Concurrency Patterns and features found in Java, through multithreaded programming. Threads, Locks, Atomics and more.

A full stack, reactive architecture for general purpose programming. Algebraic and monadically composable primitives for concurrency, parallelism, event handling, transactions, multithreading, Web, and distributed computing with complete de-inversion of control (No callbacks, no blocking, pure state)

Java Concurrency/Multithreading Tutorial with Examples for Dummies

Hydra is a full-fledged framework for building web services, multithreaded and concurrent applications with SQL and KV DB support.

Dnsbruter is a powerful tool designed to perform active subdomain enumeration and discovery. It uses DNS resolution to efficiently bruteforce and identify potential subdomains for a given target domain. With its multithreading capability, users can control the concurrency level to speed up the process.

Concurrent collections and synchronization primitives for writing fast multithreaded and asynchronous code

A multithreaded discrete event simulation library in C, using POSIX pthreads for parallelized replications and stackful asymmetric coroutines for concurrent simulated processes inside each thread

:book: C++ Concurrency in Action - Practical Multithreading

Java Concurrency & Multithreading in Practice, published by Packt

Classes for multithreading that expand on java.util.concurrent, adding convenience, efficiency and new tools to multithreaded Java programs

A simple guide to learn C++ Multithreading and Concurrency. Theory, code examples and challenges.

This repository contains all the source code for the practical examples in the book "Delphi Multithreading: Threads, Concurrency, Parallelism and Asynchronous Programming", written by Cesar Romero.

Command line chat application for Linux platform. Nonblocking IO,Multithreading and IO multiplexing are used for the server part, so it has a high performance concurrent server.

Performant, Concurrent, simplified Stream API leveraging Project Loom's virtual threads for efficient concurrent processing. Optimized for multithreaded environments

Problems on multithreading and concurrency in Java and their solutions

The concurrent skip list is a multithreaded implementation of the skip list data structure where the insert, delete, get and range operations can be performed together across multiple threads. The implementation uses hand-over-hand locking to access nodes for writing and atomic variables while reading (no locks needed while reading).

A distributed key-value store based on the implementation of Raft consensus algorithm following the paper, which applies multithreading techniques to support concurrent requests.

Fully concurrent and multithreaded game engine for Clojure/JVM

Papers on concurrency vulnerability analysis, including multithreaded programs, multi-tasking programs and interrupt driven programs.

This repository is a comprehensive collection of my explorations and hands-on implementations of multithreading and concurrency concepts in Java. It includes code samples, theoretical notes, best practices, common pitfalls, and advanced topics.

📈 Multithreaded Stock Price Simulator built in C++ with Producer–Consumer concurrency, thread-safe queues, and a React frontend for real-time stock visualization.The frontend consumes this data over WebSockets and displays it with interactive charts.

