
ISNI: 0000000107756028
FundRef: 501100002835 , 501100022277 , 501100006552
The HPC Digital Autonomy with RISC-V in Europe (DARE) will invigorate the continent’s High Performance Computing ecosystem by bringing together the technology producers and consumers, developing a RISC-V ecosystem that supports the current and future computing needs, while at the same time enabling European Digital Autonomy. DARE takes a customer-first approach (HPC Centres & Industry) to guide the full stack research and development. DARE leverages a co-design software/hardware approach based on critical HPC applications identified by partners from research, academia, and industry to forge the resulting computing solutions. These computing solutions range from general purpose processors to several accelerators, all utilizing the RISC-V ecosystem and emerging chiplet ecosystem to reduce costs and enable scale. The DARE program defines the full lifecycle from requirements to deployment, with the computing solutions validated by hosting entities, providing the path for European technology from prototype to production systems. The six year time horizon is split into two phases, enabling a DARE plan of action and set of roadmaps to provide the essential ingredients to develop and procure EU Supercomputers in the third phase. DARE defines SMART KPIs for the hardware and software developments in each phase, which act as gateways to unlock the next phase of development. The DARE HPC roadmaps (a living document) are used by the DARE Collaboration Council to maximize exploitation and spillover across all European RISC-V projects. DARE addresses the European HPC market failure by including partners with different levels of HPC maturity with the goal of growing a vibrant European HPC supply chain. DARE Consortium partners have been selected based on the ability to contribute to the DARE value chain, from HPC Users, helping to define all the requirements, to all parts of the hardware development, software development, system integration and subsequent commercialization.
Advancing education and training in High Performance Computing (HPC) and its applicability to HPDA and AI is essential for strengthening the world-class European HPC ecosystem. It is of primary importance to ensure the digital transformation and the sustainability of high-priority economic sectors. Missing educated and skilled professionals in HPC/HPDA/AI could prevent Europe from creating socio-economic value with HPC. The Hpc EuRopean ConsortiUm Leading Education activities (HERCULES) aims to develop a new and innovative European Master programme focusing on high performance solutions to address these issues. The master programme aims at catalysing various aspects of the HPC ecosystem and its applications into different scientific and industrial domains. HERCULES brings together major players in HPC education in Europe and mobilises them to unify existing programs into a common European curriculum. It leverages experience from various European countries and HPC communities to generate European added value beyond the potential of any single university. HERCULES emphasizes on collaboration across Europe with innovative teaching paradigms including co-teaching and the cooperative development of new content relying on the best specialists in HPC education in Europe. Employers, researchers, HPC specialists, supercomputing centres, CoEs and technology providers will constitute a workforce towards this master in HPC pilot programme. This pilot will provide a base for further national and pan-European educational programmes in HPC all over Europe and our lessons learned and the material development will accelerate the uptake of HPC in academia and industry. The creation of a European network of HPC specialists will catalyse transfers and mutual support between students, teachers and industrial experts. A particular focus on mobility of students and teachers will enable students to rapidly gain experience through internships and exposure to European supercomputing centres
The overarching goal of MUMMERING is to create a research tool that encompasses the wealth of new 3D imaging mo-dalities that are surging forward for applications in materials engineering, and to create a doctoral programme that trains 15 early stage researchers (ESRs) in this tool. This is urgently needed to prevent that massive amounts of valuable tomogra-phy data ends on a virtual scrapheap. The challenge of handling and analysing terabytes of 3D data is already limiting the level of scientific insight that is extracted from many data sets. With faster acquisition times and multidimensional modali-ties, these challenges will soon scale to the petabyte regime. To meet this challenge, we will create an open access, open source platform that transparently and efficiently handles the complete workflow from data acquisition, over reconstruction and segmentation to physical modelling, including temporal models, i.e. 3D “movies”. We consider it essential to reach this final step without compromising scientific standards if 3D imaging is to become a pervasive research tool in the visions for Industry 4.0. The 15 ESRs will be enrolled in an intensive network-wide doctoral training programme that covers all aspects of 3D imag-ing and will benefit from a varied track of intersectoral secondments that will challenge and broaden their scope and ap-proach to research. The ESRs will exit the MUMMERING network as highly attractive and employable PhDs with a practical and qualified take on industrial research.
TThe 6GTandem project will demonstrate ultra-high-capacity coverage, off-load of lower frequency bands and new services such as sub-cm resolution sensing and positioning in high traffic areas by adding sub-THz carriers to lower frequency bands in a seamless, tightly coordinated fashion. The two frequency bands will form a network collaborating and supporting each other in a “tandem” configuration enabling an introduction of high capacity, energy efficient, sub-THz enabled services, while mitigating known drawbacks of the sub-THz frequency bands such as susceptibility to line-of-sight blockage, coverage, and cost. Deployment will be addressed through the introduction of a thin and light dielectric waveguide to distribute a sub-THz RF signal through a daisy chain of integrated low-power antenna units, referred to as a “radio stripe”. We will demonstrate the use of lower, sub-10 GHz frequency bands to support the sub-THz band with resilience and coverage and the implementation of a distributed MIMO system to extend the coverage of the sub-THz band as well as offering capacities in the order of Tbps system throughput. We will demonstrate the possibility to implement local fronthaul solutions for added sub-10GHz access points using the high bandwidth of sub-THz radio stripes. Key elements for 6GTandem: - A system defining an ‘aligned tandem’ dual-frequency distributed MIMO architecture - Medium-aware waveforms, transmission schemes and communication strategies for energy-efficient operation and development of cross-layer solutions to offer required service levels on the novel dual-frequency infrastructure - Novel, “radio stripe” hardware including transceivers at 130GHz-175GHz, packaging, integration, and plastic waveguide for a low-cost, easy-deployable sub-THz infrastructure - Conception of a combined low-frequency and sub-THz distributed MIMO system supporting joint high-resolution sensing, high-accuracy positioning, and high-resilience and reliability communication.