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.
Este curso faz parte do Programa de cursos integrados Functional Programming in Scala
oferecido por
Programa de cursos integrados Functional Programming in ScalaEscola Politécnica Federal de LausanaInformações sobre o curso
Habilidades que você terá
- Data Structure
- Parallel Computing
- Data Parallelism
- Parallel Algorithm
oferecido por
Programa - O que você aprenderá com este curso
Parallel Programming
We motivate parallel programming and introduce the basic constructs for building parallel programs on JVM and Scala. Examples such as array norm and Monte Carlo computations illustrate these concepts. We show how to estimate work and depth of parallel programs as well as how to benchmark the implementations.
Basic Task Parallel Algorithms
We continue with examples of parallel algorithms by presenting a parallel merge sort. We then explain how operations such as map, reduce, and scan can be computed in parallel. We present associativity as the key condition enabling parallel implementation of reduce and scan.
Data-Parallelism
We show how data parallel operations enable the development of elegant data-parallel code in Scala. We give an overview of the parallel collections hierarchy, including the traits of splitters and combiners that complement iterators and builders from the sequential case.
Data Structures for Parallel Computing
We give a glimpse of the internals of data structures for parallel computing, which helps us understand what is happening under the hood of parallel collections.
Avaliações
- 5 stars59,81%
- 4 stars28,36%
- 3 stars9,18%
- 2 stars1,92%
- 1 star0,71%
Principais avaliações do PROGRAMAÇÃO PARALELA
Very challenging course, the assignments are more about practising using parallel programming, would be better to design an assignment to implement the parallel programming.
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.
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.
The course was really good. Got to learn so much about parallel programming with that course. The explanation level is very basic and any Computer Science related person can easily grasp the concepts
Sobre Programa de cursos integrados Functional Programming in Scala
Discover how to write elegant code that works the first time it is run.
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