Search Results for "thread pool multithreading"
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Showing 77 open source projects for "thread pool multithreading"
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1
Folia
Fork of Paper which adds regionized multithreading
Folia is an experimental fork of the Paper Minecraft server software designed to improve scalability by introducing region-based multithreading. Traditional Minecraft servers run most game logic on a single main thread, which creates performance bottlenecks when many players are active simultaneously. Folia addresses this limitation by dividing the game world into independent regions composed of nearby chunks and assigning each region its own tick loop. These regions run concurrently on multiple threads within a thread pool, allowing server hardware with many CPU cores to process gameplay events in parallel. ... -
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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. -
3
CppServer
Fast and low latency asynchronous socket server & client C++ library
Ultra-fast and low latency asynchronous socket server & client C++ library with support TCP, SSL, UDP, HTTP, HTTPS, WebSocket protocols, and 10K connections problem solution. Cross platform (Linux, MacOS, Windows) Asynchronous communication. Supported CPU scalability designs: IO service per thread, thread pool. Supported transport protocols: TCP, SSL, UDP, UDP multicast. Supported Web protocols: HTTP, HTTPS, WebSocket, WebSocket secure. Supported Swagger OpenAPI iterative documentation. Supported message protocol based on Fast Binary Encoding. -
4
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. We actively develop Codon extensions for a number of domains such as bioinformatics and quantitative finance. -
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5
toBeBetterJavaer
An easy-to-understand and humorous Java study guide
...It combines original tutorials, learning roadmaps, reference material, and job-interview preparation in one organized repository. Core lessons cover syntax, object-oriented programming, collections, exceptions, I/O, networking, NIO, and modern Java features. Dedicated material explores multithreading, concurrency utilities, the Java Memory Model, locks, thread pools, and concurrent collections. JVM coverage includes bytecode, class loading, runtime memory, garbage collection, JIT compilation, and performance diagnosis. It also expands into Spring, databases, Redis, distributed systems, Linux, and other enterprise-development subjects. -
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Marl
A hybrid thread / fiber task scheduler written in C++ 11
marl is a lightweight C++ job system that schedules tasks on a pool of worker threads and runs them using cooperative fibers for high throughput. By decoupling “tasks” from OS threads, it minimizes context switches and lets workloads with fine-grained synchronization scale efficiently. The API is intentionally small—post tasks, wait on fences, and express dependencies—so you can retrofit it into existing engines without adopting a heavyweight framework. Under the hood, fibers allow tasks to... -
7
cocoyaxi
A go-style coroutine library in C++11 and more
cocoyaxi (co for short), is an elegant and efficient cross-platform C++ base library. It contains a series of high-quality base components, such as a go-style coroutine, coroutine-based network programming framework, command line, and config file parser, high-performance log library, unit testing framework, JSON library, etc. co has implemented a go-style coroutine, which has the following features. Multi-thread scheduling, the default number of threads is the number of system CPU cores.... -
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Spartan Engine
A game engine with an emphasis on real-time cutting-edge solutions
...It supports next-gen performance and image quality technologies including variable rate shading, dynamic resolution scaling, temporal anti-aliasing, and upscaling via XeSS 2 and FSR 3. Beyond rendering, SpartanEngine offers PhysX-powered physics, CPU and GPU profiling, a thread pool for parallel workloads. -
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JavaCore
JavaCore is a summary of experience with Java core technologies
JavaCore is a Chinese-language tutorial focused on the essential technologies and runtime concepts behind Java development. It begins with syntax, data types, object-oriented programming, methods, arrays, exceptions, generics, reflection, annotations, and strings. Advanced material covers regular expressions, encoding, encryption, internationalization, Java 8 features, and the service provider interface. Separate sections explain collections, streams, traditional I/O, NIO, serialization,... -
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HP Socket
High Performance TCP/UDP/HTTP communication component
...Client Based on Event-Select/POLL communication model, each component object creates a communication thread and manages a Socket connection. Client components are suitable for small-scale client scenarios. -
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JMX Exporter
A process for exposing JMX Beans via HTTP for Prometheus consumption
JMX to Prometheus exporter: a collector that can configurable scrape and expose mBeans of a JMX target. This exporter is intended to be run as a Java Agent, exposing a HTTP server and serving metrics of the local JVM. It can be also run as a standalone HTTP server and scrape remote JMX targets, but this has various disadvantages, such as being harder to configure and being unable to expose process metrics (e.g., memory and CPU usage). Running the exporter as a Java agent is strongly... -
12
Redigo
Go client for Redis
...Connections support one concurrent caller to the Receive method and one concurrent caller to the Send and Flush methods. No other concurrency is supported including concurrent calls to the Do and Close methods. For full concurrent access to Redis, use the thread-safe Pool to get, use and release a connection from within a goroutine. -
13
libuv
Cross-platform asynchronous I/O
