; you can use it for small interactive components inside traditional server-rendered pages. The project has grown a robust ecosystem (plugins, devtools, helper libraries) as people adopt it for micro-frontend patterns, admin panels, interactive widgets, and anything that benefits from having bits of reactivity without a heavy JavaScript framework. -
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MSA: Memory Sparse Attention
Trainable latent-memory framework for 100M-token contexts
...Document-wise rotary position encoding and top-k routing keep training and inference close to linear complexity. A tiered KV-cache design stores routing keys on GPU while larger content states can remain on CPU. Its Memory Parallel engine distributes scoring and transfers only selected memory back to the accelerator. Memory Interleave alternates retrieval, context expansion, and generation to improve multi-hop reasoning across distant segments. The project reports experiments extending from 16K to 100M tokens, including inference on two A800 GPUs. -
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Unicorn Engine
Unicorn CPU emulator framework (ARM, AArch64, M68K, Mips, Sparc
Unicorn is a lightweight multi-platform, multi-architecture CPU emulator framework. Highlight features. Multi-architectures: ARM, ARM64 (ARMv8), m68k, MIPS, PowerPC, RISC-V, S390x (SystemZ), SPARC, TriCore & x86 (include x86_64). Clean/simple/lightweight/intuitive architecture-neutral API. Implemented in pure C language, with bindings for Pharo, Crystal, Clojure, Visual Basic, Perl, Rust, Haskell, Ruby, Python, Java, Go, D, Lua, JavaScript, .NET, Delphi/Pascal & MSVC available. ... -
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AutomatedLab
Framework that lets you deploy complex labs on HyperV and Azure
...There are only two requirements you need to make sure: You need the DVD ISO images and a Hyper-V host or an Azure subscription. Requires Windows Management Framework 5+ (Windows). Requires Intel VT-x or AMD/V capable CPU, a decent amount of RAM, and low-latency high-throughput storage (No spinning disks please, as there are issues related to them). This solution supports setting up virtual machines with Windows 7, 2008 R2, 8 / 8.1 and 2012 / 2012 R2, 10 / 2016, 2019, and SQL Server 2008, 2008R2, 2012, 2014, 2016, 2017, 2019. -
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RabbitMQ .NET Client
RabbitMQ .NET client for .NET Standard 2.0+ and .NET 4.6.1+
...For example, the user may choose the Apache Public License 2.0 and include this client into a commercial product. Codebases that are licensed under the GPLv2 may choose GPLv2, and so on. 6.x versions of the library require .NET 4.6.1 or a .NET Core version implementing .NET Standard 2.0. They also introduce potentially breaking public API changes covered in the changelog. 4.x and 5.x versions of the library require .NET 4.5.1 or later or .NET Core. For .NET Core users, 2.0 is the minimum supported version for 5.x series. -
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Prometheus Redis Metrics Exporter
Prometheus Exporter for Redis Metrics. Supports Redis 2.x, 3.x, 4.x, 5
Prometheus exporter for Redis metrics. Supports Redis 2.x, 3.x, 4.x, 5.x, 6.x, and 7.x. To have instances in the drop-down as human readable names rather than IPs, it is suggested to use instance relabelling. The Prometheus docs have a very informative article on how multi-target exporters are intended to work. Run the exporter with the command line flag --redis.addr= so it won't try to access the local instance every time the /metrics endpoint is scraped. ... -
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TensorFlow Model Garden
Models and examples built with TensorFlow
...To improve the transparency and reproducibility of our models, training logs on TensorBoard.dev are also provided for models to the extent possible though not all models are suitable. A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU). -
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Netty-socketio
Socket.IO server implemented on Java
...YourKit is kindly supporting this open source project with its full-featured Java Profiler. YourKit, LLC is the creator of innovative and intelligent tools for profiling Java and .NET applications. CentOS, 1 CPU, 4GB RAM runned on VM, CPU 10%, Memory 15%, 6000 xhr-long polling sessions or 15000 websockets sessions, 4000 messages per second. -
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Piscina
A fast, efficient Node.js Worker Thread Pool implementation
Piscina is a fast, efficient Node.js worker thread pool implementation, designed to perform heavy CPU-bound tasks in parallel, thereby improving application performance. -
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neo.mjs
The application worker driven frontend framework
