HPC, Big Data, and Artificial Intelligence convergent platform

ACROSS

at a glance…

Our story

Starting on 1st March 2021, the project ACROSS will run for a 3-year period with a total budget of €8.8 million. Funding of €4 million is provided by Horizon 2020, the Research and Innovation funding programme of the EU, supplemented by grants from national funding authorities and in-kind contributions of the partners. ACROSS is a consortium composed of 13 actors from 8 European countries and is coordinated by the Italian Fondazione LINKS, already working on HPC projects such as LEXIS and OPERA and FET B-CRATOS, which combine high-performance, Low Power and scalable architectures.

Our Vision

The pace at which data are generated by scientific experiments and large simulations poses new challenges in terms of capability of efficiently and effectively analysing massive data sets. Artificial Intelligence, and more specifically Machine Learning and Deep Learning, recently gained momentum for boosting simulations’ speed.  ACROSS will leverage on next generation of pre-exascale infrastructures, still being ready for exascale systems, and on effective mechanisms to easily describe and manage complex workflows in these three domains. Energy efficiency will be achieved by massive use of specialized hardware accelerators, monitoring running systems and applying smart mechanisms of scheduling jobs.

Our Technology

ACROSS will combine traditional HPC techniques with Artificial Intelligence, such as Machine Learning and Deep Learning, and Big Data analytic techniques to enhance the application test case outcomes. The performance of Machine Learning and Deep Learning will be accelerated by using dedicated hardware devices. ACROSS will also promote cooperation with other EU initiatives (e.g., BDVA, EPI) and future EuroHPC projects to foster the adoption of exascale-level computing among test case domain stakeholders.