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学生对 洛桑联邦理工学院 提供的 并行编程 的评价和反馈

4.5
1,669 个评分
248 条评论

课程概述

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....

热门审阅

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.

筛选依据:

176 - 并行编程 的 200 个评论(共 236 个)

创建者 Marc K

Apr 10, 2018

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

创建者 shuo z

Jun 27, 2016

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

创建者 Nikola P

Nov 01, 2016

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

创建者 Chet W

Jan 29, 2018

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

创建者 Atsuya K

Feb 09, 2018

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

创建者 Alexey K

Jan 31, 2019

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

创建者 Patrik

Dec 17, 2019

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

创建者 Yiran W

Jul 19, 2018

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

创建者 Igor R d S

Oct 24, 2016

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

创建者 Anton B

Dec 10, 2018

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

创建者 Kyoung-Seop P

Jan 24, 2017

What a difficult course it is!

Nevertheless, it was very helpful.

创建者 Daniel D

Dec 29, 2016

Very well delivered course, more examples are needed though.

创建者 Youwei Z

Sep 13, 2016

good in general, theory part on complexity is too tedious

创建者 Dean T

Jan 04, 2019

Needs to be updated for more modern versions of Scala.

创建者 Seoh C

Oct 04, 2017

unhelpful assignment instructions and test cases.

创建者 Konstantin K

Oct 28, 2016

good overall, but sometimes overly complicated

创建者 Shi Y

Sep 13, 2019

Some instruction is pretty confusing

创建者 Ilya D

Jun 22, 2016

Assignments weren't challenging.

创建者 David P

Jan 25, 2017

Nice course! I learned a lot...

创建者 Théophile G

Jul 17, 2017

Pretty good course

创建者 Pedro R

Mar 15, 2017

Great course!

创建者 c86jeff

Jan 22, 2017

learned a lot

创建者 dh l

Dec 07, 2016

Thanks!

创建者 Steve S

Nov 16, 2017

This course was okay, but I feel it could use some work. For starters:

-I feel some of the longer assignments should be split up into several weeks (the Barnes-Hut one for example, since there's a lot to implement and it took a while to understand conceptually).

-I feel that some parts of the assignment specs could be more clear. For example, in the K-means assignment, it was mentioned to use the "square distance" between the means to determine if the algorithm had converged or not and I feel it would be useful to provide a mathematical formula here (or at least give the name of the formula i.e., Pythagorean).

-I wish there was more focus on making the assignments practical instead of something that's more sophisticated. For example, it would've been nice to have an assignment for week 4 that allowed us to practice implementing a variety of parallelizable data structures and focus on making them as efficient as possible.

创建者 Adam S

Jun 21, 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.