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Extreme Computing

Lectures

Mondays and Thursdays 17:10-18:00.

The course is organised in multiple topics; you see an approximate order below. It may be the case that we go through a single topic per lecture, or we may devote more than one lectures to a single topic. We will try to stick to this plan, but it is OK if we deviate a bit. Lectures may be revised before they are delivered.

Schedule

Date	Topic	Resources	Lecturer
18.09.17	Administration and Overview	slides, code	Kenneth
21.09.17	Introduction to MapReduce	slides, code	Kenneth
25.09.17	Algorithms for MapReduce	slides, temp src	Kenneth
28.09.17	Hadoop Distributed File System	slides	Volker
02.10.17	Joins in MapReduce and Bloom filters / Replication and fault tolerance. (Part I)	slides	Kenneth
05.10.17	Replication and fault tolerance. (Part II)	slides, weak_sync src	Kenneth
09.10.17	Virtualization	slides	Volker
12.10.17	Beyond Map Reduce	slides	Kenneth
16.10.17	Stream Processing (Part I)	slides	Volker
19.10.17	Stream Processing (Part II)	slides	Volker
23.10.17	Stream Processing (Part III)	slides	Volker
26.10.17	Storage Services (Part I)	slides	Kenneth
30.10.17	Storage Services (Part II)		Kenneth
02.11.17	BASE versus ACID	slides	Kenneth
06.11.17	Guest Lecture: Building a high availability, low-latency global service that powers autocompletion across multiple end-points.	slides	Paul Baecke, Microsoft
09.11.17	CANCELLED
13.11.17	Networking and BitTorrents	slides	Volker
16.11.17	Building a Webservice and Exam review lecture (bring questions)	slides	Kenneth Volker
20.11.17	Guest Lecture: Apache Spark	no slides, but recording is available on Learn	Drew Bradley, Amazon
23.11.17	Guest Lecture, large scale computing	recording on learng	Intel
23.04.18	Second revision lecture	slides	Kenneth and Volker