RC
5.0Reviewed Aug 24, 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.
Parallel programming
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.
Status: Scala Programming
Status: Programming Principles
IntermediateCourse33 hours
Featured reviews
RD
4.0Reviewed Mar 31, 2017
Its a very good course! perhaps the in the practice code, before jumping into the problems they can provide a couple of simple examples/questions such that the main ideas are learnt.
YS
4.0Reviewed May 16, 2017
The assignment could be optimized and avoid to be more academic since it may make student lost focus and spend too much time on the question itself rather than the parallel programming
GE
4.0Reviewed Mar 28, 2018
For this course you should have Advanced English level. Cause sentesce construction is so difficult and words so unusual that i had to some times google what i have to do.
RW
4.0Reviewed Dec 10, 2016
Good course but scala understanding is required for this course. So please register for prior course in the certification task to easily complete this course.
AL
5.0Reviewed Apr 23, 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.
BP
4.0Reviewed Dec 19, 2016
Very good course overall on the basics of parallel programming in scala. Would have been nice to talk a bit more on the low level setup (parallel and task construct code).
SG
4.0Reviewed Sep 16, 2016
Good explanations, relevant assignments. But too small, too little graded assignments as for subject. Be better if the assignments has less starter code.
EL
5.0Reviewed Aug 13, 2016
A worthwhile course. I enjoyed the lectures a lot. Really good grounding on principles which can be applied in other languages/platforms in addition to Scala.
AS
5.0Reviewed Nov 17, 2017
I learned a lot about parallel processing algorithms, way more than I expected. Even after spending over 10 years programming parallel data processing.
JD
4.0Reviewed May 20, 2020
At its begining, this training doesn't look as polished and refined as the previous ones animated by Martin Odersky, but it quickly catch up with very efficient lessons and great practice exercises.
SN
4.0Reviewed Jul 5, 2020
I really learned to think of parallelism in different ways. My only issue was that a lot of the exercises required good spatial skills which are not my strength. Somehow though I passed.