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Parallel programming

Approx. 33 hours to complete

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Course Summary

Learn parallel programming in Scala and gain the skills to make your applications faster and more responsive.

Key Learning Points

Understand the basics of parallel programming in Scala
Learn techniques for solving common parallel programming challenges
Gain hands-on experience with parallel collections, actors, and futures

Job Positions & Salaries of people who have taken this course might have

- USA: $110,000
- India: ₹12,00,000
- Spain: €40,000
- USA: $110,000
- India: ₹12,00,000
- Spain: €40,000
- USA: $130,000
- India: ₹15,00,000
- Spain: €50,000
- USA: $110,000
- India: ₹12,00,000
- Spain: €40,000
- USA: $130,000
- India: ₹15,00,000
- Spain: €50,000
- USA: $150,000
- India: ₹18,00,000
- Spain: €60,000

Learning Outcomes

Ability to write parallel programs in Scala
Understanding of common parallel programming challenges and techniques to solve them
Experience with parallel collections, actors, and futures

Prerequisites or good to have knowledge before taking this course

Basic knowledge of Scala programming
Familiarity with functional programming concepts

Course Difficulty Level

Intermediate

Course Format

Online
Self-paced
Video lectures
Hands-on exercises

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Description

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.

Learning Outcomes. By the end of this course you will be able to: - reason about task and data parallel programs, - express common algorithms in a functional style and solve them in parallel, - competently microbenchmark parallel code, - write programs that effectively use parallel collections to achieve performance Recommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Functional Program Design in Scala: https://www.coursera.org/learn/progfun2.

Outline

Parallel Programming
Course Overview
Introduction to Parallel Computing
Parallelism on the JVM I
Parallelism on the JVM II
Running Computations in Parallel
Monte Carlo Method to Estimate Pi
First-Class Tasks
How Fast are Parallel Programs?
Benchmarking Parallel Programs
Working on Assignments
Tools Setup (Please read)
SBT tutorial and Submission of Assignments (Please read)
Cheat Sheet
Scala Style Guide

Basic Task Parallel Algorithms
Parallel Sorting
Data Operations and Parallel Mapping
Parallel Fold (Reduce) Operation
Associativity I
Associativity II
Parallel Scan (Prefix Sum) Operation

Data-Parallelism
Data-Parallel Programming
Data-Parallel Operations I
Data-Parallel Operations II
Scala Parallel Collections
Splitters and Combiners

Data Structures for Parallel Computing
Implementing Combiners
Parallel Two-phase Construction
Conc-tree Data Structure
Amortized, Constant-time Append Operation
Conc-Tree Combiners

Summary of User Reviews

Learn Scala Parallel Programming on Coursera. Read reviews by students who have taken this course. Find out what they think about the course and its overall quality.

Key Aspect Users Liked About This Course

One key aspect that many users thought was good is the in-depth coverage of the Scala programming language.

Pros from User Reviews

The course content is comprehensive and covers a wide range of topics.
The instructor is knowledgeable and provides clear explanations.
The assignments and quizzes are challenging and help reinforce the concepts learned.
The course is well-structured and easy to follow.
The course provides practical examples and real-world applications of the concepts learned.

Cons from User Reviews

The course can be quite challenging for beginners and requires prior programming experience.
Some users have reported technical issues with the programming assignments.
The course may not be suitable for those looking for a quick introduction to Scala.
The course may require a significant time commitment to complete.
Some users have found the course material to be outdated or not up-to-date with the latest versions of Scala.

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