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.
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Compétences que vous acquerrez
- 5 stars59,74 %
- 4 stars28,39 %
- 3 stars9,17 %
- 2 stars1,97 %
- 1 star0,71 %
Meilleurs avis pour PROGRAMMATION PARALLÈLE
The course is fairly advanced and you would need to review the materials many times to understand the concept. The assignments are definitely fun and not as straightforward as other courses.
At its begining, this training doesn't look as polished and refined as the previous ones animated by Martin Odersky, but it quickly catch up with very efficient lessons and great practice exercises.
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
Very good introduction to the topic. Examples and programming exercises were very good, although last assignment was visibly less polished than earlier ones.
À propos du Spécialisation Functional Programming in Scala
Discover how to write elegant code that works the first time it is run.
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