Concepedia

Concept

parallel algorithms

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2.9K

Publications

152.2K

Citations

6K

Authors

1.3K

Institutions

About

Parallel algorithms is a class of computational methods specifically designed for execution on parallel computing architectures, where multiple processing units work concurrently to solve a problem. This academic concept encompasses the design, analysis, and optimization of algorithms that can decompose a task into independent or interacting subtasks, aiming to significantly reduce execution time for computationally intensive problems compared to sequential methods.

Top Authors

Rankings shown are based on concept H-Index.

GE

Carnegie Mellon University

JS

Carnegie Mellon University

PB

Carnegie Mellon University

DA

Georgia Institute of Technology

UV

University of Maryland, College Park

Top Institutions

Rankings shown are based on concept H-Index.

Pittsburgh, United States

IBM (United States)

Armonk, United States

University of California, Berkeley

Berkeley, United States