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

4.4
stars
1,808 ratings
•
280 reviews

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: https://www.coursera.org/learn/progfun2....

Top reviews

AL
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.

RC
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.

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101 - 125 of 268 Reviews for Parallel programming

By Maurits v d S

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Oct 14, 2016

Last excercise was hard to get perfect

By CAI X

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Jul 22, 2017

Good course though a bit challenging!

By Кушнаренко А Е

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Nov 23, 2020

very interesting course. i like it.

By Ho G B

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Apr 2, 2017

Thank you so much about this course

By Jon Z

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Jun 28, 2017

Great course, thank you so much!!!

By Vivek G

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Aug 12, 2016

Organised and delivered elegantly.

By Boris R

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May 10, 2017

Neat , fun, easy going, course

By Jinfu X

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May 24, 2016

This is an excellent course!!!

By Stefan B

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Nov 20, 2017

great course, fun exercises

By Sherif H

•
Jan 30, 2017

very awesome course !!!

By Rudolf S

•
Sep 29, 2016

hard, weird but awesome

By Ruben A D

•
Apr 15, 2020

Great! a lot to learn!

By Bennie K

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Feb 13, 2018

Very good, insightfull

By Yurii K

•
Feb 7, 2018

quite hard, but useful

By Denis L

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Dec 10, 2018

Nice and complicated

By Parthasarathy G

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Apr 10, 2017

Enjoyed this course.

By Xiaowei X

•
Mar 19, 2017

simple to understand

By Deniss M

•
Oct 30, 2016

Спасибо! Thank you!

By Fernando G

•
Aug 14, 2016

Really good course!

By manuel B L

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Jul 21, 2018

Excelente curso...

By David G

•
Sep 19, 2017

I liked it a lot!

By Damien F

•
Dec 3, 2016

Great material.

By Jakub T m G

•
Jun 27, 2017

great insights

By Gian U L

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Sep 5, 2016

Even more fun!

By Jose M N

•
Apr 25, 2018

Great course!

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