IWAPP - Innovative Workflows in Astro- & Particle Physics

Session

Common approaches

11 mars 2021, 10:00

Online

Présidents de session

Common approaches: Presentations

• Thomas Vuillaume (LAPP, CNRS)

Common approaches: Discussion groups

• Jutta Schnabel (FAU Erlangen (ECAP))

Common approaches: Summary & Outlook

• Elena Cuoco

Description

Discussions and talks on combined workflows

Documents de présentation

Recording @Youtube

20. The test science projects as starting point for common efforts

Caterina Doglioni (Lund University), Elena Cuoco

11/03/2021 10:00

31. Introduction to discussion sessions

11/03/2021 10:50

32. Discussion topics overview

11/03/2021 11:10

26. Discussion 1: Data reduction and data formats

Kai Polsterer (HITS gGmbH)

11/03/2021 15:00

With the exponential increase in available data, new data analysis paradigms are required. The tradition single source science approaches used for nowadays data archives do not scale with recent data challenges. Machine learning is one of the key tools to provide an assistance in dealing with this data avalanche. This brings forth new topics to be dealt with:
- pre-processing and compressed...

23. Discussion 2: use of alternative hardware

Maurizio Pierini (CERN)

11/03/2021 15:00

With new technologies emerging (e.g., deep learning), scientific computing environment are becoming more and more heterogeneous. Several parallel computing devices (GPGAs, GPUs, etc) can be exploited to accelerate traditional algorithms and include deep learning components in the processing workflows. A wide set of dedicated computing devices (TPUs, IPUs, ...) are targeting specific use cases,...

22. Discussion 3: Machine & deep learning techniques

Luca Antiga

11/03/2021 15:00

The adoption of deep learning and machine learning techniques in the scientific community has become increasingly widespread. Sharing knowledge and code on approaches and architectures is already become practice, but this could be improved by creating common resources that require limited effort but may have a high impact on the field, by both enabling new science and ensuring prior work can...

24. Discussion 4: Workflow management for machine learning

Cristiano Bozza

11/03/2021 15:00

With Machine Learning techniques being applied at larger and larger scales in high-energy and astroparticle physics, workflow management is gaining attention as one area where careful design and implementation are crucial to the success of a solution. "Workflow management" is indeed a broad term itself, with different meanings. Presentations on specific approaches at IWAPP have explored...

25. Discussion 5: Real time analysis and triggering

Caterina Doglioni (Lund University)

11/03/2021 15:00

The amount of data to be processed by scientific experiments is ever-increasing, and the time-to-insight from recording to benefitting from the data is becoming a more relevant benchmark than for previous instruments.
In this discussion we will try to understand if there are common use cases and what solutions are implemented by the experiments of the participants to meet this challenge,...

33. Discussion 1: Data reduction and data formats

Kai Polsterer (HITS gGmbH)

11/03/2021 16:00

36. Discussion 2: use of alternative hardware

Maurizio Pierini (CERN)

11/03/2021 16:00

37. Discussion 3: Machine & deep learning techniques

Luca Antiga

11/03/2021 16:00

35. Discussion 4: Workflow management for machine learning

Cristiano Bozza

11/03/2021 16:00

34. Discussion 5: Real time analysis and triggering

Caterina Doglioni (Lund University)

11/03/2021 16:00

43. AI and ML landscape and ideas for platforms and services by EGI

Ville Tenhunen (EGI)

12/03/2021 10:00

38. Reports from the discussion groups

12/03/2021 10:30

39. Panel discussion

12/03/2021 11:20

40. Summary

Elena Cuoco

12/03/2021 12:20