...While current libraries/frameworks like Angular, React or Vue provide reasonable performance for small or mostly static Apps, they lack when it comes to big Apps or complex Components. The problem is, that most Apps today run within a single thread (CPU), while each computer or mobile device has several CPUs available. Some Apps move expensive tasks into separate threads, but this is by far not enough. Using neo.mjs, most parts of the framework as well as the Apps which you create with it, run inside a separate thread. This architecture leaves the main thread mostly idle, so it can fully concentrate on its purpose. -
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EaseProbe
A simple, standalone, and lightweight tool
...Support the bastion/jump server. Connect to a given port using TLS and (optionally) validate for revoked or expired certificates. Run an SSH command on a remote host and check the CPU, Memory, and Disk usage. MySQL. Connect to a MySQL server and run the SHOW STATUS SQL. Redis. Connect to a Redis server and run the PING command. Memcache. Connect to a Memcache server and run the version command or validate a given key/value pair. MongoDB. Connect to a MongoDB server and perform a ping. Kafka. Connect to a Kafka server and perform a list of all topics. -
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tsParticles
Easily create highly customizable particles
Easily create highly customizable particles, confetti and fireworks animations and use them as animated backgrounds for your website. Ready to use components available for React.js, Vue.js (2.x and 3.x), Angular, Svelte, jQuery, Preact, Inferno, Solid, Riot and Web Components. A lightweight TypeScript library for creating particles. Dependency-free, browser ready and compatible with React.js, Vue.js (2.x and 3.x), Angular, Svelte, jQuery, Preact, Inferno, Riot.js, Solid.js, and Web Components. This library is available on the two most popular CDNs and it's easy and ready to use, if you were using particles.js it's even easier. ... -
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Catch2
A modern, C++-native, test framework for unit-tests, TDD and BDD
A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch). Catch2 is mainly a unit testing framework for C++, but it also provides basic micro-benchmarking features and simple BDD macros. Catch2's main advantage is that using it is both simple and natural. Test names do not have to be valid identifiers, assertions look like normal C++ boolean expressions, and sections provide a nice and local way to share set-up and tear-down code in tests. ... -
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fswatch
A cross-platform file change monitor with multiple backends
A cross-platform file change monitor with multiple backends: Apple OS X File System Events API, BSD kqueue, Solaris/Illumos File Events Notification, Linux inotify and a stat()-based backend. fswatch is a file change monitor that receives notifications when the contents of the specified files or directories are modified. fswatch implements four kinds of monitors. A monitor based on the File System Events API of Apple OS X. -
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tvm
Open deep learning compiler stack for cpu, gpu, etc.
Apache TVM is an open source machine learning compiler framework for CPUs, GPUs, and machine learning accelerators. It aims to enable machine learning engineers to optimize and run computations efficiently on any hardware backend. The vision of the Apache TVM Project is to host a diverse community of experts and practitioners in machine learning, compilers, and systems architecture to build an accessible, extensible, and automated open-source framework that optimizes current and emerging... -
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Ray
A unified framework for scalable computing
Modern workloads like deep learning and hyperparameter tuning are compute-intensive and require distributed or parallel execution. Ray makes it effortless to parallelize single machine code — go from a single CPU to multi-core, multi-GPU or multi-node with minimal code changes. Accelerate your PyTorch and Tensorflow workload with a more resource-efficient and flexible distributed execution framework powered by Ray. Accelerate your hyperparameter search workloads with Ray Tune. Find the best model and reduce training costs by using the latest optimization algorithms. ... -
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Phalcon
High performance, full-stack PHP framework delivered as a C extension
Its innovative architecture makes Phalcon the fastest PHP framework ever built! Developers do not need to know C to use Phalcon. Its functionality is exposed as PHP classes and interfaces under the Phalcon namespace, ready to be used. Zephir/C extensions are loaded together with PHP one time on the web server's daemon start process. Classes and functions provided by the extension are ready to use for any application. The code is compiled and isn't interpreted because it's already compiled to...
