SoSe 17: Cluster Computing
Barry Linnert
Additional information / Pre-requisites
Target group
- Computer Science Master students
Requirements
- Experience with computers and software as well as programing skills.
Language
- The course language is German (or English if requested).
- The exam will be formulated in German, but answers may be given in English, too.
Credits & Exams
The criteria for gaining credits are
- active participation in the tutorials: regular preparation of assignements & presentation of results in the tutorials
- passing of the exam
Website
https://www.mi.fu-berlin.de/w/SE/VorlesungClusterComputing
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Comments
Cluster computer are the prevailing type of high performance computers. They are built of custom off-the-shelf processor boards that are connected by a high speed interconnection network. Although usually locally integrated, they are conceptually distributed systems with local operating system images. Their enormous potential, however, can only be exploited, if program code and data are optimally distributed across the nodes. Cluster management mechanisms also need to be scalable to be employed in systems with thousands of nodes. The lecture course gives an overview of the architecture of cluster computers and the related management problems for which algorithmic solutions are presented. It runs in parallel to the integrated course Parallel Programming. Both complement each other and form the module Parallel Systems.
closeSuggested reading
- Heiss, H.-U.: Prozessorzuteilung in Parallelrechnern, BI-Verlag, Mannheim, 1996
- Andrews, G. A.: Foundations of Multithreaded, Parallel and Distributed Programming, Addison-Wesley, 2000
- Pfister, G.: In Search of Clusters 2nd ed., Prentice Hall, 1998
- Zomaya, A.: Parallel and distributed computing handbook, McGraw Gill, 1995
- Buyya, R.: High Performance Cluster Computing, Vol. 1+2, Prentice Hall, 1999
14 Class schedule
Additional appointments
Thu, 2017-07-20 12:00 - 14:00Regular appointments