🔒 A C++20 Library that provides mutex protected objects
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Updated
Aug 2, 2024 - C++
🔒 A C++20 Library that provides mutex protected objects
Unix OS, Process Creation, System Calls, Process Communication using Pipes and Signals, Shared Memory, Process Synchronization using POSIX Semaphores, Unix File System Manipulation,
C++ Threadsafe Singleton class using mutex and threadlock when accessing instance.
Text-Based Simulation For Multiple Hunters Hunting Down Multiple Ghosts, Their Behaviors Separated By Multiple Threads
Solved Vaccine distribution and stage allocation problems to get familiar with threads, semaphores, and mutex locks.
Synchronization technique in ARM processors using Exclusive Instructions and bit fields.
Python (3.7+) client library for https://distributed-lock.com SAAS
Managing a barbershop with multiple barbers and servicing multiple customers who enter the shop at different times.
a multithreaded proxy web server with LRU cache is being implemented in CPP programming language. strong understanding of OS related concepts is being used here.
A simulation project dealing with threads, mutexes and synchronization - from the famous dining philosopher's problem.
Using POSIX threads, mutex locks, and semaphores implement a solution that synchronizes the activities of the coordinator, tutors, and the students. Your program should work for any number of students, tutors, chairs and help sought. Allocate memory for data structures dynamically based on the input parameter(s).
Homework and Projects assigned in the CS342 - Operating Systems course in Bilkent University. (2018-2019)
Didactic project from Ecole-42. Two different solutions for an extended version of the famous 'Dining Philosophers' problem, the first as a multithreaded program ruled by mutexes, the second featuring multiple processes synchronised by semaphores.
Multiple read - single write mutex. Superseded by C++14 std::shared_timed_mutex and C++17 std::shared_mutex
My Solution to the two multi-threaded simulations in C.
In this exercise, you will explore parallel programming with threads and locks using a hash table. You should do this on a computer with multiple cores (verify by running ‘cat /proc/cpuinfo’).
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