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Opiniones y comentarios de aprendices correspondientes a Parallel programming por parte de École Polytechnique Fédérale de Lausanne

4.4
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1,727 calificaciones
265 revisiones

Acerca del Curso

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....

Principales revisiones

AL

Apr 24, 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 25, 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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176 - 200 de 253 revisiones para Parallel programming

por Pascal A

Sep 23, 2016

Really a great course but with a heavy work for the duration. If others courses are followed in parallel, there's no time to loose

por Romain G

Jul 28, 2017

Very good course. Conc-list was brilliant.

Automated correction tool could do with more verbosity on failed test cases.

por Steven T

Sep 26, 2016

Presentations were presented well and the assignments were interestingly varied but quite challenging for the newbie.

por Alan A C

Oct 06, 2019

Interesting course but math part is too academic and boring. It'll be more useful if focused only in real use cases.

por Ville M

Jun 22, 2020

After a rather confusing and dissatisfying first week, the course picked up pace nicely in the latter weeks.

por joshua

Jun 09, 2017

Overall the course was really good. I think the first 2 courses explained things a little bit better though.

por Carlos C B C N

Apr 06, 2017

The course is good but is not focused on scala features. It is more generic parallel programming approach.

por Adianto W

Oct 24, 2016

Insightful, though I am not sure if in non R&D/Academia settings the knowledge here can easily be applied.

por Marc K

Apr 10, 2018

The homework assignments are a bit hard, they require a lot of concentration time to make some progress.

por shuo z

Jun 27, 2016

Good course. The assignments should focus on the parallel programming itself instead of language stuff.

por Nikola P

Nov 01, 2016

Very interesting course, I would recommend. I always wanted to learn about Scala parallel collections.

por Chet W

Jan 29, 2018

Good class but sometimes the exercises seemed unnecessarily complicated for explaining the concepts.

por Hong C

Apr 02, 2020

Lectures are very informative. I like all four assignments. They are well-designed and interesting.

por Atsuya K

Feb 09, 2018

Good topics and assignments. Wasn't as impressed by the course as the ones taught by Odersky.

por Alexey K

Jan 31, 2019

It would be great to add some popular frameworks and some basics of reactive programming

por Vladislav A

Apr 08, 2020

Totally appreciated. Unfortunately coped to find a small bug in testing system :)

por Patrik

Dec 17, 2019

The feedback from the instructors could be more timely. Otherwise a great course

por Yiran W

Jul 19, 2018

just one point to improve: some lib in Scala are not be told to install and use

por Igor R d S

Oct 24, 2016

Not as good as the first two courses from the specialization, but still good

por Anton B

Dec 10, 2018

it would be great to have a few more pointers how to debug code in parallel

por Jędrzej B

May 22, 2020

Not bad, but I was hoping for more in-depth course. Worth taking though.

por Kyoung-Seop P

Jan 24, 2017

What a difficult course it is!

Nevertheless, it was very helpful.

por Daniel D

Dec 29, 2016

Very well delivered course, more examples are needed though.

por Youwei Z

Sep 13, 2016

good in general, theory part on complexity is too tedious

por Dean T

Jan 04, 2019

Needs to be updated for more modern versions of Scala.