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22. October 2020, 9:30 16:30

Empa, Duebendorf, AKADEMIE

Introduction

For HPC centers it is essential to simplify the access to the computational resources for their user  communities. Personal computing did already introduce in the eighties of last century the concept of desktop computing to simplify the utilization by the users. At the same time we moved from mainframes to client-server architectures up to micro-services. Unfortunately supercomputers are still (mostly) used by manually submitting jobs in queues.

 

Some scientific communities did already work on such challenges and created web portals able to support complex workflow hiding from the end users details related to the HPC infrastructure. More and more scientists will be involved in the next few years in building such platforms.

 

For us it is getting more and more important to support those portals and offer new ways to use the computational and storage resources we manage. It shall be possible to use the supercomputers interactively or through defined programmatic interfaces (API) to cover from simple use cases up to complex workflows. This also includes access to data management tools to stage in (and out) everything that’s needed to run the simulation or analysis.

 

Key Questions

  • Scientific portals: What kind of scientific portals do exist today? What will be the future developments? What are their requirements respect to the HPC providers?

 

  • Interactive computing platforms: How can I easily run a calculation/analysis that requires some degree of interaction on a bigger and more powerful machine? Can I use an HPC resource as if it was my laptop?

 

  • Efficient management of data: Are there any optimal tools to manage data efficiently? E.g., avoiding copying non-essential info when moving data, or saving data for archiving purposes  Can I synchronize files between my computer, my home institution and my HPC resource without having to use too many different tools? Without having to monitor failures manually?

 

  • Computational resources abstraction: As a HPC provider, how can we build a “middle layer” allowing our scientific computing users to see the resources we are providing in a uniform way? (keywords: workflow, API, RESTful interfaces).

 

Timetable

09:30 - 10:00 Registration and Welcome Coffee

10:00 - 10:15 Welcome and Introduction

Conveners: Daniele Passerone (Empa), Michele De Lorenzi (CSCS)

10:15 - 11:00 Keynote Presentation

11:00 - 11:30 Technical Presentation: AiiDA Lab – an Ecosystem for Developing,

Executing and Sharing Scientific Workflows

Convener: Kristjan Eimre (Empa)

11:30 - 12:00 Technical Presentation

12:00 - 12:30 Technical Presentation

12:30 - 13:30 Lunch and Networking

13:30 - 14:30 Site Visit

14:30 - 15:00 Technical Presentation

15:00 - 15:15 Coffee Break

15:15 - 15:45 Technical Presentation

15:45 - 16:15 Technical Presentation

16:15 - 16:20 Farewell and End of the Meeting

 

Registration

For more information on the event and registration, please follow this link