08.09.2022
Living Lab Lecture SeriesLiving Lab Hands-On Demonstrator #1: Bridging between Data Science and Performance Analysis
Room APB-1020
Nöthnitzer Str. 46
01187 Dresden
The ScaDS.AI Living Lab Hands-On Demonstrator Series is an event series in which we showcase the latest accomplishments, discoveries, improvements and educational tools of the ScaDS.AI team in the field of Artificial Intelligence, Big Data and Data Science.
In the last years, an increasing amount of available data has led to new application approaches and an application field that is now called data science (DS). Such applications often require low runtimes while having to deal with restricted compute resources. Up to now, we perceive that the DS community lacks tool support for runtime and resource usage investigations. Thus, we present an approach that combines DS and performance analysis from the High Performance Computing domain. Our concept integrates the measurement framework Score-P in Jupyter, a popular editor for the development of DS applications. We designed and implemented a custom Jupyter kernel that collects runtime data and applied it to a natural language processing application. The measurement overhead was 12.55 seconds. The benefits are, that the collected data can then be visualised using established performance analysis tools.
We welcome you all to our Living Lab! The introductory talk, Q&A and hands-on session will provide you with a chance to familiarize yourself with the demonstrator, with the guidance of the demonstrator creator, and have a discussion on their research directions and real-life applications.
This Living Lab is free for everyone.
Language: English
To join the lecture please register here in advance: Registration Living Lab