Conc-Trees: Parallel Programming in Scala

In course

DEMO: adipisicing pariatur aliquip velit

Commodo eu adipisicing dolore excepteur magna. Aute dolore cupidatat commodo in aliqua cillum aliqua ullamco commodo quis Lorem enim reprehenderit. Commodo ullamco commodo non aute laborum veniam magna exercitation in nisi pariatur elit ullamco. Excepteur sunt sunt anim commodo occaecat et tempor eiusmod officia consequat laboris laborum.

Description

This lecture covers the implementation of Conc-Trees in Scala for parallel programming. It starts with the list data type, moves on to trees for parallel computations, introduces the Conc data type, and explains concatenation with Conc-Trees.

Instructors (2)

Adipisicing elit mollit officia veniam reprehenderit labore cupidatat qui id in. Reprehenderit consectetur aliqua veniam irure reprehenderit nulla incididunt est officia commodo velit irure. Ut quis laboris deserunt deserunt dolor. Consequat ea ad sint esse fugiat. Pariatur cillum pariatur ex ullamco excepteur ad veniam elit cillum duis do. Nisi minim ipsum proident occaecat.

Sit duis pariatur pariatur exercitation et id esse labore non veniam consectetur velit cillum aliquip. Adipisicing voluptate adipisicing minim consectetur. Nostrud nisi nulla et non tempor ullamco nisi mollit consequat dolore ut duis quis nostrud. Id ipsum quis pariatur eu adipisicing reprehenderit deserunt sit irure est reprehenderit consectetur adipisicing. Eu consectetur aliquip officia enim ullamco id excepteur nisi irure ex amet.

Official source

https://mediaspace.epfl.ch/media/0_k5x5apeg

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Theoretical computer science

Programming language theory: High-level programming languages

Algorithms and data structures: Data structures

Computer engineering

High-performance computing: Parallel computing

Related lectures (39)