Cluster Computing Sommersemester 2026

This is the homepage of the lecture Cluster Computing (Vorlesung) and its corresponding tutorial (Übung).

Description

Cluster computers 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. This lecture provides an overview of the architecture of cluster computers and the related management problems for which algorithmic solutions are presented.

Organizational Matters

See the entry in the course catalog.

Lecturer

• Barry Linnert (lecture + tutorial)

Target group

• Computer Science Master students

Requirements

• Experience with computers and software as well as programing skills.

Registration

KVV (course syllabus)

• All participants need to have registered in the KVV (course syllabus)
  • Subscribe to »Cluster Computing S26«.

Dates

• Lecture:
  • Thursday, 12–14, 051@T9
• Tutorial:
  • Wednesday, 12–14, K44@T9

• Exam:
  • room 146, @Takustr. 9

Day	Time	Participant
22.07.2026	9:30	MH
22.07.2026	10:00	EO
22.07.2026	10:30	MW
22.07.2026	11:00	LK
22.07.2026	11:30	LH
22.07.2026	12:00	MM
22.07.2026	12:30	XK
24.07.2026	10:00	AH
24.07.2026	10:30	JH
24.07.2026	11:00	FF
24.07.2026	11:30	TN
24.07.2026	12:00	LS
24.07.2026	12:30	PT
27.07.2026	10:00	JM
27.07.2026	10:30	PB
27.07.2026	11:00	MS
27.07.2026	11:30	PN
27.07.2026	12:00	TS

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

Differences to previous lecture courses

• 2017: new lecture course

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Content

Plan

The actual slides are in English.

Week	Topic	Slides as PDF	Slides as Video
1	Organization and Motivation	Organization	Organization, Motivation_a_00, Motivation_a_01, Motivation_b_00, Motivation_b_01
2	Introduction	Introduction	Introduction_00, Introduction_01
3	Architecture	Architecture	Architecture_00, Architecture_01
4	Performance Aspects	Performance Aspects	PerformanceAspects_00, PerformanceAspects_01
5	Allocation Problems in Parallel Computers	Allocation Problems	AllocationProblems_00, AllocationProblems_01
6	Basic Algorithms for Allocation Problems	Basic Algorithms	BasicAlgorithms_00, BasicAlgorithms_01
7	The Quantitative Partitioning Problem	Quantitative Partitioning Problem	QuantitativeAllocation_00, QuantitativeAllocation_01
8	Qualitative Partitioning	Qualitative Partitioning	QualitativePartitioning_00, QualitativePartitioning_01
9	The Mapping Problem	Mapping Problem	Mapping_00, Mapping_01
10	Load Balancing Problem	Load Balancing	Loadbalancing_00, Loadbalancing_01
11	Scheduling of dependent Threads	Scheduling	Scheduling_00, Scheduling_01

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