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:

26 - 50 of 269 Reviews for Parallel programming

By Ivan S

Mar 11, 2018

By Vikram B

Feb 5, 2021

By Matthew H

Nov 20, 2016

By Aliaksandr P

Jul 16, 2016

By Krishna A

Jun 12, 2017

By Lyman P H

Jan 22, 2021

By Santiago A

Jul 30, 2019

By Артем К

Oct 15, 2017

By Ignacio G S

May 24, 2021

By Evgeny P

Nov 13, 2016

By Stanislav T

Jun 26, 2018

By Roman

Jul 29, 2016

By Anton M

Apr 5, 2020

By Nicolas D

Aug 31, 2016

By William H

Aug 13, 2017

By Török E

Jan 4, 2017

By Jong H S

Aug 19, 2017

By Ashvin L

Apr 24, 2018

By ravi c

Aug 25, 2017

By viktor o

Dec 19, 2016

By Eric L

Aug 14, 2016

By Wiktor D

Sep 23, 2016

By Korntewin B

Jan 27, 2021

By Tony H

Oct 4, 2017

By Aleksander S

Nov 18, 2017