Overview
Description
Parallel algorithms and architectures. Taxonomy of systems, SIMD, MIMD, systolic arrays. Parallel languages and programming paradigms. Applications using a multiple processor parallel network.
Requirements
Prerequisites
- with a “C” or better
CS 302
Original catalog text
Prerequisites
CS 302 with a “C” or better.
Units
Lecture3
Catalog Details
Offering
Offered: Every Spring - Odd Years
Terms
spring
Attributes
Standard
Learning Outcomes
- identify, formulate, analyze, and solve complex computing or engineering problems by applying principles of computing, engineering, science, and mathematics.
- design, implement, and evaluate a computing or engineering solution to meet a given set of requirements, with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.