GI-Dagstuhl-Seminar 18283
Visualizing Systems and Software Performance (VSSP)
( 08. Jul – 13. Jul, 2018 )
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Organisatoren
- Fabian Beck (Universität Duisburg - Essen, DE)
- Alexandre Bergel (University of Chile - Santiago de Chile, CL)
- Cor-Paul Bezemer (University of Alberta - Edmonton, CA)
- Katherine E. Isaacs (University of Arizona - Tucson, US)
Kontakt
- Heike Clemens (für administrative Fragen)
Externe Veranstaltungsseite
Impacts
- Enhancing Commit Graphs with Visual Runtime Clues : article in VISSOFT 2019 : preprint - Sandoval Alcocer, Juan Pablo; Camacho Jaimes, Harold; Costa, Diego; Bergel, Alexandre; Beck, Fabian - Los Alamitos : IEEE, 2019. - 5 pp..
- Visualizing systems and software performance : Report on the GI-Dagstuhl seminar for young researchers, July 9 - 13, 2018 - Beck, Fabian; Bergel, Alexandre; Bezemer, Cor-Paul; Isaacs, Katherine E. - PeerJPreprints, 2018. - 12 pp..
This GI-Dagstuhl seminar addresses the problem of visualizing performance-related data of systems and the software that they run. Due to the scale of performance-related data and the open-ended nature of analyzing it, visualization is often the only feasible way to comprehend, improve, and debug the performance behavior of systems. The rise of cloud and big data systems, and the rapidly growing scale of the performance-related data that they generate, have led to an increased need for visualization of such data. However, the research communities behind data visualization, performance engineering, and high-performance computing are largely disjunct. The goal of this seminar is to bring together young researchers from these research areas to identify cross-community collaboration and to set the path for long-lasting collaborations towards rich and effective visualizations of performance-related data.
Creative Commons BY 3.0 DE
Fabian Beck, Alexandre Bergel, Cor-Paul Bezemer, and Katherine E. Isaacs
Schlagworte
- Software Performance Engineering
- Software Visualization
- High-Performance Computing
- Big Data
- Cloud Computing
- Data Analytics
- Software Engineering
