Chevron Left
Вернуться к Параллельное программирование

Параллельное программирование, Федеральная политехническая школа Лозанны

4.5
Оценки: 1,525
Рецензии: 235

Об этом 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: https://www.coursera.org/learn/progfun2....

Лучшие рецензии

автор: 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.

автор: 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.

Фильтр по:

Рецензии: 223

автор: Artem Borin

May 23, 2019

Great course with very entertaining exercises!

автор: 李帅鹏

Apr 30, 2019

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

автор: Joël Vallone

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.

автор: Marcin Zabłocki

Apr 16, 2019

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

автор: Sviridenko Konstantin

Mar 26, 2019

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

автор: Šejla Čebirić

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.

автор: Alexey Korpukhnov

Jan 31, 2019

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

автор: Ilya Babich

Jan 20, 2019

The tasks are not well designed for online education

автор: Dean Thomas

Jan 04, 2019

Needs to be updated for more modern versions of Scala.

автор: Anton Bossenbroek

Dec 10, 2018

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