Search Results for "high performance computing" - Page 8
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Showing 2131 open source projects for "high performance computing"
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Mitata
benchmark tooling that loves you
A high-performance JavaScript benchmarking tool designed for fast and accurate performance testing. -
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ALVR - Air Light VR
Stream VR games from your PC to your headset via Wi-Fi
ALVR (Air Light VR) is an open-source system that enables wireless virtual reality streaming by transmitting VR content from a PC to a standalone headset over a network connection. It allows users to run PC-based VR applications while using devices such as standalone headsets, effectively bridging the gap between high-performance desktop VR and portable hardware. The system works by encoding video output from the PC, streaming it over Wi-Fi, and decoding it on the headset in real time, while also transmitting input data such as head tracking and controller movements back to the PC. ALVR supports low-latency streaming through optimized encoding techniques and network configurations, making it suitable for interactive VR experiences. ... -
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Quill Library
Asynchronous Low Latency C++ Logging Library
Quill is a high-performance asynchronous logging library. It is particularly suited for performance-critical applications where every microsecond counts. -
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AWS SDK for C++
AWS SDK for C++
The AWS SDK for C++ is a modern, open-source library offering C++ applications native access to AWS services like S3, DynamoDB, Kinesis and more. It is built to support C++11 (and later) and is designed to be high-performance with minimal external dependencies, making it suitable for game engines, embedded systems, cross-platform clients and server applications. The SDK provides both high-level APIs (for common use) and low-level service client access (for full control) so developers can mix convenience and fine-tuned behavior as needed. It supports major platforms including Windows, macOS, and Linux, and uses CMake for builds so you can include only the services your application needs, helping reduce binary size and surface attack area. ... -
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Camellia
Camellia provide easy-to-use server toolkits
Camellia was originally developed as the basic architecture for netease-yunxin's servers, all the modules are running in netease-yunxin's online env. -
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Nuclio
High-Performance Serverless event and data processing platform
Nuclio is an open source and managed serverless platform used to minimize development and maintenance overhead and automate the deployment of data-science-based applications. Real-time performance running up to 400,000 function invocations per second. Portable across low laptops, edge, on-prem and multi-cloud deployments. The first serverless platform supporting GPUs for optimized utilization and sharing. Automated deployment to production in a few clicks from Jupyter notebook. Deploy one of... -
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MinecraftConsoles
A certain block game
MinecraftConsoles is an open-source project that revives and modernizes the legacy console edition of Minecraft by rebuilding it into a multi-platform, extensible codebase. It is based on the original Legacy Console Edition source and introduces numerous fixes and improvements to enhance stability, performance, and usability on modern systems. The project aims to serve as a foundation for further development such as modding, backports, and experimentation with features that were previously... -
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gRPC
High performance, open source universal RPC framework
gRPC is a C-based high performance remote procedure call (RPC) framework that can run in any environment. It efficiently connects services in and across data centers with plenty of support, and can also connect mobile devices and browser clients to backend services. Essentially, it makes it easier for you to create distributed applications and services. -
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Apache Seata
High-performance, open source distributed transaction solution
Seata is a distributed transaction solution for microservices that provides consistent, cross-service commits without forcing every team to adopt the same persistence model. Its architecture separates responsibilities into a global coordinator and per-service participants, so business services remain decoupled while transactions are orchestrated centrally. Multiple modes are supported—AT (automatic, SQL-based with undo logs), TCC (try-confirm-cancel), Saga (long-running compensation), and... -
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MagicAPI AI Gateway
Built for demanding AI workflows
The world's fastest AI Gateway proxy, written in Rust and optimized for maximum performance. This high-performance API gateway routes requests to various AI providers (OpenAI, GROQ) with streaming support, making it perfect for developers who need reliable and blazing-fast AI API access. -
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uvloop
Ultra fast asyncio event loop
uvloop is an ultra-fast, drop-in replacement of the built-in asyncio event loop. Together with asyncio and the power of async/await in Python 3.5, uvloop makes it easier than ever to write high-performance Python networking code. uvloop makes asyncio incredibly fast-- 2 to 4 times faster than nodejs, or any other Python asynchronous framework. The performance of asyncio when it is uvloop-based is almost comparable to that of Go programs. uvloop is written in Cython and is built on top of libuv, a high performance, fast and stable multiplatform asynchronous I/O library used by nodejs. -
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Browserless
The headless Chrome/Chromium driver on top of Puppeteer
...Browserless includes built-in optimizations such as request blocking, automatic retries, and sensible defaults that improve performance when processing web pages. It can be used as a standalone library, a command-line tool, or a hosted API service that scales browser instances on demand. -
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JetBrains Runtime
Runtime environment based on OpenJDK for running IntelliJ products
JetBrainsRuntime is the custom Java Runtime Environment (JRE) distribution maintained by JetBrains that enhances the standard OpenJDK to better support JetBrains products and provide a robust, optimized runtime for IDEs like IntelliJ IDEA, Rider, and other tools. It includes performance-tuned garbage collectors, desktop integration fixes, font rendering improvements, enhanced GTK support on Linux, and additional patches not available in stock JDK builds to ensure smoother, more stable behavior for large-scale IDE usage. These modifications are aimed at reducing resource consumption, improving windowing and high-DPI rendering, and delivering a consistent user experience across operating systems. ... -
