Search Results for "high performance computing" - Page 2
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Showing 974 open source projects for "high performance computing"
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HexaPDF
Versatile PDF creation and manipulation for Ruby
HexaPDF is a pure Ruby library with an accompanying application for working with PDF files. It was designed with ease of use and performance in mind. It uses lazy loading and lazy computing when possible and tries to produce small PDF files by default. -
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gRPC-Go
The Go language implementation of gRPC. HTTP/2 based RPC
gRPC is a modern open source high performance Remote Procedure Call (RPC) framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking and authentication. It is also applicable in last mile of distributed computing to connect devices, mobile applications and browsers to backend services. -
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libfabric
AWS Libfabric
...Libfabric pre-built binaries may be available from other sources, such as Linux distributions. Elastic Fabric Adapter (EFA) is a network interface for Amazon EC2 instances that enables customers to run applications requiring high levels of inter-node communications at scale on AWS. Its custom-built operating system (OS) bypass hardware interface enhances the performance of inter-instance communications, which is critical to scaling these applications. With EFA, High Performance Computing (HPC) applications using the Message Passing Interface (MPI) and Machine Learning (ML) applications using NVIDIA Collective Communications Library (NCCL) can scale to thousands of CPUs or GPUs. ... -
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Codon
A high-performance, zero-overhead, extensible Python compiler
Codon is a high-performance Python compiler that compiles Python code to native machine code without any runtime overhead. Typical speedups over Python are on the order of 100x or more, on a single thread. Codon supports native multithreading which can lead to speedups many times higher still. The Codon framework is fully modular and extensible, allowing for the seamless integration of new modules, compiler optimizations, domain-specific languages and so on. -
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Chumsky
Write expressive, high-performance parsers with ease.
Chumsky is a parser library for Rust that focuses on expressiveness and performance. It provides developers with tools to write high-performance parsers using combinators, suitable for a wide range of parsing tasks. -
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GitHub Actions for DigitalOcean
GitHub Actions for DigitalOcean - doctl
...Powerful and production-ready, our cloud platform has the solutions that devs like you need to succeed, whether you're building world-changing AI apps, running a side project, or building a business. GPU solutions for everyone—novice to expert. Run training and inference, process large data sets and complex neural networks, and deploy high-performance computing clusters. -
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HTTP Kit
Clojure HTTP server/client library with WebSocket support
http-kit is a minimalist, event-driven, high-performance Clojure HTTP server/client library with WebSocket and asynchronous support. A simple, high-performance event-driven HTTP client+server for Clojure. HTTP Kit is an (almost) drop-in replacement for the standard Ring Jetty adapter. So you can use it with all your current libraries (e.g. Compojure) and middleware. Using an event-driven architecture like Nginx, HTTP-kit is very, very fast. -
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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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PyOpenCL
OpenCL integration for Python, plus shiny features
PyOpenCL is a Python wrapper for the OpenCL framework, providing seamless access to parallel computing on CPUs, GPUs, and other accelerators. It enables developers to harness the full power of heterogeneous computing directly from Python, combining Python’s ease of use with the performance benefits of OpenCL. PyOpenCL also includes convenient features for managing memory, compiling kernels, and interfacing with NumPy, making it a preferred choice in scientific computing, data analysis, and machine learning workflows that demand acceleration. -
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Graphile's Crystal Monorepo
Graphile's Crystal Monorepo; home to Grafast, PostGraphile
The next-generation planning and execution engine for GraphQL. Enables greater performance and efficiency via deeper integration into your existing Node.js or remote business logic, no matter the shape of your GraphQL schema. Grafast and PostGraphile V5 are in sponsors-only alpha; sponsor at any tier, then reach out for access. A quick-start project for full-stack application development in React, Node.js, GraphQL and PostgreSQL. At Graphile we love GraphQL so much we named ourself for our... -
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TimerOutputs.jl
Formatted output of timed sections in Julia
TimerOutputs.jl is a lightweight Julia package that provides a structured way to measure and report the execution time of different parts of code. It is particularly useful for performance profiling in scientific computing, allowing developers to annotate sections of code and generate readable timing summaries. TimerOutputs.jl supports nested timers and formatted output to both terminal and files, helping users easily identify bottlenecks in their programs. -
12
Volcano
A Cloud Native Batch System (Project under CNCF)
...These types of applications typically run on generalized domain frameworks like TensorFlow, Spark, Ray, PyTorch, MPI, etc, which Volcano integrates with. Volcano builds upon a decade and a half of experience running a wide variety of high-performance workloads at scale using several systems and platforms, combined with best-of-breed ideas and practices from the open-source community. Until June 2021, Volcano has been widely used around the world at a variety of industries such as Internet/Cloud/Finance/ Manufacturing/Medical. More than 20 companies or institutions are not only end users but also active contributors. -
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dperf
DPDK based 100Gbps network performance and load testing software
...Network performance testing for servers on cloud. Performance test of network package processing capability for NIC and CPU. Can be used as a high-performance HTTP server or client for load testing. -
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Rbatis
Rust High Performance compile-time ORM(RBSON based)
