Introduction to Parallel and Distributed Computing

Imagine you’re sitting at home, streaming your favourite videos on YouTube while millions of others across the globe are doing the same. Ever wondered how YouTube can handle such a massive load seamlessly? The answer lies in parallel and distributed computing. YouTube’s workload is distributed among servers worldwide, and within these servers, data is processed in parallel. This efficient distribution and parallel processing allow millions of users to enjoy YouTube’s content instantly, showcasing the power and effectiveness of parallel and distributed computing. The detailed tutorial on cloud computing can be found here. And, the tutorial on Parallel and Distributed Computing can be found here.

Distributed Computing

Distributed computing, also known as distributed processing, involves the utilization of multiple computers or nodes connected via a network to collaborate on solving computational tasks. These computers can be located anywhere geographically and are not necessarily centralized in a single location. Tasks are divided among these distributed nodes, allowing them to work concurrently and independently to achieve faster processing and improved performance. Distributed computing systems leverage the connectivity of networks to facilitate communication and coordination among the distributed nodes, enabling…