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Вернуться к Параллельное программирование

Отзывы учащихся о курсе Параллельное программирование от партнера Федеральная политехническая школа Лозанны

Оценки: 1,773
Рецензии: 271

О курсе

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:

Лучшие рецензии

23 апр. 2018 г.

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.

24 авг. 2017 г.

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.

Фильтр по:

176–200 из 259 отзывов о курсе Параллельное программирование

автор: Rahul W

11 дек. 2016 г.

Good course but scala understanding is required for this course. So please register for prior course in the certification task to easily complete this course.

автор: Роман В

2 июня 2018 г.

Assignments are too easy compared to 2 previous courses. I've been asked lot less than been given. And did not grasp everything in the lectures at the end.

автор: Solodovnikov G

17 сент. 2016 г.

Good explanations, relevant assignments.

But too small, too little graded assignments as for subject. Be better if the assignments has less starter code.

автор: Zhenduo D

14 нояб. 2017 г.

I can be further improved if the class can touch on design patterns using Future and Actor, in addition to the data structure oriented materials.

автор: Enrique G R

19 авг. 2017 г.

Time to complete exercises might not be completely assessed. Some lectures seem to technical without any correspondence with real problems.

автор: Pascal A

23 сент. 2016 г.

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

автор: Romain G

28 июля 2017 г.

Very good course. Conc-list was brilliant.

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

автор: Steven T

26 сент. 2016 г.

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

автор: Alan A

6 окт. 2019 г.

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

автор: Ville M

22 июня 2020 г.

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

автор: joshua

9 июня 2017 г.

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

автор: Carlos C B

6 апр. 2017 г.

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

автор: Adianto W

24 окт. 2016 г.

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

автор: Marc K

9 апр. 2018 г.

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

автор: shuo z

27 июня 2016 г.

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

автор: Nikola P

1 нояб. 2016 г.

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

автор: Chet W

29 янв. 2018 г.

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

автор: Hong C

2 апр. 2020 г.

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

автор: Atsuya K

8 февр. 2018 г.

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

автор: Alexey K

31 янв. 2019 г.

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

автор: Vladislav A

8 апр. 2020 г.

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

автор: Patrik

17 дек. 2019 г.

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

автор: Yiran W

18 июля 2018 г.

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

автор: Igor R d S

23 окт. 2016 г.

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

автор: Anton B

10 дек. 2018 г.

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