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.

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.