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Kursteilnehmer-Bewertung und -Feedback für Parallel programming von École Polytechnique Fédérale de Lausanne

4.4
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1,806 Bewertungen
279 Bewertungen

Über den Kurs

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-Bewertungen

AL
23. Apr. 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
24. Aug. 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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201 - 225 von 267 Bewertungen für Parallel programming

von Vladislav A

8. Apr. 2020

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

von Patrik I

17. Dez. 2019

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

von Yiran W

18. Juli 2018

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

von Igor R d S

23. Okt. 2016

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

von Anton B

10. Dez. 2018

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

von Давиденко А Ю

19. März 2021

Interesting, but a lot of theory. The task of 4 weeks is very difficult.

von Jędrzej B

22. Mai 2020

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

von Kyoung-Seop P

24. Jan. 2017

What a difficult course it is!

Nevertheless, it was very helpful.

von Daniel D

29. Dez. 2016

Very well delivered course, more examples are needed though.

von Youwei Z

13. Sep. 2016

good in general, theory part on complexity is too tedious

von Dean T

3. Jan. 2019

Needs to be updated for more modern versions of Scala.

von Seoh C

4. Okt. 2017

unhelpful assignment instructions and test cases.

von Konstantin K

28. Okt. 2016

good overall, but sometimes overly complicated

von Shi Y

13. Sep. 2019

Some instruction is pretty confusing

von Ilya D

22. Juni 2016

Assignments weren't challenging.

von David P

25. Jan. 2017

Nice course! I learned a lot...

von rafael f o

9. Mai 2020

Spanish traduction please

von EL H C

14. Mai 2021

Nice but a bit involved

von Théophile G

17. Juli 2017

Pretty good course

von Pedro R

15. März 2017

Great course!

von c86jeff

22. Jan. 2017

learned a lot

von dh l

7. Dez. 2016

Thanks!

von Taewoo K

26. Apr. 2020

Good !

von Adam S

21. Juni 2016

Good learning materials, however the assignments are designed for compute science students rather than professional software developers as the most important part of the assignments is not parallel code, but it is algorithms. Yes, there is parallel code in the code of the assignments, but it is mostly written and your task is to implement the algorithm using this existing parallel code, while in my opinion it should be the other way around - you should implement parallel code and algorithms code should be already provided for you.

von Yevhenii S

4. Apr. 2020

This course is quite hard to understand with tasks especially at the end of week 4. I'm not sure that this is very useful now, cause no examples and explanation of current libs in scala for parallel programming, just couple of main classes or methods. From time to time a lot of good examples reg parallelism and associativity, but I'm not sure that we need this kind of deep math and algorithms here in current tasks. This course has academy level of understanding and not adapted for all kind of Software Engineers, etc.