Massively Parallel Programming (Lecture)

Instructors: Nate Nystrom

Academic Programs: Master of Science in Informatics

Workload: 3 ECTS

Description

The ability to program parallel computers productively and efficiently is a critical skill in this era of concurrency. The course provides an introduction to modern parallel systems and their performance characteristics. It covers the fundamentals of parallel data structure design, analysis, and implementation; programming abstractions for concurrency; and techniques for reasoning about the behavior and performance of parallel programs. We study many parallel programs drawn from a variety of application domains and implement programs on a cluster using a modern parallel language, X10.

Professor

 
Area
Programming Languages

Create languages for humans to tell computers what to do. More...

 
Area
Computer Systems

Provide the platform on which to build and run applications. More...

 
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