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

4.5
1,631 Bewertungen
244 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

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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101 - 125 von 232 Bewertungen für Parallel programming

von Artur R

May 24, 2018

This is one of the most dense and solid courses on Coursera and I really enjoyed tackling it

von murmelssonic

Aug 15, 2016

Good course. The only thing I would suggest to improve is in the Assignments, the error messages are not always sufficient information to recreate the bug that caused the error, so it is hard to correct the bug (since if you don't recreate the bug, you don't find the root cause). On the other hand it's understandable, that giving away too much info from the grader makes it easier to "workaround" the failed test without necessarily providing a good solution. Tricky trade-off.

Anyway, both the lecturers do a very good job of explaining fairly complex stuff in ways that non-computer-science students can understand.

von joe

Jan 22, 2017

Class was great but the last week's homework was incredibly difficult!

von Gao Y

Feb 14, 2017

Nice course!

von Evgeniy K

Feb 16, 2017

Good overall presentation of core algorithms and ideas

von Alexandr M

May 30, 2017

Problems of data structures for parallel computation are explained very well in this course.

von 张诺舟

Feb 21, 2017

very good course. It will be better if more reading material could be offered. The content in the lecture is a little bit hard to understand.

von Zhu L

Jul 18, 2017

Basically the lecture is more focused on the theoretical side of parallel programming, while the programming assignment on the more hands-on problem solving aspects.

I like that. Lectures shouldn't be too lengthy, the research and thinking are best left to the students themselves.

Some complain the programming assignments (especially the Barnes-Hut simulation) are too much trouble, I think it's OK.

Actually I wouldn't mind if it become even harder.

One suggestion, though. I think it would be helpful if the course can provide a summary of programming tips for Scala.

After all, many people come here with a mindset in imperative or OO programming. The conversion to FP can be a bit uneasy.

von Boris R

May 10, 2017

Neat , fun, easy going, course

von Bennie K

Feb 13, 2018

Very good, insightfull

von Janis R

Jun 18, 2016

Week 2 assignment was very interesting, thanks. Week 4 assignment was extremely hard to debug. Could you perhaps add more unit tests to BarnesHutSite?

von Roman

Jul 29, 2016

This is very interesting course that contains a lot of useful information related to parallel programming. Assignments are challenging enough and it is also interesting to tweak some code in assignments even after submitting.

von Eric L

Aug 14, 2016

A worthwhile course. I enjoyed the lectures a lot. Really good grounding on principles which can be applied in other languages/platforms in addition to Scala.

von Laerti P

Apr 25, 2017

Great course

von DAVID J A

Feb 12, 2018

Brilliant!!

von Seongsan K

Mar 03, 2018

I really loved how well organized the course was and how well the professors explain the concepts.

von 李帅鹏

Apr 30, 2019

Perfect! Learning Parallel Programming, I can learn more about Spark and Flink. Thanks

von Joël V

Apr 22, 2019

This course introduces an elegant and practical alternative to purely lock based parallelism by exploiting data & task parallelism intrinsic to many problems. It also emphasizes the mathematical requirements to use such tooling. The course slides/videos provide an good theoretical introduction with short code examples. The (fun ;-) )ctional exercises greatly echo the theoretical course with problems which appear almost effortless to parallelize.

von Sviridenko K

Mar 26, 2019

Amazing practice assignments! It was very interesting to solve them.

von Artem B

May 23, 2019

Great course with very entertaining exercises!

von Leonardo L e C

Jun 21, 2019

Very good!

von Santiago A

Jul 30, 2019

Unbelievable. This course is a must for those who are looking to work in depth with data parallel intensive applications like Spark and want to understand the mathematics underlying the parallel computing. Thank you very much Viktor and Aleksandar!

von G. U M

Aug 25, 2019

best course

von Sanjeev R

Aug 26, 2019

Excellent

von Rohan V

Nov 26, 2019

More emphasis on Parallel Data Structures is needed, course is relatively simple as compared to previous courses from same specialisation