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Departments >> Faculty of Engineering >> Department of Computer Science >> Chair of Computer Science 3 (Hardware Architectures) >>

  Heterogeneous Computer Architectures (vhb) (HETRON-vhb)

Lecturers
Prof. Dr.-Ing. Dietmar Fey, Dr.-Ing. Marc Reichenbach, Akad. Rat

Details
Vorlesung
4 cred.h, benoteter certificate, ECTS studies, ECTS credits: 5, Sprache Englisch
Time and place: n.V.; comments on time and place: Online Kurs

Fields of study
WF CE-MA ab 1 (ECTS-Credits: 5)
WF INF-BA ab 1 (ECTS-Credits: 5)

Prerequisites / Organisational information
Whereas heterogeneous architectures and parallel computing has filled an academic niche in the past it has become now a commodity technique with the rising of multi-core pro- cessors and programmable graphic cards. Even FPGAs play a role hereby in a certain extent due to their increasing importance as accelerator hardware what is clearly observ- able in the scientific community. However, on one side parallel hardware like multi-core and GPUs are now available nearly for everybody and not only for a selected selection of people, who have access to a parallel supercomputer. On the other side the know- ledge about programming of this commodity hardware, and we mean here in particular hardware-orientated programming in order to squeeze out all offered GFlops and TFlops of such hardware, is still missing as well as the knowledge about the architecture details. To overcome this lack we offer this course HETRON.

!!! Wichtig: Die Anmeldung zu diesem Kurs erfolgt über die Webseite der Virtuellen Hochschule Bayern (VHB) unter http://www.vhb.org !!!

Contents
The e-learning course HETRON Online (Ein Online-Kurs für die Nutzung paralleler und heterogener Rechnerarchitekturen ? An online course for the exploitation of par- allel and heterogeneous computer architectures) focuses on two main topics which are closely related to each other. This concerns on one side the benefits of using different kinds of multi-core processors and parallel architectures built-up on base of these multi- core processors. These architectures differ among each other in the number and in the complexity of its single processing nodes. We distinguish between systems consisting of a large number of simpler, so called fine-grained, processor cores vs. systems con- sisting of a smaller number of more complex, so called coarse-grained, processor cores. On the other side we lay our focus on that we want to do with these different hetero- geneous parallel architectures, namely the execution of parallel programs. Of course this requires the use of parallel programming languages and environments, like CUDA or OpenMP. However, besides these questions of using the right syntax and the right compiler switches to optimize a parallel program it is a pre-requisite to understand how parallel computing really works. This refers (i) to the comprehension which basic mech- anisms of parallel computing exist, (ii) where are the limits of getting more performance with parallel computing and (iii) in what context stand these mechanisms to heteroge- neous architectures. In other words it handles the question which architecture is the best one for a certain parallelization technique. To teach these three topics, is one main goal we pursuit with the course HETRON, and of course, this more fundamental basics of heterogeneous and parallel computing have to be proven by means of concrete ap- plication examples to deepen the acquired knowledge about heterogeneous architectures and parallel computing principles.

ECTS information:
Credits: 5

Additional information
Keywords: Heterogeneous Computer Architectures, MPI, GPU, Cluster Computer, Tilera, FPGA
www: https://elearning.uni-regensburg.de/course/view.php?id=16774

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