Innovation Europe
HARNESSING ACCELERATION FOR HIGHER PERFORMANCE DATA ANALYTICS AND SIMULATIONS WITH ACROSS Artificial intelligence
management system. A multi-level approach will be used to
and
are
define the workflows, manage the resource allocation beyond
poised to revolutionize
traditional queuing systems using a machine learning based
the high-performance
approach, and efficiently execute workload tasks on the
computing
big
data
(HPC)
allocated heterogeneous resources. Pilots have been selected to
domain, thanks to the new tools they offer for analysing the
demonstrate the capabilities of the ACROSS platform in three
immense amount of data generated by scientific experiments
relevant industrial and scientific domains: (1) aeronautics; (2)
and modern simulation tools. The EuroHPC project ACROSS
weather, climate, hydrological and farming; and (3) energy and
aims to develop an innovative execution platform to serve
carbon sequestration.
emerging workflows that combine large and complex numerical simulations with high-performance data analytics (HPDA),
The ACROSS platform will be backed by supercomputing and
machine learning and deep learning techniques. This platform
cloud resources provided by European HPC centers (CINECA and
will be co-designed using a large set of advanced hardware and
IT4Innovations), including a new generation of supercomputers.
software tecnologies, with a view to delivering near-exascale performance.
PROJECT NAME: ACROSS: HPC Big Data ArtifiCial intelligence cross
As such, hardware acceleration technologies will be of
START/END DATE: 01/03/2021 – 29/02/2024
Stack PlatfoRm TOwardS ExaScale primary interest for ACROSS in order to deliver maximum
EU Call: H2020-JTI-EuroHPC-2019-1
performance with minimal energy consumption. Specifically,
KEY THEMES: high-performance computing (HPC), exascale, artificial
in addition to established graphics processing units (GPUs),
intelligence (AI), high-performance data analytics (HDPA), accelera-
ACROSS will also integrate and exploit field-programmable
tors (GPUs, FPGAs, neuromorphic), HPC job scheduling and work-
gate arrays (FPGAs), neural network processors (NNPs) and
flows management
neuromorphic hardware. Looking forward, ACROSS also
PROJECT COORDINATOR: Olivier Terzo, Fondazione LINKS (Italy)
envisions the adoption of future outcomes of the European Processor Initiative (EPI), thereby simultaneously promoting first-class European technology.
olivier.terzo@linksfoundation.com DISSEMINATION MANAGER: Alberto Sconti, Fondazione LINKS (Italy)
alberto.scionti@linksfoundation.com PARTNERS: Italy: Fondazione LINKS (coordinator), CINECA, GE Avio
Energy efficiency, efficient usage of computing resources and
Aero, Consorzio Interuniversitario Nazionale per l’Informatica (CINI),
application performance will be achieved through the design
Morfo Design SRL; France: Atos (Bull SAS), Institut National de
and implementation of an innovative workflow and resource
Recherche en Informatique et en Automatique (INRIA); Czech Republic: IT4Innovations, VSB – Technical University of Ostrava; UK: European Centre For Medium-Range Weather Forecasts (ECMWF); Norway: SINTEF AS; Greece: Neuropublic AE Pliroforikis & Epikoinonion; Netherlands: Stichting DELTARES; Germany: MaxPlanck-Gesellschaft Zur Forderung Der Wissenschaften EV BUDGET: € 8.8 million (€ 4 million EU contribution)
acrossproject.eu @across_project Across Project ACROSSProjectEU The ACROSS project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement no. 955648. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Italy, The ACROSS project will be tested via pilots in aeronautics, climate and energy 32 HiPEACINFO 65
France, the Czech Republic, the United Kingdom, Greece, the Netherlands, Germany and Norway.