...Zero cost Dynamic SQL, implemented using (proc-macro,compile-time, Cow (Reduce unnecessary cloning)) techniques, don't need ONGL engine(mybatis) Free deserialization, Auto Deserialize to any struct(Option,Map,Vec...) High performance, Based on Future, with async_std/tokio, single threaded benchmark can easily achieve 200,000 QPS. logical deletes, pagination, py-like SQL and basic Mybatis functionalities. Supports logging, customizable logging based on log crate. 100% Safe Rust with #![forbid(unsafe_code)] enabled. rbatis/example (import into Clion!). ... -
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Webman
Probably the fastest PHP web framework in the world
Webman is a high-performance PHP framework designed for building fast and scalable web applications. It leverages PHP’s multi-process architecture to handle asynchronous HTTP requests efficiently, making it suitable for real-time applications, APIs, and microservices. Unlike traditional synchronous frameworks, Webman achieves low latency and high throughput by using asynchronous I/O, significantly improving performance in scenarios requiring concurrent connections. -
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LWJGL
Java library that enables cross-platform access to popular native APIs
LWJGL is a Java library that enables cross-platform access to popular native APIs useful in the development of graphics (OpenGL, Vulkan), audio (OpenAL) and parallel computing (OpenCL) applications. This access is direct and high-performance, yet also wrapped in a type-safe and user-friendly layer, appropriate for the Java ecosystem. LWJGL is an enabling technology and provides low-level access. It is not a framework and does not provide higher-level utilities than what the native libraries expose. As such, novice programmers are encouraged to try one of the frameworks or game engines that make use of LWJGL, before working directly with the library. -
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Odin
Odin Programming Language
Odin is a general-purpose programming language with distinct typing built for high performance, modern systems, and data-oriented programming. Odin has been designed for readability, scalability, and orthogonality of concepts. Simplicity is complicated to get right, clear is better than clever. Odin allows for the highest performance through low-level control over the memory layout, memory management, custom allocators and so much more. -
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CloudWeGo-Kitex
Go RPC framework with high-performance and strong-extensibility
CloudWeGo is an open-source middleware set launched by ByteDance that can be used to quickly build enterprise-class cloud native architectures. The common characteristics of CloudWeGo projects are high performance, high scalability, high reliability and focus on microservices communication and governance. Fully open source, community neutral, compatible with the community open source ecology, pluggable components, CloudWeGo components and other open source components can be integrated or replaced with each other. Contains the components needed to build an enterprise-class cloud-native architecture, allowing users to focus more on business development, meet the current and future needs of user scenarios, and experience the refinement of large-scale scenarios. ... -
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Jittor
Jittor is a high-performance deep learning framework
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators. The whole framework and meta-operators are compiled just in time. A powerful op compiler and tuner are integrated into Jittor. It allowed us to generate high-performance code specialized for your model. Jittor also contains a wealth of high-performance model libraries, including image recognition, detection, segmentation, generation, differentiable rendering, geometric learning, reinforcement learning, etc. ... -
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Bedrock Framework
High performance, low level networking APIs
Bedrock Framework is a set of low-level .NET networking APIs for building high-performance custom servers and clients. Its architecture focuses on transport-agnostic communication so protocols are not tightly coupled to a specific network mechanism. Builder APIs provide structured ways to configure client and server pipelines. The core package includes middleware and transports for sockets and in-memory communication. -
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React Native Camera Kit
A high performance, easy to use, rock solid camera library
A high-performance, easy-to-use, rock-solid, camera library for React Native apps. A temporary file is created. You must move this file to a permanent location (e.g. the app's 'Documents' folder) if you need it beyond the current session of the app as it may be deleted when the user leaves the app. You can move files by using a file systems library such as react-native-fs or expo-filesystem. -
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BemiDB
Postgres read replica optimized for analytics
BemiDB is a high-performance, key-value database designed for efficient data retrieval and storage, optimized for applications requiring fast read and write operations. -
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pREST
PostgreSQL REST, low-code, simplify and accelerate development
pREST (PostgreSQL REST), simplify and accelerate development, instant, realtime, high-performance on any Postgres application, existing or new. There is PostgREST written in Haskell, but keeping Haskell software in production is not an easy job. With this need pREST was born. Instant, realtime, high-performance on any Postgres application, existing or new. Add the JWT Authentication Middleware to implement authentication using JSON Web Token. -
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Zydis
Fast and lightweight x86/x86-64 disassembler and code generation lib
...Zydis also emphasizes portability, allowing it to run across multiple platforms and environments. Its efficiency makes it particularly useful in scenarios where large volumes of code need to be analyzed quickly. Overall, zydis serves as a reliable and high-performance tool for understanding and working with machine-level instructions. -
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Measurements.jl
Error propagation calculator and library for physical measurements
Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration. Physical measures are typically reported with an error, a quantification of the uncertainty of the accuracy of the measurement. Whenever you perform mathematical operations involving these quantities you have also to propagate the uncertainty, so that the resulting number will also have...
