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.
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Habilidades que você terá
- 5 stars59,74%
- 4 stars28,39%
- 3 stars9,17%
- 2 stars1,97%
- 1 star0,71%
Principais avaliações do PROGRAMAÇÃO PARALELA
Assignments are focused on problem-solving rather than the importance of parallelism, missing the point of the lecture. It is a Scala course, so it is always fun!
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.
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
Really good course covering some of the fundamentals of parallel programming, though for me I was hoping it would go into some of the Scala specifics a little more
Sobre Programa de cursos integrados Functional Programming in Scala
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