151-0116-10L  High Performance Computing for Science and Engineering (HPCSE) for Engineers II

SemesterSpring Semester 2019
LecturersP. Koumoutsakos, S. M. Martin
Periodicityyearly recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
151-0116-00 GHigh Performance Computing for Science and Engineering (HPCSE) II
Lecture: 13-15h
Exercises: 10-12h
The exercises begin in the second week of the semester.
4 hrs
Mon10:15-12:00HG G 3 »
13:15-15:00HG D 1.2 »
18.02.13:15-15:00HG D 1.1 »
25.02.13:15-15:00HG D 1.1 »
P. Koumoutsakos, S. M. Martin

Catalogue data

AbstractThis course focuses on programming methods and tools for parallel computing on multi and many-core architectures. Emphasis will be placed on practical and computational aspects of Uncertainty Quantification and Propagation including the implementation of relevant algorithms on HPC architectures.
ObjectiveThe course will teach
- programming models and tools for multi and many-core architectures
- fundamental concepts of Uncertainty Quantification and Propagation (UQ+P) for computational models of systems in Engineering and Life Sciences
ContentHigh Performance Computing:
- Advanced topics in shared-memory programming
- Advanced topics in MPI
- GPU architectures and CUDA programming

Uncertainty Quantification:
- Uncertainty quantification under parametric and non-parametric modeling uncertainty
- Bayesian inference with model class assessment
- Markov Chain Monte Carlo simulation
Lecture notesLink
Class notes, handouts
Literature- Class notes
- Introduction to High Performance Computing for Scientists and Engineers, G. Hager and G. Wellein
- CUDA by example, J. Sanders and E. Kandrot
- Data Analysis: A Bayesian Tutorial, Devinderjit Sivia

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersP. Koumoutsakos, S. M. Martin
Typeend-of-semester examination
Language of examinationEnglish
RepetitionThe performance assessment is only offered at the end after the course unit. Repetition only possible after re-enrolling.
Additional information on mode of examinationwritten 180 minutes

Learning materials

 
Main linkCourse web page
Only public learning materials are listed.

Groups

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Restrictions

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Offered in

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Mechanical Engineering MasterMicro & NanosystemsWInformation
Mechanical Engineering MasterBioengineeringWInformation
Micro- and Nanosystems MasterModelling and SimulationWInformation
Physics MasterGeneral ElectivesWInformation
Robotics, Systems and Control MasterCore CoursesWInformation
Process Engineering MasterCore CoursesWInformation