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

4.4
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1,765 Bewertungen
270 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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251 - 258 von 258 Bewertungen für Parallel programming

von Robert S

14. Juli 2017

While some the material was useful, I was extremely disappointed with this course. The first two lectures were nearly intolerable to listen to, and the last assignment was very poorly designed and documented. I would not recommend this course to anyone unless it was significantly redesigned and updated.

von martin r

3. Sep. 2016

The approach in this course is incorrect, I think that will be a course with more concret examples, but is a course with a lot of teory that is not applied.

von Marco G

7. Nov. 2016

It's difficult to follow the content. The way it is organized could be greatly improved.

von Ivan K

9. Okt. 2016

Rather theoretical introduction to the basics of an interesting subject. Regretfully examples and assignments are frequently overly complex in areas which are unrelated to the subject. In addition, people who work with software development should expect to look further if they aim to add to their toolbox.

von Timm S

9. Okt. 2016

Some exercises need some improvement. Tests were not that helpful and the instruction to the last homework was quite bad (many open questions).

von Glendon K

17. Mai 2018

The code examples in this course are extremely convoluted. In particular, please don't put multiple statements per line...

von Mikko L

7. Aug. 2016

Academical with close to no real life value.

von Kwaśniewski P

9. Apr. 2017

to much math