263-2800-00L Design of Parallel and High-Performance Computing

Semester	Autumn Semester 2017
Lecturers	T. Hoefler, M. Püschel
Periodicity	yearly recurring course
Language of instruction	English

Courses

Number

Title

Hours

Lecturers

263-2800-00 V

Design of Parallel and High-Performance Computing

3 hrs

T. Hoefler, M. Püschel

263-2800-00 U

Design of Parallel and High-Performance Computing

2 hrs

T. Hoefler, M. Püschel

263-2800-00 A

Design of Parallel and High-Performance Computing

Project Work, no fixed presence required.

1 hrs

T. Hoefler, M. Püschel

Catalogue data

Abstract	Advanced topics in parallel / concurrent programming.
Learning objective	Understand concurrency paradigms and models from a higher perspective and acquire skills for designing, structuring and developing possibly large concurrent software systems. Become able to distinguish parallelism in problem space and in machine space. Become familiar with important technical concepts and with concurrency folklore.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits	7 credits
Examiners	T. Hoefler, M. Püschel
Type	session examination
Language of examination	English
Repetition	The performance assessment is only offered in the session after the course unit. Repetition only possible after re-enrolling.
Mode of examination	written 120 minutes
Additional information on mode of examination	50% of your grade is determined by project work and 50% is determined by a written exam; the exam is given during the official examination period.
Written aids	Keine
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials


Main link	Information
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

There are no additional restrictions for the registration.

Offered in

Programme	Section	Type
CAS in Computer Science	Focus Courses and Electives	W
Data Science Master	Core Electives	W
Computer Science TC	Specialized Courses in Respective Subject with Educational Focus	W
Computer Science Teaching Diploma	Spec. Courses in Resp. Subj. w/ Educ. Focus & Further Subj. Didactics	W
Computer Science Master	Core Focus Courses General Studies	W
Computer Science Master	Focus Core Courses Software Engineering	W
Computational Science and Engineering Bachelor	Electives	W
Computational Science and Engineering TC	Further Subject Didactics	W
Computational Science and Engineering Master	Electives	W