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.
제공자:

이 강좌에 대하여
학습자 경력 결과
24%
22%
귀하가 습득할 기술
학습자 경력 결과
24%
22%
제공자:

로잔연방공과대학교
강의 계획 - 이 강좌에서 배울 내용
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.
검토
PARALLEL PROGRAMMING의 최상위 리뷰
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
Very good. Only things I wish were better is more comments in some assignments and more prepared tests. Also I miss not having "Statement of Accomplishment" like some other Scala courses :-(.
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.
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.
Functional Programming in Scala 특화 과정 정보
Discover how to write elegant code that works the first time it is run.

자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
이 전문 분야를 구독하면 무엇을 이용할 수 있나요?
Is financial aid available?
강좌를 수료하면 대학 학점을 받을 수 있나요?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.