Chevron Left
Back to Parallel programming

Learner Reviews & Feedback for Parallel programming by École Polytechnique Fédérale de Lausanne

1,821 ratings

About the Course

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. Learning Outcomes. By the end of this course you will be able to: - reason about task and data parallel programs, - express common algorithms in a functional style and solve them in parallel, - competently microbenchmark parallel code, - write programs that effectively use parallel collections to achieve performance Recommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Functional Program Design in Scala:

Top reviews


Apr 23, 2018

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.


Aug 24, 2017

Superb study material. Learnt a lot during this course. I am not much into mathematical stuff, but got a hang of how to break problems and improve efficiency through parallelism.

Filter by:

251 - 269 of 269 Reviews for Parallel programming

By Evgenii S

Jun 24, 2018

By Lestar C

Jun 14, 2017

By Guomao X

Aug 17, 2016

By Simon

Nov 23, 2018

By Marcin H

Feb 27, 2020

By Anton K

Aug 5, 2016

By Oleg S

Feb 9, 2017

By Jarl A H

Feb 1, 2020

By Tony B

Jun 30, 2016

By Daniel Z

Feb 10, 2020

By antonin p

May 21, 2017

By Robert S

Jul 14, 2017

By Martin R

Sep 3, 2016

By Marco G

Nov 7, 2016

By Ivan K

Oct 9, 2016

By Timm S

Oct 9, 2016

By Glendon K

May 17, 2018

By Mikko L

Aug 7, 2016

By Kwaśniewski P

Apr 9, 2017