Advertisement
Published in:
2021 | OriginalPaper | Chapter
An Easy-to-Use Execution Environment for the Parallelisation of Computationally Intensive Data Science Applications
Authors : Sabrina Rosmann, Thomas Feilhauer, Steffen Finck, Martin Sobotka
Published in: Data Science – Analytics and Applications
Publisher: Springer Fachmedien Wiesbaden
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
With Cloud Computing and multi-core CPUs parallel computing resources are becoming more and more affordable and commonly available. Parallel programming should as well be easily accessible for everyone. Unfortunately, existing frameworks and systems are powerful but often very complex to use for anyone who lacks the knowledge about underlying concepts. This paper introduces a software framework and execution environment whose objective is to provide a system which should be easily usable for everyone who could benefit from parallel computing. Some real-world examples are presented with an explanation of all the steps that are necessary for computing in a parallel and distributed manner.