Search Results for "high performance computing" - Page 15

Showing 2132 open source projects for "high performance computing"

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  • 1
    CUDA.jl

    CUDA.jl

    CUDA programming in Julia

    High-performance GPU programming in a high-level language. JuliaGPU is a GitHub organization created to unify the many packages for programming GPUs in Julia. With its high-level syntax and flexible compiler, Julia is well-positioned to productively program hardware accelerators like GPUs without sacrificing performance. The latest development version of CUDA.jl requires Julia 1.8 or higher.
    Downloads: 0 This Week
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  • 2
    Napkin Math

    Napkin Math

    Techniques and numbers for estimating system's performance

    Napkin Math is a technical reference project for estimating software system performance from first principles. It collects practical numbers, benchmark-style measurements, and mental models that help engineers make fast back-of-the-envelope calculations. The project is useful for questions like how much memory throughput matters, how long storage operations may take, what network latency to expect, or how expensive logging could become at high request volume.
    Downloads: 0 This Week
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  • 3
    Netty

    Netty

    An event-driven asynchronous network application framework

    Netty is an asynchronous, event-driven networking framework for the JVM that simplifies building high-performance clients and servers. It wraps Java NIO with a channel/handler pipeline model, enabling clean composition of codecs, TLS, and application logic with minimal overhead. Its ByteBuf abstractions, buffer pooling, and zero-copy techniques help reduce GC pressure and improve throughput under heavy I/O. Support for common protocols—HTTP/1.1, HTTP/2, WebSocket, and raw TCP/UDP—makes it a foundation for RPC frameworks, proxies, and messaging systems. ...
    Downloads: 6 This Week
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  • 4
    WireGuard VPN Server Auto Setup Script

    WireGuard VPN Server Auto Setup Script

    WireGuard VPN server installer for Ubuntu, Debian, AlmaLinux

    WireGuard VPN Server Auto Setup Script is an automated script designed to simplify the process of setting up a WireGuard VPN server on a wide range of Linux distributions. It enables users to deploy a modern, high-performance VPN solution in just a few minutes, even without prior experience. The script supports both fully automated installations and interactive setups, allowing customization of key parameters such as ports and DNS settings. It generates ready-to-use client configuration profiles, making it easy to connect devices across platforms including Windows, macOS, iOS, and Android. ...
    Downloads: 9 This Week
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  • 5
    MindNLP

    MindNLP

    Easy-to-use and high-performance NLP and LLM framework

    MindNLP is a natural language processing library built on the MindSpore framework, providing tools and models for various NLP tasks.
    Downloads: 0 This Week
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  • 6
    Superlinked

    Superlinked

    Superlinked is a Python framework for AI Engineers

    Superlinked is a Python framework designed for AI engineers to build high-performance search and recommendation applications that combine structured and unstructured data.
    Downloads: 0 This Week
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  • 7
    Smile

    Smile

    Statistical machine intelligence and learning engine

    ...Data scientists and developers can speak the same language now! Smile provides hundreds advanced algorithms with clean interface. Scala API also offers high-level operators that make it easy to build machine learning apps. And you can use it interactively from the shell, embedded in Scala. The most complete machine learning engine. Smile covers every aspect of machine learning.
    Downloads: 3 This Week
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  • 8
    JHipster

    JHipster

    Development platform to generate and deploy modern web apps

    ...Deployment support exists for AWS, Azure, Cloud Foundry, Google Cloud Platform, Heroku, and OpenShift. Our goal is to generate a complete and modern web app or microservice architecture, unifying: A high-performance and robust server-side stack with excellent test coverage; a sleek, modern, mobile-first UI with Angular, React, or Vue + Bootstrap for CSS; and a powerful workflow to build your application with Webpack and Maven or Gradle.
    Downloads: 3 This Week
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  • 9
    Smilei

    Smilei

    Particle-in-cell code for plasma simulation

    Smilei is an open-source electromagnetic Particle-In-Cell code for kinetic plasma simulation. It is designed for high-performance computing and can run on modern supercomputing architectures. The software is co-developed by physicists and computer scientists, which gives it both strong numerical physics capabilities and serious parallel-performance engineering. Smilei supports a wide range of plasma studies, including laser-plasma interaction, accelerator physics, space physics, and astrophysical plasmas. ...
    Downloads: 0 This Week
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  • 10
    Distributed Llama

