EGI Conference 2020

Session

Highlights from EGI participants and partners - Part 2

2 Nov 2020, 15:30

Room: http://go.egi.eu/zoom4

Conveners

Highlights from EGI participants and partners - Part 2

• Sergio Andreozzi (EGI.eu)

Description

This session offers a space for EGI Federation Participants and Partners to share the latest strategic and infrastructure developments in their domain.

The second part will focus on three presentations from initiatives in Russia, Iberian region (Spain and Portugal) and Slovenia.

147. Future developments of the JINR computing infrastructure for large scale collaborations

Dr Vladimir Korenkov (Joint Institute for Nuclear Research)

02/11/2020, 15:30

The experiments at the Large Hadron Collider (LHC) at CERN (Geneva, Switzerland) played a leading role in scientific research. Data processing and analysis is carried out using high-performance complexes (Grid), academic, national and commercial resources of cloud computing, supercomputers and other resources. JINR is actively involved in the integration of distributed heterogeneous resources...

148. IBERGRID roadmap towards expanding capacities and capabilities for scientific service provisioning

Isabel Campos (CSIC)

02/11/2020, 15:55

For the past 12 years IBERGRID has been the forum for common activities and sharing of knowledge between Spain and Portugal in the area of distributed computing. IBERGRID federates infrastructures from Iberian research and academic organizations mainly focused on Grid, Cloud computing and Data processing. As such it enables the joint participation of Spain and Portugal in international...

157. Integrating and scaling up SLING: perspectives for scientific computing in Slovenia

Jan Javorsek (JSI)

02/11/2020, 16:20

The Slovenian national supercomputing network is available for researchers in universities, research institutions and industrial development centers who need significant computing capacities to run compute-intensive algorithms and massively parallel algorithms (HPC/supercomputing) and use distributed processing of large numbers of tasks across several clusters (compute grid, HTC/high...