Book Image

Scientific Computing with Scala

By : Vytautas Jancauskas
Book Image

Scientific Computing with Scala

By: Vytautas Jancauskas

Overview of this book

Scala is a statically typed, Java Virtual Machine (JVM)-based language with strong support for functional programming. There exist libraries for Scala that cover a range of common scientific computing tasks – from linear algebra and numerical algorithms to convenient and safe parallelization to powerful plotting facilities. Learning to use these to perform common scientific tasks will allow you to write programs that are both fast and easy to write and maintain. We will start by discussing the advantages of using Scala over other scientific computing platforms. You will discover Scala packages that provide the functionality you have come to expect when writing scientific software. We will explore using Scala's Breeze library for linear algebra, optimization, and signal processing. We will then proceed to the Saddle library for data analysis. If you have experience in R or with Python's popular pandas library you will learn how to translate those skills to Saddle. If you are new to data analysis, you will learn basic concepts of Saddle as well. Well will explore the numerical computing environment called ScalaLab. It comes bundled with a lot of scientific software readily available. We will use it for interactive computing, data analysis, and visualization. In the following chapters, we will explore using Scala's powerful parallel collections for safe and convenient parallel programming. Topics such as the Akka concurrency framework will be covered. Finally, you will learn about multivariate data visualization and how to produce professional-looking plots in Scala easily. After reading the book, you should have more than enough information on how to start using Scala as your scientific computing platform
Table of Contents (16 chapters)
Scientific Computing with Scala
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Chapter 6. Parallel Programming in Scala

Parallel programming (sometimes referred to as concurrent programming) refers to executing several processes at the same time. By processes, I mean either operating level processes, threads, or maybe programs on different computers connected in a network. By itself, that does not sound interesting. Simply running several programs at the same time is useful, but it's hard to see what is there to talk about in this book or how it is related to scientific computing. You run them, you get the results, maybe process those results, and so on. Any kinds of complication (and at the same time interesting stuff) only happen when those processes have to interact with each other.

In fact, many algorithms can be written as several processes working together toward a unified goal and exchanging information in order to accomplish that goal. This is particularly attractive at this time when CPUs with multiple cores are widely available, and the clock frequencies of...