    Distributed Llama

    Connect home devices into a powerful cluster to accelerate LLM

    Distributed Llama is an open-source project that enables users to connect multiple home devices into a powerful cluster to accelerate Large Language Model (LLM) inference. By leveraging tensor parallelism and high-speed synchronization over Ethernet, it allows for faster performance as more devices are added to the cluster. The system supports various operating systems, including Linux, macOS, and Windows, and is optimized for both ARM and x86_64 AVX2 CPUs.
    Downloads: 4 This Week
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  • 11
    how-to-optim-algorithm-in-cuda

    how-to-optim-algorithm-in-cuda

    How to optimize some algorithm in cuda

    how-to-optim-algorithm-in-cuda is an open educational repository focused on teaching developers how to optimize algorithms for high-performance execution on GPUs using CUDA. The project combines technical notes, code examples, and practical experiments that demonstrate how common computational kernels can be optimized to improve speed and memory efficiency. Instead of presenting only theoretical explanations, the repository includes hand-written CUDA implementations of fundamental operations such as reductions, element-wise computations, softmax, and attention mechanisms. ...
    Downloads: 0 This Week
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  • 12
    Discord.SortedSet

    Discord.SortedSet

    Elixir SortedSet backed by a Rust-based NIF

    SortedSet NIF is a performant and reliable sorted set data structure for Elixir, implemented in Rust using the Rustler crate to take advantage of native performance while maintaining seamless integration with the BEAM ecosystem. It provides ordering and uniqueness guarantees, with all terms stored according to Elixir’s built-in sorting rules. Internally, it uses a vector of vectors layout rather than a single vector to minimize costly reallocations, allowing efficient bucket pointer copying...
    Downloads: 0 This Week
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  • 13
    subfinder

    subfinder

    Fast passive subdomain enumeration tool

    Subfinder is a high-performance passive subdomain discovery tool built for fast and reliable asset enumeration. It focuses exclusively on collecting valid subdomains from a wide range of passive online sources, prioritizing accuracy and speed over intrusive scanning techniques. The project is widely used in bug bounty hunting, penetration testing, and attack surface mapping because it minimizes noise while producing actionable results.
    Downloads: 23 This Week
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  • 14
    GoldenCheetah

    GoldenCheetah

    Performance Software for Cyclists, Runners, Triathletes and Coaches

    Analyze using summary metrics like BikeStress, TRIMP, or RPE. Extract insight via models like Critical Power and W'bal. Track and predict performance using models like Banister and PMC. Optimize aerodynamics using Virtual Elevation. Train indoors with ANT and BTLE trainers. Upload and Download with many cloud services including Strava, Withings, and Today's Plan. Import and export data to and from a wide range of bike computers and file formats. Track body measures, and equipment use and set...
    Downloads: 14 This Week
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  • 15
    Grafana Pyroscope

    Grafana Pyroscope

    Continuous Profiling Platform. Debug performance issues

    Find and debug your most painful performance issues across code, infrastructure and CI/CD pipelines. Let you tag your data on the dimensions important for your organization. Allows you to store large volumes of high cardinality profiling data cheaply and efficiently. FlameQL enables custom queries to select and aggregate profiles quickly and efficiently for easy analysis.
    Downloads: 1 This Week
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  • 16
    The Bitdefender disassembler

    The Bitdefender disassembler

    bddisasm is a fast, lightweight, x86/x64 instruction decoder

    ...The project also includes a companion component called bdshemu, which provides a minimal instruction emulator capable of analyzing shellcode-like behavior in a controlled environment. Its performance is a key strength, achieving millions of decoded instructions per second while maintaining thread safety and deterministic behavior.
    Downloads: 1 This Week
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  • 17
    libsodium.js

    libsodium.js

    libsodium compiled to Webassembly and pure JavaScript

    libsodium.js is a JavaScript and WebAssembly port of the widely used libsodium cryptographic library, providing modern, high-level cryptographic functions for secure application development in web and Node.js environments. It exposes a comprehensive set of APIs for encryption, decryption, hashing, digital signatures, and key exchange, all designed to be safe and easy to use without requiring deep cryptographic expertise. The library leverages WebAssembly for improved performance, enabling near-native execution speeds within browsers and JavaScript runtimes. ...
    Downloads: 1 This Week
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  • 18
    Project X

