101-0691-00L  Towards Efficient and High-Performance Computing for Engineers

SemesterSpring Semester 2021
LecturersD. Kammer
Periodicityyearly recurring course
Language of instructionEnglish


101-0691-00 GTowards Efficient and High-Performance Computing for Engineers
Permission from lecturers required for all students.
2 hrs
Mon10-12HCI D 4 »
D. Kammer

Catalogue data

AbstractThis course is an introduction to various programming techniques and tools for the development of scientific simulations (using C++). It provides the practical and theoretical basis for high-performance computing (HPC) including data structure, testing, performance evaluation and parallelization. The course bridges the gap between introductory and advanced programming courses.
ObjectiveThis course provides an overview of programming techniques relevant for efficient and high-performance computing. It builds on introductory coding experience (e.g. matlab/python/java) and introduces the students to more advanced tools, specifically C++, external libraries, and supercomputers. The objective of this course is to introduce various approaches of good practice in developing your own code (for your research or engineering project) or using/modifying existing open-source programs. The course targets engineering students and seeks to provide a practical introduction towards performance-based computational simulation.
Content1. code versioning and DevOps lifecycle
2. introduction to C++
3. structured programming
4. object-oriented programming
5. code testing
6. code performance (design, data structure, evaluating, using external libraries)
7. code parallelization
8. running simulations on supercomputers
Lecture notesWill be provided during the lecture via moodle.
LiteratureWill be provided during the lecture.
Prerequisites / NoticeA good knowledge of MATLAB (or Python or java) is necessary for attending this course.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersD. Kammer
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examinationThe graded semester performance will be mostly based on a self-defined project (and presentation).

Learning materials

No public learning materials available.
Only public learning materials are listed.


No information on groups available.


GeneralPermission from lecturers required for all students
Places15 at the most
Waiting listuntil 02.03.2021

Offered in

Civil Engineering MasterDigitalisation Specific CoursesWInformation
Civil Engineering MasterMajor in Materials and MechanicsWInformation
Doctoral Department of Civil, Environmental and Geomatic EngineeringAdditional CoursesWInformation