With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread. In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm. We'll start the nuts and bolts how to effectively parallelize familiar collections operations, and we'll build up to parallel collections, a production-ready data parallel collections library available in the Scala standard library. Throughout, we'll apply these concepts through several hands-on examples that analyze real-world data, such as popular algorithms like k-means clustering.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Functional Programming in Scala
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- Data Structure
- Parallel Computing
- Data Parallelism
- Parallel Algorithm
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Probieren Sie Coursera for Business ausLehrplan - Was Sie in diesem Kurs lernen werden
Parallel Programming
Basic Task Parallel Algorithms
Data-Parallelism
Data Structures for Parallel Computing
Bewertungen
- 5 stars59,72 %
- 4 stars28,38 %
- 3 stars9,15 %
- 2 stars2,02 %
- 1 star0,71 %
Top-Bewertungen von PARALLELE PROGRAMMIERUNG
Very challenging course, the assignments are more about practising using parallel programming, would be better to design an assignment to implement the parallel programming.
Very good introduction to the topic. Examples and programming exercises were very good, although last assignment was visibly less polished than earlier ones.
The assignment could be optimized and avoid to be more academic since it may make student lost focus and spend too much time on the question itself rather than the parallel programming
Good course but scala understanding is required for this course. So please register for prior course in the certification task to easily complete this course.
Über den Spezialisierung Functional Programming in Scala

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