300+ algorithms, data structures, multi-threading and concurrency solutions to LeetCode problems with sample data.
-
Updated
Aug 21, 2022 - Java
300+ algorithms, data structures, multi-threading and concurrency solutions to LeetCode problems with sample data.
Java Library for run any JAR executable or command without know Java Threads Lib and without modify your exiting projects
Parallel Computation for Blockchain Transactions
Semester work on the subject of programming in Java
A program to explore the sleeping barber problem with two barbers. Exploring multi-threading with locks, conditions, and monitors to avoid race conditions.
Multithread Socket-based Java
Website Monitoring Tool: Spring Boot 5(react, webflux). Thymeleaf. Multi-module project. Ractive mongoDb. Lombok. Proxy. Multi-thread.
In this project i implemented some famous distributed algorithms in java, by simulating hosts and using udp messages between them. The algorithms implemented are: "Perfect Links", "Best-effort Broadcast", "Uniform Realiable Broadcast", FIFO Broadcast and Localized Causal Broadcast.
Multi-client-server instagram application using java and javafx socket programming
A simple version of dota2 game with java and javafx to play 1vs1
Using Elasticsearch to store news, company information for searching
This android application allows the user to type in the title of a Wikipedia document and retrieve it. In this application we are using RxJava and RxAndroid for multi-threading and view events binding, ButterKnifefor view binding, Retrofit for API calls, Gson for parsing JSON responses and more...
A thread safe counter in Java.
Set of Java concurrent programs used to evaluate CFLASH
Bachelor Computer Science. Demos for Distributed Systems to try them out.
Advertising Service serves advertisements to show you the particular ad that is most likely to appeal to you. Implemented AWS Web Services using AWS CloudFormation, AWS DynamoDB to create collection tables and store data using multi-threading.
1. Client-Server Communication: Understanding TCP, HTTP, and DNS for efficient data exchange. 2. Operating System Integration: Integrating sockets with OS for connection management. 3. Server Architecture: Comparing single-threaded vs. multithreaded servers for concurrency. 4. Thread Pools: Utilizing thread pools for optimized resource allocation
Program to retrieve, process and save data from Allociné (the French IMDB).
Add a description, image, and links to the multi-threading topic page so that developers can more easily learn about it.
To associate your repository with the multi-threading topic, visit your repo's landing page and select "manage topics."