Chevron Left
Zurück zu Parallele Programmierung

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

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:



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.


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:

151 - 175 von 269 Bewertungen für Parallele Programmierung

von Luciano P

12. Sep. 2016

von Evaldas M

29. Okt. 2016

von Brad H

3. Dez. 2017

von Benjamin S

3. Nov. 2016

von Joaquin B

27. Okt. 2016

von Franklin P

12. Okt. 2016

von Nikogosov D

3. Juli 2017

von Nikolay M

9. Juni 2016

von Oleksiy P

21. Apr. 2017

von Luca D S

1. Dez. 2017

von Agustín B

19. Juni 2017

von Franco B

17. Nov. 2021

von Mike D

21. Aug. 2016

von Romanna K

1. Jan. 2017

von Alexey P

13. Sep. 2019

von Álvaro L L

24. Sep. 2016

von Sérgio T

16. Nov. 2016

von Valters V

25. Sep. 2016

von Eugene T (

10. Nov. 2016

von Viacheslav I

3. Juni 2017

von Stefano P

21. Nov. 2016

von Patrick L

28. Aug. 2016

von Mateusz K

2. Okt. 2016

von Kaushik N

7. Aug. 2016

von Jean-Baptiste D

21. Mai 2020