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Volver a programación paralela

Opiniones y comentarios de aprendices correspondientes a programación paralela por parte de École Polytechnique Fédérale de Lausanne

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Acerca del 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: https://www.coursera.org/learn/progfun2....

Principales reseñas

AL

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.

RC

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 revisiones para programación paralela

por Kinshuk V

16 de dic. 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 feb. de 2018

por Li Z

18 de jul. de 2017

por Rishi K

13 de sep. de 2016

por murmelssonic

15 de ago. de 2016

por Xiongchu W

6 de dic. de 2016

por Vital A

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por Joël V

22 de abr. de 2019

por Massimiliano D

9 de nov. de 2018

por Natalija I

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por Marek

29 de jun. de 2016

por Roberto S

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por VICTOR A

11 de ago. de 2018

por Šejla Č

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por Ilya B

20 de ene. 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 dic. de 2016