    Project X

    Originates from XTLS protocol, providing a set of network tools

    ...The project supports multiple protocols such as VLESS, VMess, Shadowsocks, and Trojan, enabling flexible configuration for different networking scenarios. It is written primarily in Go and is optimized for high performance, making it suitable for both personal and large-scale deployments. Project X also integrates advanced features like REALITY and XTLS, which enhance encryption and disguise traffic to improve privacy and resistance to detection. The platform is highly modular, allowing developers to customize routing rules, transport layers, and proxy behaviors through configuration files or integrations.
    Downloads: 5 This Week
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  • 19
    Python Client For NLP Cloud

    Python Client For NLP Cloud

    NLP Cloud serves high performance pre-trained or custom models for NER

    NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, source code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. ...
    Downloads: 1 This Week
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  • 20
    Citus

    Citus

    Distributed PostgreSQL as an extension

    Citus is a PostgreSQL extension that transforms Postgres into a distributed database, so you can achieve high performance at any scale. With Citus, you extend your PostgreSQL database with new superpowers. Distributed tables are sharded across a cluster of PostgreSQL nodes to combine their CPU, memory, storage and I/O capacity. References tables are replicated to all nodes for joins and foreign keys from distributed tables and maximum read performance.
    Downloads: 1 This Week
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  • 21
    Osquery

    Osquery

    SQL operating system instrumentation and monitoring framework

    Osquery is an operating system instrumentation framework for Windows, OS X (macOS), Linux, and FreeBSD. The tools make low-level operating system analytics and monitoring both performant and intuitive. Osquery exposes an operating system as a high-performance relational database. This allows you to write SQL queries to explore operating system data. With osquery, SQL tables represent abstract concepts such as running processes, loaded kernel modules, open network connections, browser plugins, hardware events or file hashes.Osquery queries your devices like a database. Osquery uses basic SQL commands to leverage a relational data-model to describe a device. ...
    Downloads: 5 This Week
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  • 22
    DeepSeek-V3

    DeepSeek-V3

    Powerful AI language model (MoE) optimized for efficiency/performance

    ...It employs Multi-head Latent Attention (MLA) and the DeepSeekMoE architecture to enhance computational efficiency. The model introduces an auxiliary-loss-free load balancing strategy and a multi-token prediction training objective to boost performance. Trained on 14.8 trillion diverse, high-quality tokens, DeepSeek-V3 underwent supervised fine-tuning and reinforcement learning to fully realize its capabilities. Evaluations indicate that it outperforms other open-source models and rivals leading closed-source models, achieving this with a training duration of 55 days on 2,048 Nvidia H800 GPUs, costing approximately $5.58 million.
    Downloads: 49 This Week
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  • 23
    Taiga UI

    Taiga UI

    Angular UI Kit and components library for awesome people

    A modern Angular-based UI library with a focus on speed and modularity for complex applications.
    Downloads: 3 This Week
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  • 24
    FSearch

    FSearch

    A fast file search utility for Unix-like systems based on GTK3

    FSearch is a blazing-fast file search utility for Linux inspired by Windows’ Everything Search Engine, built to allow users to locate files and directories instantly by name rather than content. It achieves its high performance by indexing the filesystem and updating that index in real time, so as you create, rename, or delete files the results stay up to date without noticeable lag. The intuitive user interface supports incremental search — where results filter as you type — plus features like regular expressions, case-sensitivity options, and customizable indexing scopes, making it both powerful and accessible. ...
    Downloads: 21 This Week
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  • 25
    gemma.cpp

    gemma.cpp

    lightweight, standalone C++ inference engine for Google's Gemma models

    Gemma.cpp is a C++ implementation for running inference with Gemma models efficiently on CPUs and GPUs. Developed by Google, it allows running large language models (LLMs) like Gemma with minimal hardware, focusing on optimized performance and low latency. Gemma.cpp is intended for developers seeking to deploy LLMs in production environments without needing massive computational resources.
    Downloads: 2 This Week
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