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.
This course is part of the Functional Programming in Scala Specialization
About this Course
Skills you will gain
- Data Structure
- Parallel Computing
- Data Parallelism
- Parallel Algorithm
Syllabus - What you will learn from this course
Basic Task Parallel Algorithms
Data Structures for Parallel Computing
- 5 stars59.70%
- 4 stars28.39%
- 3 stars9.15%
- 2 stars2.02%
- 1 star0.71%
TOP REVIEWS FROM PARALLEL PROGRAMMING
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.
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.
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.
About the Functional Programming in Scala Specialization
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