Concurrency, Parallelism, Concurrent Programming, Parallel Programming, Multithreading.
independently. Since each thread has its own stack, the impact of one thread on others is limited while performing a specific task. Single Stack: Another approach is where all threads share the same stack. In this case, context switching between threads and accessing shared data can be more