Introduction Note: This edition of the book is the same as The Rust Programming Language available in print and ebook format from No Starch Press. Welcome to The Rust Programming Language, an introductory book about Rust. The Rust programming language helps you write faster, more reliable software. High-level ergonomics and low-level control are often at odds in programming language design; Rust challenges that conflict. Through balancing powerful technical capacity and a great developer experience, Rust gives you the option to control low-level details (such as memory usage) without all the hassle traditionally associated with such control. Who Rust Is For Rust is ideal for many people for a variety of reasons. Let’s look at a few of the most important groups. Teams of Developers Rust is proving to be a productive tool for collaborating among large teams of developers with varying levels of systems programming knowledge. Low-level code is prone to a variety of subtle bugs, which in most other languages can be caught only through extensive testing and careful code review by experienced developers. In Rust, the compiler plays a gatekeeper role by refusing to compile code with these elusive bugs, including concurrency bugs. By working alongside the compiler, the team can spend their time focusing on the program’s logic rather than chasing down bugs. Rust also brings contemporary developer tools to the systems programming world: Cargo, the included dependency manager and build tool, makes adding, compiling, and managing dependencies painless and consistent across the Rust ecosystem. Rustfmt ensures a consistent coding style across developers. The Rust Language Server powers Integrated Development Environment (IDE) integration for code completion and inline error messages. By using these and other tools in the Rust ecosystem, developers can be productive while writing systems-level code. Students Rust is for students and those who are interested in learning about systems concepts. Using Rust, many people have learned about topics like operating systems development. The community is very welcoming and happy to answer student questions. Through efforts such as this book, the Rust teams want to make systems concepts more accessible to more people, especially those new to programming. Companies Hundreds of companies, large and small, use Rust in production for a variety of tasks. Those tasks include command line tools, web services, DevOps tooling, embedded devices, audio and video analysis and transcoding, cryptocurrencies, bioinformatics, search engines, Internet of Things applications, machine learning, and even major parts of the Firefox web browser. Open Source Developers Rust is for people who want to build the Rust programming language, community, developer tools, and libraries. We’d love to have you contribute to the Rust language. People Who Value Speed and Stability Rust is for people who crave speed and stability in a language. By speed, we mean the speed of the programs that you can create with Rust and the speed at which Rust lets you write them. The Rust compiler’s checks ensure stability through feature additions and refactoring. This is in contrast to the brittle legacy code in languages without these checks, which developers are often afraid to modify. By striving for zero-cost abstractions, higher-level features that compile to lower-level code as fast as code written manually, Rust endeavors to make safe code be fast code as well. The Rust language hopes to support many other users as well; those mentioned here are merely some of the biggest stakeholders. Overall, Rust’s greatest ambition is to eliminate the trade-offs that programmers have accepted for decades by providing safety and productivity, speed and ergonomics. Give Rust a try and see if its choices work for you. Who This Book Is For This book assumes that you’ve written code in another programming language but doesn’t make any assumptions about which one. We’ve tried to make the material broadly accessible to those from a wide variety of programming backgrounds. We don’t spend a lot of time talking about what programming is or how to think about it. If you’re entirely new to programming, you would be better served by reading a book that specifically provides an introduction to programming. How to Use This Book In general, this book assumes that you’re reading it in sequence from front to back. Later chapters build on concepts in earlier chapters, and earlier chapters might not delve into details on a topic; we typically revisit the topic in a later chapter. You’ll find two kinds of chapters in this book: concept chapters and project chapters. In concept chapters, you’ll learn about an aspect of Rust. In project chapters, we’ll build small programs together, applying what you’ve learned so far. Chapters 2, 12, and 20 are project chapters; the rest are concept chapters. Chapter 1 explains how to install Rust, how to write a Hello, world! program, and how to use Cargo, Rust’s package manager and build tool. Chapter 2 is a hands-on introduction to the Rust language. Here we cover concepts at a high level, and later chapters will provide additional detail. If you want to get your hands dirty right away, Chapter 2 is the place for that. At first, you might even want to skip Chapter 3, which covers Rust features similar to those of other programming languages, and head straight to Chapter 4 to learn about Rust’s ownership system. However, if you’re a particularly meticulous learner who prefers to learn every detail before moving on to the next, you might want to skip Chapter 2 and go straight to Chapter 3, returning to Chapter 2 when you’d like to work on a project applying the details you’ve learned. Chapter 5 discusses structs and methods, and Chapter 6 covers enums, match expressions, and the if let control flow construct. You’ll use structs and enums to make custom types in Rust. In Chapter 7, you’ll learn about Rust’s module system and about privacy rules for organizing your code and its public Application Programming Interface (API). Chapter 8 discusses some common collection data structures that the standard library provides, such as vectors, strings, and hash maps. Chapter 9 explores Rust’s error-handling philosophy and techniques. Chapter 10 digs into generics, traits, and lifetimes, which give you the power to define code that applies to multiple types. Chapter 11 is all about testing, which even with Rust’s safety guarantees is necessary to ensure your program’s logic is correct. In Chapter 12, we’ll build our own implementation of a subset of functionality from the grep command line tool that searches for text within files. For this, we’ll use many of the concepts we discussed in the previous chapters. Chapter 13 explores closures and iterators: features of Rust that come from functional programming languages. In Chapter 14, we’ll examine Cargo in more depth and talk about best practices for sharing your libraries with others. Chapter 15 discusses smart pointers that the standard library provides and the traits that enable their functionality. In Chapter 16, we’ll walk through different models of concurrent programming and talk about how Rust helps you to program in multiple threads fearlessly. Chapter 17 looks at how Rust idioms compare to object-oriented programming principles you might be familiar with. Chapter 18 is a reference on patterns and pattern matching, which are powerful ways of expressing ideas throughout Rust programs. Chapter 19 contains a smorgasbord of advanced topics of interest, including unsafe Rust, macros, and more about lifetimes, traits, types, functions, and closures. In Chapter 20, we’ll complete a project in which we’ll implement a low-level multithreaded web server! Finally, some appendixes contain useful information about the language in a more reference-like format. Appendix A covers Rust’s keywords, Appendix B covers Rust’s operators and symbols, Appendix C covers derivable traits provided by the standard library, Appendix D covers some useful development tools, and Appendix E explains Rust editions. There is no wrong way to read this book: if you want to skip ahead, go for it! You might have to jump back to earlier chapters if you experience any confusion. But do whatever works for you. An important part of the process of learning Rust is learning how to read the error messages the compiler displays: these will guide you toward working code. As such, we’ll provide many examples that don’t compile along with the error message the compiler will show you in each situation. Know that if you enter and run a random example, it may not compile! Make sure you read the surrounding text to see whether the example you’re trying to run is meant to error. Ferris will also help you distinguish code that isn’t meant to work:

Comparative testing of concurrent multithreaded cache algorithms (LRU, MRU, MQ, ..)

An automated bot that buys, sells and trades cryptocurrencies on multiple marketplaces concurrently using multithreading, apis, and websockets. The base trading strategy this application will use is Arbitrage. The program will get the cheapest version of a cryptocurrency on all marketplaces defined within the application (currently Binance & Coinbase) and sell the asset on the marketplace which it sells for more on.

Stress tester for RTMP media servers,this tool is based on librtmp,It uses multithreading for multiple concurrent connections。

Atomic swift, swiftui, Synchronous Access Swift, Concurrency, Multithreading, Synchronization, Thread safe, Shared mutable state, Serial Dispatch Queue, NSLock, NSRecursiveLock, thread mutex, Concurrent Queue, Barrier, Semaphore, DispatchSemaphore, os_unfair_lock, Atomic Operations, Property Wrapper, Actors, Task Dependency, OperationQueue

Multithreading is a Java feature that allows concurrent execution of two or more parts of a program for maximum utilization of CPU. Each part of such program is called a thread. So, threads are light-weight processes within a process.

Examples of the basics of multithreading and concurrency package classes in Java language for beginners

Multithreading and concurrency utilities

Example Starterproject for NanoGUI. Has OpenGL Canvas with pan, zoom and rotate. Multithreading calculations concurrently to UI and variable passing between threads.