Future technical challenges of data and compute intensive sciences
- Volker Guelzow (DESY)
25. Data intensive agricultural sciences : requirements based on Aginfra+ Project and high throughput phenotyping infrastructure
Mr Vincent Negre (INRA)
The H2020 e-ROSA has defined a three-layer architecture as federated e-infrastructure to address societal challenges of Agriculture and Food that require multi-disciplinary approaches. In that direction, the European project AGINFRA+ aims to exploit core e-infrastructures such as EGI.eu, OpenAIRE, EUDAT and D4Science, to provide a sustainable channel addressing adjacent but not fully connected...
Helge Meinhard (CERN)
Driven by the need to carefully plan the resources for the next data taking periods of CERN’s Large Hadron Collider, sites started a common activity tasked with tracking the evolution of technologies and markets of concern to the data centres. The talk will give an overview of general and semiconductor markets, server markets, CPUs and accelerators, memories, storage and networks; it will...
Ivan Rodero (EMSO ERIC)