The seminar is now over. You can find the report at PeerJ.

VSSP ‘18 is a GI-Dagstuhl seminar for young researchers that 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.

The main goal of the VSSP ‘18 is to bring together young researchers (PhD students, postdocs, and assistant professors) in the areas of (i) performance engineers, (ii) software visualization, and (iii) high-performance computing. The seminar has the following objectives:

German countryside in early summer

VSSP ‘18 will take place from July 9 until July 13 (Mon - Fri), 2018, in Dagstuhl, Germany. Schloss Dagstuhl – Leibniz Center for Informatics is a castle situated at the scenic countryside of Saarland. It is a world-renowned meeting place for computer scientists. We are honored to be hosted by Schloss Dagstuhl and supported to bring together young researchers from different disciplines. The seminar is sponsored by the GI and Schloss Dagstuhl - participants pay only 50 EUR per night for accomodation/full board. VSSP ‘18 is officially listed on the Dagstuhl website.

   

Organizers

Call for applications

Our call for applications is now closed!

Participants

Davide Arcelli (University of L’Aquila, Italy)
Fabian Beck (University of Duisburg-Essen, Germany)
Alexandre Bergel (University of Chile, Chile)
Cor-Paul Bezemer (University of Alberta, Canada)
Abhinav Bhatele (Lawrence Livermore National Laboratory, US)
David Boehme (Lawrence Livermore National Laboratory, US)
Jinfu Chen (Concordia University, Canada)
Diego Costa(Heidelberg University, Germany)
Sarah Goodwin (Monash University, Australia)
Patrick Gralka (University of Stuttgart, Germany)
Kevin Griffin (LLNL/University of California, US)
Marc-Andre Hermanns (Jülich Supercomputing Centre, Germany)
Katherine Isaacs (University of Arizona, US)
Angelina Lee (Washington University, US)
Philipp Leitner (Chalmers, Sweden)
Leonel Merino (University of Bern, Switzerland)
Oliver Moseler (University of Trier, Germany)
Dusan Okanovic (University of Stuttgart, Germany)
Olga Pearce (Lawrence Livermore National Laboratory, US)
Paul Rosen (University of South Florida, US)
Juan Pablo Sandoval (Universidad Mayor de San Simon/Universidad Catolica Boliviana, Bolivia)
Luka Stanisic (Max Planck Computing & Data Facility, Germany)
André van Hoorn (University of Stuttgart, Germany)
Santiago Vidal (UNICEN University, Argentina)
Tom Vierjahn (RWTH Aachen, Germany)

Program

Tentative program:

Sunday July 8
15:30Coffee & Cake
18:00Dinner
Monday July 9
9:00Intro & overview
9:30Icebreaker
10:30Break
11:00Research lightning intros
12:00Lunch
14:00Breakout groups topic selection
14:30Informal topic selection presentation by the moderators of each group
15:00Define groups and group deliverables for Tuesday
16:30Share breakout discussion (and choose group for Tuesday)
17:00Free time
18:00Dinner
Tuesday July 10
9:00Tutorial: State of the Art of Visualization in APM Tools
(André van Hoorn & Dušan Okanović)
10:00Break
10:30Breakout groups
12:00Lunch
14:00Breakout groups
17:00Free time
18:00Dinner
Wednesday July 11
9:00Tutorial: Tracing and Profiling in HPC
(Marc-André Hermanns & David Böhme)
10:30Break
11:00Breakout reports
12:00Lunch
14:00Excursion: Trier
17:00Free time
18:00Dinner
Thursday July 12
9:00Tutorial: Scalable HPC Visualization and Data Analysis Using VisIt
(Kevin Griffin)
10:00Break
10:30Second round breakout groups
12:00Lunch
14:00Second round breakout groups
16:30Breakout writing
17:00Free time
18:00Dinner
Friday July 13
9:00Breakout reports
10:00Break
10:30Opportunities & challenges
11:30Future planning
12:00Lunch
14:00Wrap up / open program