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Avis et commentaires pour l'étudiant pour Programmation parallèle par École polytechnique fédérale de Lausanne

4.5
1,527 notes
235 avis

À propos du cours

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....

Meilleurs avis

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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1 - 25 sur 224 Examens pour Programmation parallèle

par Marcin Z

Apr 16, 2019

First 3 weeks were cool, but the last week was somehow rushed and the assignment did not involve any parallel programming.

par Šejla Č

Mar 08, 2019

Plus: Very in-depth lectures, challenging assignments. Minus: The actual parallel code somewhat remains a black-box, assignments sometimes focus more on figuring out the algorithm logic which may not have anything to do with the course. Still I enjoyed it and learned a great deal.

par Ilya B

Jan 20, 2019

The tasks are not well designed for online education

par Oliinyk V

Apr 02, 2018

General idea of the course is very good. There are a few things to improve though:

Focus more on intuition behind algorithms rather than formal math

Build a solid foundation that would allow students to develop parallel algorithms themselves.

Practical assignments should focus exactly on this, rather than filling in missing pieces of code that are only tangentially related to the algorithm itself.

It would be helpful if the course provided minimal but solid basics and intuition behind parallel computations. The basics that would allow students to learn more advanced concepts themselves.

In any case, the course has a lot of value and the instructors are awesome.

par Leitner C S E S

Nov 21, 2017

Some of the practical examples are a bit tedious, because the bigger issues you sometimes need to solve seem to be implementing a random algorithm, instead of implementing its parallelization per se. That is, the support classes for parallelizing the algorithms are pre-coded for you, while you at times spend more time figuring out how the algorithm itself needs to be implemented with that rather than coming up with these parallelization semaphores (which I would have considered more interesting, at least). But the content covered is highly relevant and first class (the authors being world-leading experts on the topic), so if you are interested in parallel programming, this is course is a great choice.

par Leonardo L e C

Jun 21, 2019

Very good!

par Artem B

May 23, 2019

Great course with very entertaining exercises!

par 李帅鹏

Apr 30, 2019

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

par 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.

par Sviridenko K

Mar 26, 2019

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

par Alexey K

Jan 31, 2019

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

par Dean T

Jan 04, 2019

Needs to be updated for more modern versions of Scala.

par Anton B

Dec 10, 2018

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

par Denys L

Dec 10, 2018

Nice and complicated

par Bruno M

Dec 03, 2018

Very good introductory theoretical foundation for parallell algorithms, and background for

the Big Data Analysis with Scala and Spark course.

par Christoph K

Nov 27, 2018

Very interesting material, especially the prefix sum algorithms about, how to transform a sequential problem into a parallel problem.

par Simon

Nov 23, 2018

exercise are too heavy

par Joshua S

Nov 15, 2018

Like the other courses in this series, the lectures and exercises are excellent. Coming from a communications background, this course presented me with an opportunity to build on what I already knew but also offered new and interesting insights related to algorithm performance tuning. The course has a nice mix of theory and serviceable information. If you've never done any type of high-performance computing, this is a nice gentle introduction into the subject. The instructions took a lot of time to build fun and interesting exercises that are meticulously constructed.

par Massimiliano D

Nov 09, 2018

This course analyse the parallel programming from both practical and theoretical point of view. It gives the instruments both to understand the Scala library in its completeness and expressiveness in parallel computing, and the theoretical knowledge to understand what's "under the hood", to allow the student to understand whether the parallelism could be effective or not.

I greatly suggest this course to anyone interested in parallel computing.

par Paulo R d O C

Sep 13, 2018

Hard course, but gives good insights about the challenges and solutions for parallel programming.

par Josue G T I

Sep 03, 2018

Very interesting, with difficult examples and task. Spent a lot of time analyzing weekly assignments but it was totally worth.

par VICTOR A

Aug 11, 2018

All but the last assignment are interesting. A fair amount of the lectures are also good, even though some of them are too theoretical - the bad lectures are the ones that focus too much into proving mathematical properties, but thankfully there is just a few of those.

The last assignment is considerably larger than the other ones and requires a physics background (or interest to do research on your own). I think they could improve it by approaching the material independently with smaller exercises before applying them again into the larger application that is built as part of the assignment today.

par manuel B L

Jul 22, 2018

Excelente curso...

par Yiran W

Jul 19, 2018

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

par Stanislav T

Jun 26, 2018

The topic is well explained in the videos and the assignments are challenging and fun. I really enjoyed how they (the assignments) are usually put in a context, e.g. they are part of some project and you can see some outcome.