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.
par Marcin Z•
Apr 16, 2019
First 3 weeks were cool, but the last week was somehow rushed and the assignment did not involve any parallel programming.
par Šejla Č•
Mar 08, 2019
Plus: Very in-depth lectures, challenging assignments. Minus: The actual parallel code somewhat remains a black-box, assignments sometimes focus more on figuring out the algorithm logic which may not have anything to do with the course. Still I enjoyed it and learned a great deal.
par Ilya B•
Jan 20, 2019
The tasks are not well designed for online education
par Oliinyk V•
Apr 02, 2018
General idea of the course is very good. There are a few things to improve though:
Focus more on intuition behind algorithms rather than formal math
Build a solid foundation that would allow students to develop parallel algorithms themselves.
Practical assignments should focus exactly on this, rather than filling in missing pieces of code that are only tangentially related to the algorithm itself.
It would be helpful if the course provided minimal but solid basics and intuition behind parallel computations. The basics that would allow students to learn more advanced concepts themselves.
In any case, the course has a lot of value and the instructors are awesome.
par Leitner C S E S•
Nov 21, 2017
Some of the practical examples are a bit tedious, because the bigger issues you sometimes need to solve seem to be implementing a random algorithm, instead of implementing its parallelization per se. That is, the support classes for parallelizing the algorithms are pre-coded for you, while you at times spend more time figuring out how the algorithm itself needs to be implemented with that rather than coming up with these parallelization semaphores (which I would have considered more interesting, at least). But the content covered is highly relevant and first class (the authors being world-leading experts on the topic), so if you are interested in parallel programming, this is course is a great choice.
par Leonardo L e C•
Jun 21, 2019
par Artem B•
May 23, 2019
Great course with very entertaining exercises!
Apr 30, 2019
Perfect! Learning Parallel Programming, I can learn more about Spark and Flink. Thanks
par Joël V•
Apr 22, 2019
This course introduces an elegant and practical alternative to purely lock based parallelism by exploiting data & task parallelism intrinsic to many problems. It also emphasizes the mathematical requirements to use such tooling. The course slides/videos provide an good theoretical introduction with short code examples. The (fun ;-) )ctional exercises greatly echo the theoretical course with problems which appear almost effortless to parallelize.
par Sviridenko K•
Mar 26, 2019
Amazing practice assignments! It was very interesting to solve them.
par Alexey K•
Jan 31, 2019
It would be great to add some popular frameworks and some basics of reactive programming
par Dean T•
Jan 04, 2019
Needs to be updated for more modern versions of Scala.
par Anton B•
Dec 10, 2018
it would be great to have a few more pointers how to debug code in parallel
par Denys L•
Dec 10, 2018
Nice and complicated
par Bruno M•
Dec 03, 2018
Very good introductory theoretical foundation for parallell algorithms, and background for
the Big Data Analysis with Scala and Spark course.
par Christoph K•
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
par Joshua S•
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.
par Massimiliano D•
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.
par Paulo R d O C•
Sep 13, 2018
Hard course, but gives good insights about the challenges and solutions for parallel programming.
par Josue G T I•
Sep 03, 2018
Very interesting, with difficult examples and task. Spent a lot of time analyzing weekly assignments but it was totally worth.
par VICTOR A•
Aug 11, 2018
All but the last assignment are interesting. A fair amount of the lectures are also good, even though some of them are too theoretical - the bad lectures are the ones that focus too much into proving mathematical properties, but thankfully there is just a few of those.
The last assignment is considerably larger than the other ones and requires a physics background (or interest to do research on your own). I think they could improve it by approaching the material independently with smaller exercises before applying them again into the larger application that is built as part of the assignment today.
par manuel B L•
Jul 22, 2018
par Yiran W•
Jul 19, 2018
just one point to improve: some lib in Scala are not be told to install and use
par Stanislav T•
Jun 26, 2018
The topic is well explained in the videos and the assignments are challenging and fun. I really enjoyed how they (the assignments) are usually put in a context, e.g. they are part of some project and you can see some outcome.