COURSE DESCRIPTION
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.
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.
Length: 16 Hours
Price: FREE (Add a verified certificate for £36/month)
Provider: École Polytechnique Fédérale de Lausanne via Coursera
Subject: Computer Science
Level: Intermediate
Languages: English
Instructors: Prof. Viktor Kuncak, Dr. Aleksandar Prokopec
[parsehtml]<a class="button" style="height: 100%; padding:14px 14px 14px 14px !important; color: white; font-size: 18px; font-weight: bold; margin-bottom: 10px;" href="https://www.coursera.org/learn/parprog1"target="_blank">> Go To Course</a>[/parsehtml]
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.
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.
Length: 16 Hours
Price: FREE (Add a verified certificate for £36/month)
Provider: École Polytechnique Fédérale de Lausanne via Coursera
Subject: Computer Science
Level: Intermediate
Languages: English
Instructors: Prof. Viktor Kuncak, Dr. Aleksandar Prokopec
[parsehtml]<a class="button" style="height: 100%; padding:14px 14px 14px 14px !important; color: white; font-size: 18px; font-weight: bold; margin-bottom: 10px;" href="https://www.coursera.org/learn/parprog1"target="_blank">> Go To Course</a>[/parsehtml]