Projects
To achieve high performance and high energy efficiency on near-future exascale computing systems, a technology gap needs to be bridged: increase efficiency of computation with extreme efficiency in HW and new arithmetics, as well as providing methods and tools for seamless integration of reconfigurable accelerators in heterogeneous HPC multi-nodeplatforms.
To achieve high performance and high energy efficiency on near-future exascale computing systems, a technology gap needs to be bridged: increase efficiency of computation with extreme efficiency in HW and new arithmetics, as well as providing methods and tools for seamless integration of reconfigurable accelerators in heterogeneous HPC multi-nodeplatforms.
The eProcessor ecosystem combines open source software (SW) and hardware (HW) to deliver the first completely open source European full stack ecosystem based on a new RISC-V CPU coupled to multiple diverse accelerators that target traditional HPC and extend into mixed precision workloads for High Performance Data Analytics (HPDA), (AI, ML, DL andBioinformatics). eProcessor...
One of the main drivers for building exascale HPC systems today is the growing need to process extremely large data sets. However, the flat storage hierarchies found in classic HPC architectures no longer satisfy the performance requirements of data-processing applications. Uncoordinated file access in combination with limited bandwidth make the centralised backend parallel...
DEEP-SEA (DEEP Software for Exascale Architectures) will deliver the programming environment for future Europeanexascale systems, adapting all levels of the software (SW) stack including low-level drivers, computation andcommunication libraries, resource management, and programming abstractions with associated runtime systems and tools to support highly heterogeneous compute...
With exascale systems almost outside our door, we need now to turn our attention on how to make the most out of these large investments towards societal prosperity and economic growth.
REGALE aspires to pave the way of next-generation HPC applications to exascale systems. To accomplish this we define an open architecture, build a prototype system and...
Bridging the gap between HPC and IA/ML user communities and HPC Resources is key for unleashing Europe's innovation potential. A lot of effort has been put into building European technologies that are able to deliver centralised, petascale/exascale HPC & ML. It is equally important to make these resources easily and responsibly consumable.
Over a...
Compute- and data-driven research encompasses a broad spectrum of disciplines and is the key to Europe s global success in various scientificand economic fields. The massive amount of data produced by such technologies demands novel methods to post-process, analyze, and to reveal valuable mechanisms. The development of artificial intelligence (AI) methods is rapidly...
Predicting novel materials with specific desirable properties is a major aim of ab initio computational materials science (aiCMS) and an urgent requirement of basic and applied materials science, engineering and industry. Such materials can have immense impact on the environment and on society, e.g. on energy, transport, IT, medical-device sectors and much more. Currently,...
The Center of Excellence in Combustion (CoEC) is a collective effort to exploit Exascale computing technologies to address fundamental challenges related to combustion technologies. The CoEC vision is aligned with the decarbonization goals ofthe European power and transport sectors and the European roadmap to achieve net-zero greenhouse gas emissions by 2050. The consortium...