hpc-ch forum on AI/ML Services for Science
Thursday 31 Oct 2024, 09:00
→
17:00
Europe/Zurich
CSCS Conference Room
CSCS Conference Room
CSCS Via Trevano 131 6900 Lugano
Maria Grazia Giuffreda
(
CSCS
)
,
Pablo Fernandez
(
CSCS
)
Description
Description
Placeholder
Key Questions
Challenges in Offering AI/ML Services:
What are the unique challenges HPC centers face in providing AI/ML services alongside traditional HPC capabilities?
How do we ensure scalability and efficiency in AI/ML workflows within HPC infrastructures?
User Expectations:
What are the expectations of users regarding AI/ML services within HPC environments?
How can HPC centers tailor their offerings to meet these expectations effectively?
Concrete Machine Learning Workflows:
What are the typical workflows involved in integrating ML/AI with HPC resources?
How can these workflows be optimized for performance and reliability?
Tools for AI/ML Services:
What tools and frameworks are currently available for providing AI/ML services in HPC settings?
Are there any gaps in tooling that need to be addressed to better support AI/ML integration?
Data Requirements and Considerations:
What specific requirements does ML/AI integration impose on data storage, access, and management within HPC centers?
How can HPC centers navigate the complexities of handling diverse data types and sources?
Registration
Registration
Register
Contact
raluca.hodoroaba@cscs.ch
09:30
→
10:00
Welcome Coffee & Registration
10:00
→
10:15
Welcome and Introduction
15m
Speakers
:
Maria Grazia Giuffreda
(
CSCS
)
,
Michele De Lorenzi
(
CSCS
)
,
Pablo Fernandez
(
CSCS
)
10:15
→
11:00
Keynote Presentation
45m
11:00
→
11:30
Technical Presentation
30m
11:30
→
12:00
Technical Presentation
30m
12:00
→
12:30
Technical Presentation
30m
12:30
→
13:30
Lunch and Networking
1h
13:30
→
14:00
Technical Presentation
30m
14:00
→
15:00
Community Development
1h
The session will be dedicated to:
Updates from the community
Selection of topics of interest, themes and locations for future forums
15:00
→
16:00
Guided Tour - Machine Room
1h
16:00
→
16:10
Farewell and End of the Meeting
10m