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Kursteilnehmer-Bewertung und -Feedback für Parallel programming von École Polytechnique Fédérale de Lausanne

4.4
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1,801 Bewertungen
•
279 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:

101 - 125 von 267 Bewertungen für Parallel programming

von Maurits v d S

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14. Okt. 2016

Last excercise was hard to get perfect

von CAI X

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22. Juli 2017

Good course though a bit challenging!

von Кушнаренко А Е

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23. Nov. 2020

very interesting course. i like it.

von Ho G B

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2. Apr. 2017

Thank you so much about this course

von Jon Z

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28. Juni 2017

Great course, thank you so much!!!

von Vivek G

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12. Aug. 2016

Organised and delivered elegantly.

von Boris R

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10. Mai 2017

Neat , fun, easy going, course

von Jinfu X

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24. Mai 2016

This is an excellent course!!!

von Stefan B

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20. Nov. 2017

great course, fun exercises

von Sherif H

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30. Jan. 2017

very awesome course !!!

von Rudolf S

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29. Sep. 2016

hard, weird but awesome

von Ruben A D

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15. Apr. 2020

Great! a lot to learn!

von Bennie K

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13. Feb. 2018

Very good, insightfull

von Yurii K

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7. Feb. 2018

quite hard, but useful

von Denis L

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10. Dez. 2018

Nice and complicated

von Parthasarathy G

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10. Apr. 2017

Enjoyed this course.

von Xiaowei X

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19. März 2017

simple to understand

von Deniss M

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30. Okt. 2016

Спасибо! Thank you!

von Fernando G

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14. Aug. 2016

Really good course!

von manuel B L

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21. Juli 2018

Excelente curso...

von David G

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19. Sep. 2017

I liked it a lot!

von Damien F

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3. Dez. 2016

Great material.

von Jakub T m G

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27. Juni 2017

great insights

von Gian U L

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5. Sep. 2016

Even more fun!

von Jose M N

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25. Apr. 2018

Great course!

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