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Turbo
Turbo is a framework built for LuaJIT 2
...But the framework contains generic nuts and bolts such as; an I/O loop, IO Stream classes, and customizable TCP (with SSL) server classes giving it value for everyone doing any kind of high-performance network application. -
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FlashAttention
Fast and memory-efficient exact attention
FlashAttention is a high-performance deep learning optimization library that reimplements the attention mechanism used in transformer models to be significantly faster and more memory-efficient than standard implementations. It achieves this by using IO-aware algorithms that minimize memory reads and writes, reducing the quadratic memory overhead typically associated with attention operations. -
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NautilusTrader
A high-performance algorithmic trading platform
NautilusTrader is an open-source, high-performance, production-grade algorithmic trading platform, provides quantitative traders with the ability to backtest portfolios of automated trading strategies on historical data with an event-driven engine, and also deploy those same strategies live, with no code changes. The platform is 'AI-first', designed to develop and deploy algorithmic trading strategies within a highly performant and robust Python native environment. -
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Ploomber
The fastest way to build data pipelines
...Ploomber automatically manages task dependencies and execution order, allowing complex pipelines with multiple stages to run reliably. The framework can deploy pipelines across different computing environments including Kubernetes, Airflow, AWS Batch, and high-performance computing clusters. It also helps teams maintain reproducibility by tracking changes in code and rerunning only outdated pipeline tasks. -
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Json.NET
A popular high-performance JSON framework for .NET
Serialize and deserialize any .NET object with Json.NET's powerful JSON serializer. Create, parse, query and modify JSON using Json.NET's JObject, JArray and JValue objects. Query JSON with an XPath-like syntax. 50% faster than DataContractJsonSerializer, and 250% faster than JavaScriptSerializer. Json.NET makes the simple easy and the complex possible. If you need it, Json.NET supports converting between XML and JSON. Json.NET is open source software and is completely free for commercial... -
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LFortran
Official main repository for LFortran
LFortran is a modern open-source (BSD licensed) interactive Fortran compiler built on top of LLVM. It can execute the user’s code interactively to allow exploratory work (much like Python, MATLAB or Julia) as well as compile binaries with the goal of running the user’s code on modern architectures such as multi-core CPUs and GPUs. LFortran is in alpha (it is expected to not work on third-party codes and users enthusiastically participate in bug reporting and fixing). -
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TokenSpeed
TokenSpeed is a speed-of-light LLM inference engine
TokenSpeed is an LLM inference engine designed for high-performance production agent workloads. It aims to combine TensorRT-LLM-level speed with vLLM-level usability, making it relevant for teams that need fast generation without sacrificing developer ergonomics. The project is focused on the specific needs of agentic systems, where latency, throughput, and efficient scheduling matter across many short or tool-heavy requests. -
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CUDA Core Compute Libraries (CCCL)
CUDA Core Compute Libraries
CCCL, or CUDA Core Compute Libraries, is a unified repository that consolidates several foundational CUDA C++ libraries into a single, cohesive development platform. It brings together Thrust, CUB, and libcudacxx, which collectively provide high-level abstractions, low-level performance primitives, and a CUDA-compatible standard library for GPU programming. The goal of CCCL is to simplify CUDA development by offering reusable building blocks that enable developers to write efficient and scalable parallel code without starting from scratch. Thrust provides a high-level interface for parallel algorithms, while CUB delivers highly optimized primitives for device-level operations, and libcudacxx ensures compatibility with modern C++ standards. ... -
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Text Embeddings Inference
High-performance inference server for text embeddings models API layer
Text Embeddings Inference is a high-performance server designed to serve text embedding models efficiently in production environments. It focuses on delivering fast and scalable embedding generation by leveraging optimized inference techniques and modern hardware acceleration. It is built to support transformer-based embedding models, making it suitable for tasks such as semantic search, clustering, and retrieval-augmented systems. -
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Dask
Parallel computing with task scheduling
Dask is a Python library for parallel and distributed computing, designed to scale analytics workloads from single machines to large clusters. It integrates with familiar tools like NumPy, Pandas, and scikit-learn while enabling execution across cores or nodes with minimal code changes. Dask excels at handling large datasets that don’t fit into memory and is widely used in data science, machine learning, and big data pipelines. -
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Diligent Engine
A modern cross-platform low-level graphics library
...It abstracts platform-specific graphics APIs like Direct3D, Vulkan, and OpenGL, providing a unified interface for graphics programming. Diligent Engine is designed for high performance and flexibility, making it suitable for a wide range of applications, from games to scientific simulations. -
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MirageOS
MirageOS is a library operating system that constructs unikernels
A programming framework for building type-safe, modular systems. MirageOS is a library operating system that constructs unikernels for secure, high-performance network applications across a variety of cloud computing and mobile platforms. Code can be developed on a normal OS such as Linux or macOS, and then compiled into a fully standalone, specialized unikernel that runs under a Xen or KVM hypervisor. This lets your services run more efficiently, securely and with finer control than with a full conventional software stack.