Parallel Computing | Applications of Parallel Computers

UC Berkeley

Learn how to program parallel computers to efficiently solve complex problems in science and engineering. Covers a wide range of applications and assumes reasonable programming and mathematical skills.

University CoursesHigh-Performance Computing

Introduction

CS267 was originally designed to teach students how to program parallel computers to efficiently solve challenging problems in science and engineering, where very fast computers are required either to perform complex simulations or to analyze enormous datasets. CS267 is intended to be useful for students from many departments and with different backgrounds, although we will assume reasonable programming skills in a conventional (non-parallel) language, as well as enough mathematical skills to understand the problems and algorithmic solutions presented.

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Highlights

Teaches students how to program parallel computers to efficiently solve complex problems
Covers a wide range of applications in science and engineering
Assumes reasonable programming skills and mathematical background
Satisfies part of the course requirements for the Designated Emphasis in Computational Science and Engineering

Recommendation

This course is recommended for students from various departments who are interested in learning how to utilize parallel computing to tackle challenging problems in their fields. The course provides a solid foundation in parallel programming and exposes students to cutting-edge research in the field.

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