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
Truly great course. The assignments are designed very well. The instructor and videos were excellent. I only wish there had been more student participation in the forum.
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.
Very challenging course, the assignments are more about practising using parallel programming, would be better to design an assignment to implement the parallel programming.
The course was really good. Got to learn so much about parallel programming with that course. The explanation level is very basic and any Computer Science related person can easily grasp the concepts
About the Functional Programming in Scala Specialization
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