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Opiniones y comentarios de aprendices correspondientes a Parallel programming por parte de École Polytechnique Fédérale de Lausanne

4.4
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1,690 calificaciones
253 revisiones

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 revisiones

AL

Apr 24, 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

Aug 25, 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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101 - 125 de 241 revisiones para Parallel programming

por Bennie K

Feb 13, 2018

Very good, insightfull

por Yurii K

Feb 07, 2018

quite hard, but useful

por Denys L

Dec 10, 2018

Nice and complicated

por Parthasarathy G

Apr 10, 2017

Enjoyed this course.

por Xiaowei X

Mar 20, 2017

simple to understand

por Deniss M

Oct 30, 2016

Спасибо! Thank you!

por Fernando G

Aug 14, 2016

Really good course!

por manuel B L

Jul 22, 2018

Excelente curso...

por David G

Sep 19, 2017

I liked it a lot!

por Damien F

Dec 03, 2016

Great material.

por Jakub T m G

Jun 27, 2017

great insights

por Gian U L

Sep 05, 2016

Even more fun!

por Jose M N F

Apr 25, 2018

Great course!

por Yevgeny E

Jan 20, 2018

Great course.

por Mykola S

Jul 22, 2017

Great course!

por Kovalenko S

Jul 20, 2017

Классный курс

por Hulevskyi D

Jun 20, 2016

Great course!

por Laerti P

Apr 25, 2017

Great course

por Gao Y

Feb 14, 2017

Nice course!

por G. U M

Aug 25, 2019

best course

por DAVID J A

Feb 12, 2018

Brilliant!!

por Animesh K

Aug 09, 2017

Cool course

por Leonardo L e C

Jun 21, 2019

Very good!

por Sanjeev R

Aug 26, 2019

Excellent

por Bjornn B O F F

Jun 27, 2017

Awesome!