Conc-Tree Combiners: Parallel Programming in Scala

In course

Description

This lecture covers Conc-Tree Combiners, which are used in parallel programming in Scala. It explains how Conc Buffers append elements into an array, how Chunk Nodes store arrays of elements, and how the expand method inserts chunks into the Conc-tree. The lecture also details the combine method, which merges two Conc Buffers, and the result method, which packs chunk arrays into trees. A demo is shown using the Rond Bluffen benchmark, and the lecture concludes with a practical example of parallelized tasks in Scala.

Instructors (2)

Official source

https://mediaspace.epfl.ch/media/0_j152wrtw

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Embarrassingly parallel

In parallel computing, an embarrassingly parallel workload or problem (also called embarrassingly parallelizable, perfectly parallel, delightfully parallel or pleasingly parallel) is one where little or no effort is needed to separate the problem into a number of parallel tasks. This is often the case where there is little or no dependency or need for communication between those parallel tasks, or for results between them. Thus, these are different from distributed computing problems that need communication between tasks, especially communication of intermediate results.

Massively parallel

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Scala (programming language)

Scala (ˈskɑːlə ) is a strong statically typed high-level general-purpose programming language that supports both object-oriented programming and functional programming. Designed to be concise, many of Scala's design decisions are aimed to address criticisms of Java. Scala source code can be compiled to Java bytecode and run on a Java virtual machine (JVM). Scala can also be compiled to JavaScript to run in a browser, or directly to a native executable.

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