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Voltar para Programação paralela

Comentários e feedback de alunos de Programação paralela da instituição Escola Politécnica Federal de Lausana

1,821 classificações

Sobre o curso

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:

Melhores avaliações


23 de abr de 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 de ago de 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.

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1 — 25 de 269 Avaliações para o Programação paralela

por Kinshuk V

16 de dez de 2017

por Marcin Z

16 de abr de 2019

por Oliinyk V

2 de abr de 2018

por Leitner C S E S

21 de nov de 2017

por Steve S

16 de nov de 2017

por Samir S

19 de jul de 2020

por Hessam S M

8 de fev de 2018

por Li Z

18 de jul de 2017

por Rishi K

13 de set de 2016

por murmelssonic

15 de ago de 2016

por Xiongchu W

6 de dez de 2016

por Vital A

17 de fev de 2017

por Joël V

22 de abr de 2019

por Massimiliano D

9 de nov de 2018

por Natalija I

16 de mar de 2018

por Marek

29 de jun de 2016

por Roberto S

23 de jun de 2017


11 de ago de 2018

por Šejla Č

8 de mar de 2019

por Ilya B

20 de jan de 2019

por Yevhenii S

4 de abr de 2020

por Rachapong C

16 de jun de 2020

por Pishta Y

28 de nov de 2016

por Joshua S

15 de nov de 2018

por Tri N

12 de dez de 2016