NFYK13012U Cluster Architectures and Computations
To introduce parallel computers as target platform for
applications that require either much memory or large computing
power, or both.
The purpose of the class is to provide the student an understanding
and practical experience with cluster-computing. Cluster-computing
is becoming known to the general scientific community, including
industry, and is increasingly becoming an alternative to classic
supercomputers. The class covers classic supercomputer
architectures and how these are programmed, as well as how clusters
may emulate these so that applications and programming-techniques
from different supercomputers may be used on clustercomputers. The
target is that students obtain a detailed understanding of the
problems that surround clustercomputers, as well as their known
solutions and the limitations of these solutions. Topics: Parallel
supercomputer architectures, advanced topics in CPU architecture,
communication technology and machine-topology. Parallel algorithms,
parallel programming and scientific computing. Programming using;
threads, parallel virtual machines, message passing interface,
remote memory and distributed shared memory.
Skills
At the course completion the student should be able to:
1. Design and implement parallel applications
2. Design a cluster-computer for a specific purpose
3. Use threads for shared memory architectures
4. Use Message Passing Interface
5. Manage vectorization of operations
Competences
The overall purpose of this course is to enable the student to
write high performance parallel applications on cluster-type
architectures. In addition the successful candidate will become
familiar with a number of classic parallel computer architectures
and a set of high performance scientific applications.
Knowledge
The students will understand the challenges in addressing
parallelization of applications and limitations of the available
hardware. In addition the students should have an ingrained skeptic
approach to commercially presented buzzwords and benchmarks and be
able to objectively select the best platform for a given
problem.
Notes and articles.
- Category
- Hours
- Lectures
- 28
- Preparation
- 178
- Total
- 206
As
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Continuing Education - click here!
- Credit
- 7,5 ECTS
- Type of assessment
- Continuous assessmentThe class is evaluated through a set of reports that is written throughout the class. The final grade is the average of the best 3 reports.
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
More internal examiners
- Re-exam
- Rexam: One week take home exam plus reevaluation of three reports from the ordinary exam, the student will have a chance to improve the three reports.
Criteria for exam assesment
See Skills.
Course information
- Language
- English
- Course code
- NFYK13012U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 3
- Schedule
- C (Mon 13-17 + Wednes 8-17)
- Course capacity
- No restriction to number of participants
- Continuing and further education
- Study board
- Study Board of Physics, Chemistry and Nanoscience
Contracting department
- The Niels Bohr Institute
Course responsibles
- Brian Vinter (6-887b808677845280747b407d8740767d)