Parallel Computing Models

Definition

Parallel computing models refer to the design and implementation of systems that can perform multiple tasks simultaneously, by dividing a larger problem into smaller sub-problems that can be solved concurrently. These models are used to improve performance and efficiency in computing systems.

Related terms

Distributed Computing:

This term refers to a type of parallel computing where different computers or nodes collaborate and communicate with each other over a network to solve a complex problem.

Thread-Level Parallelism (TLP): TLP is a parallel computing model where different threads within a single program execute concurrently on separate processors or cores.

Task-Level Parallelism (TSP): TSP is a parallel computing model where different independent tasks are executed simultaneously by dividing them among multiple processors or cores.