libuv is a high-performance, multi-platform C library focusing on asynchronous I/O, originally developed for Node.js. It provides a consistent event-loop and I/O abstraction layer across a range of systems, making non-blocking operations portable and efficient. Full-featured event loop backed by epoll, kqueue, IOCP, event ports. Asynchronous TCP and UDP sockets. Asynchronous DNS resolution. Asynchronous file and file system operations. File system events, ANSI escape code-controlled TTY. IPC... -
14
core.async
Facilities for async programming and communication in Clojure
core.async is a Clojure library that brings asynchronous programming and communication to both Clojure and ClojureScript, enabling developers to write concurrent code using channels, go blocks, and CSP-style constructs rather than callbacks or threads. This project follows the version scheme MAJOR.MINOR.COMMITS where MAJOR and MINOR provide some relative indication of the size of the change, but do not follow semantic versioning. In general, all changes endeavor to be non-breaking (by moving... -
15
workerpool
Offload tasks to a pool of workers on node.js and in the browser
workerpool is a JavaScript library that simplifies the creation and management of worker threads and process pools for parallel task execution in Node.js and browser environments. The project provides an abstraction layer that allows developers to offload CPU-intensive operations to background workers without manually handling thread communication or lifecycle management. It supports task queuing, dynamic worker scaling, timeouts, transferable objects, and proxy-based APIs for interacting... -
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Cats Effect
The pure asynchronous runtime for Scala
Cats-Effect is a high-quality functional programming library for Scala that provides a principled way to represent and manage side effects, particularly asynchronous and concurrent computations. It is part of the broader Typelevel ecosystem and builds on the abstractions from Cats (such as Functor, Monad, etc.). The core abstraction is the IO type (or effect types more generally), which encodes effectful computations in a pure, referentially transparent way. Cats-Effect offers capabilities... -
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QuickImageViewer by icyhoty2k
A fast, GPU-accelerated image viewer for Windows.
...Single EXE, no installer(portable), no telemetry, sub-10 MB . GPU bitmap cache — decoded images live in VRAM, preloaded in both directions Background decode — worker thread pool; UI thread never blocks on IO Instant startup — process stays resident in RAM after first launch (hide to tray with Esc, recall instantly) Software fallback — GDI renderer for edge cases where Direct2D is unavailable -
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FortranBSD
FortranBSD is DragonflyBSD-based OS with built-in GNU Fortran
I'm excited to introduce the first release of FortranBSD, a new operating system designed specifically for Fortran developers who demand high-performance and seamless multithreading support. FortranBSD is based on DragonflyBSD which is an outstanding OS for HPC application and: 🔹 Superior parallel computing capabilities beat Linux/MS Windows over the performance. 🔹 Optimized for Fortran programming 🔹 Built on a robust, efficient foundation 🔹 Ideal for scientific computing, simulations,... -
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Transmittable ThreadLocal
Provides an enhanced InheritableThreadLocal
...ThreadLocalThe demand scenario is TransmittableThreadLocalthe potential demand scenario. If your business needs to "pass ThreadLocalvalues in the case of using thread pools and other execution components that will pool multiple threads ", it is the TransmittableThreadLocaltarget scenario. -
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Hippo4j
Powerful dynamic thread pool framework with monitoring/alarm functions
Dynamically observable thread pool framework to improve online operation guarantee capabilities for business systems. Dynamically change thread pool parameters when the application is running, including not limited to core, maximum thread, blocking queue size, and rejection strategy, etc., and support different node thread pool configuration differentiation under the application cluster. -
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MultiThreaded TFTP Server Open Source Freeware Windows/Unix for PXEBOOT, firmware load, support tsize, blksize, timeout Server Port Ranges, Block Number Rollover for Large Files. Runs as Service/daemon. Single Port version also available. Download
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Redis Client for Crystal
Full featured Redis client for Crystal
A Redis client for the Crystal programming language. This Redis instance can be shared across fibers and accepts the same Redis commands as the Redis class. It automatically allocates and frees connections from/to the pool, per command. -
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DataBlocks
A simple key value java server to store file using REST API
A simple key value java server to store file using REST API, it uses the thread pool model, and manages the authentication and authorization -
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Effil
Multithreading support for Lua
Effil is a multithreading library for Lua. It allows the spawn of native threads and safe data exchange. Effil has been designed to provide a clear and simple API for Lua developers. Effil supports Lua 5.1, 5.2, 5.3, and LuaJIT. Requires C++14 compiler compliance. Tested with GCC 4.9+, clang 3.8, and Visual Studio 2015. -
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XAOP
A lghtweight AOP(Android) application framework
...Supports quick click slices @SingleClick, and supports setting the time interval of quick clicks. Supports dynamic application for permission slices @Permission, and supports custom response actions. Support for main thread slicing @MainThread. Supports IO thread slicing @IOThreadand multiple thread pool types. Supports log printing slices @DebugLog, and supports custom logging methods. Supports memory cache slices @MemoryCacheand supports setting the cache size. Support disk cache slicing @DiskCache, support custom disk cache, cache validity time, etc.
