Course Overview

Students are introduced to parallel data processing, learn concepts of parallel data processing, learn about the power of parallel computing (acceleration, efficiency, redundancy, utilization) and program in parallel for shared memory and distributed memory using different program interfaces.

Learning Achievement

The goal is the acquisition of knowledge and skills of constructing parallel algorithms, and of implementing parallel computational methods of engineering practice on various contemporary parallel computers.

Competence

Course prerequisites

Modern Programming Concepts in Engineering

Grading Philosophy

Homework (Presentation) - 100%

Course schedule

Week1: Introduction Week2: followed by Week3 to the Final Week

Course type

Online Course Requirement

Instructor

Prof. Dr.-Ing. M. König , Dr.-Ing. K. Lehner, Assistants

Other information

Lecture with exercise

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