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Parallel computing

Definition

Parallel computing refers to the use of multiple processors or computers working together simultaneously to solve a problem. It involves breaking down a task into smaller subtasks that can be executed concurrently, resulting in faster processing time.

Analogy

Imagine you and your friends are organizing a big event. Instead of doing all the work by yourself, you divide the tasks among your friends. Each person works on their assigned task independently, but together you finish everything much faster than if you were working alone.

Related terms

Distributed computing: Distributed computing is a type of parallel computing where multiple computers are connected over a network and work together to solve a problem. Each computer has its own memory and processor, and they communicate with each other to share data and coordinate their actions.

Speedup: Speedup refers to the improvement in performance achieved by using parallel computing compared to sequential (single-threaded) computing. It is measured as the ratio of the time taken for sequential execution to the time taken for parallel execution. A higher speedup indicates better efficiency in utilizing multiple processors or computers.

Concurrency: Concurrency is the ability of an operating system or programming language to execute multiple tasks or processes simultaneously. In parallel computing, concurrency allows different parts of a program or different subtasks to be executed at the same time, increasing overall efficiency and reducing waiting times.