Chevron Left
Zurück zu Parallele Programmierung

Bewertung und Feedback des Lernenden für Parallele Programmierung von École Polytechnique Fédérale de Lausanne

4.4
Sterne
1,821 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.

Filtern nach:

76 - 100 von 269 Bewertungen für Parallele Programmierung

von Srdjan K

•

25. Okt. 2016

von Artur R

•

24. Mai 2018

von Alexandr M

•

30. Mai 2017

von Richard Q

•

23. Juli 2016

von 李帅

•

29. Apr. 2019

von Jose R

•

28. Sep. 2016

von Dmitriy B

•

8. Aug. 2017

von Konstantin S

•

7. Juli 2016

von yassine a

•

13. Nov. 2017

von Sudipto C

•

30. Juni 2020

von Jaeyeol S

•

13. Sep. 2016

von joe

•

22. Jan. 2017

von Hyun-joo K

•

26. Juni 2016

von Sviridenko K

•

26. März 2019

von Marek D

•

2. Aug. 2016

von Andronik

•

31. Juli 2016

von Eugene K

•

16. Feb. 2017

von Fernando

•

6. Juni 2018

von Shiyan C

•

25. März 2018

von Emiliyan T

•

9. Apr. 2017

von Roman M

•

23. Juni 2016

von hcy

•

14. März 2017

von Mike D

•

3. Nov. 2016

von Vikram K

•

29. Juni 2016

von Esa A

•

11. Apr. 2022

Coursera Footer

Starten oder fördern Sie Ihre Karriere

Beliebte Themen durchsuchen

Beliebte Kurse und Artikel

Abschluss oder Zertifikat online erwerben

Coursera

Community

Mehr

Überall lernen
Placeholder
Placeholder
Placeholder