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.
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.
創建者 Alexey Korpukhnov•
Jan 31, 2019
It would be great to add some popular frameworks and some basics of reactive programming
創建者 Ilya Babich•
Jan 20, 2019
The tasks are not well designed for online education
創建者 Dean Thomas•
Jan 04, 2019
Needs to be updated for more modern versions of Scala.
創建者 Anton Bossenbroek•
Dec 10, 2018
it would be great to have a few more pointers how to debug code in parallel
創建者 Denys Lobur•
Dec 10, 2018
Nice and complicated
創建者 Bruno Medeiros•
Dec 03, 2018
Very good introductory theoretical foundation for parallell algorithms, and background for
the Big Data Analysis with Scala and Spark course.
創建者 Christoph Knabe•
Nov 27, 2018
Very interesting material, especially the prefix sum algorithms about, how to transform a sequential problem into a parallel problem.
Nov 23, 2018
exercise are too heavy
創建者 Joshua Sakwa•
Nov 15, 2018
Like the other courses in this series, the lectures and exercises are excellent. Coming from a communications background, this course presented me with an opportunity to build on what I already knew but also offered new and interesting insights related to algorithm performance tuning. The course has a nice mix of theory and serviceable information. If you've never done any type of high-performance computing, this is a nice gentle introduction into the subject. The instructions took a lot of time to build fun and interesting exercises that are meticulously constructed.
創建者 Massimiliano D’Acunzo•
Nov 09, 2018
This course analyse the parallel programming from both practical and theoretical point of view. It gives the instruments both to understand the Scala library in its completeness and expressiveness in parallel computing, and the theoretical knowledge to understand what's "under the hood", to allow the student to understand whether the parallelism could be effective or not.
I greatly suggest this course to anyone interested in parallel computing.