Anders Jensen, EuroHPC JU govt director, said: “I’m proud to announce the launch of the DARE venture which marks a major milestone for European digital sovereignty. This bold initiative will drive innovation in each {hardware} and software program applied sciences and leverage the total energy of HPC and AI to develop safe, environment friendly and European-led options for the long run.”
Europe has traditionally relied on foreign-built processors and software program to drive HPC-AI techniques, leaving key industries susceptible to provide chain disruptions and exterior dependencies, EuroHPC JU stated. DARE seeks to alter that by growing absolutely European-designed processors, the important constructing blocks of future supercomputers. This may guarantee Europe can management its personal technological future, benefiting industries, researchers, and residents alike.
DARE is ready to create three new European designed and owned computing chips:
- Vector accelerator (VEC) to reinforce scientific and engineering simulations.
- AI Processing Unit (AIPU) designed for AI-powered purposes like language processing and information evaluation.
- Common-purpose processors (GPP) optimized for high-performance supercomputing duties.
These chips will energy next-generation European supercomputers, serving to researchers deal with essential challenges akin to drug discovery, local weather change modeling, and renewable vitality options.
Anders Jensen, EuroHPC JU Government Director
Osman Unsal, DARE Principal Investigator at BSC, said: “DARE is daring to begin from the highest of the technological complexity pile and produce European-designed processor chips for supercomputers, paving the best way for Europe’s digital sovereignty.”
To make sure speedy progress, DARE will undertake a {hardware} (HW)/software program(SW) design method, utilizing real-world purposes to fine-tune efficiency and capabilities. This method will speed up innovation and assist the rising demand for energy-efficient excessive efficiency computing.
House to MareNostrum 5, one in every of Europe’s strongest supercomputers, BSC has been a frontrunner in HPC analysis for years. With DARE, it’s going to assist drive the event of Europe’s first absolutely homegrown supercomputing system.
A consortium of 38 European companions, led by BSC, is collaborating on the DARE venture to advance digital autonomy in HPC and AI. Openchip, Axelera AI, Codasip, imec and JÜLICH SUPERCOMPUTING CENTRE (JSC) at FORSCHUNGSZENTRUM JÜLICH will function technical leads, driving key improvements inside the venture.
Because the venture coordinator, BSC performs a key position in advancing Europe’s supercomputing capabilities. Moreover being general coordinator, BSC may even lead roadmapping in addition to the VEC pathfinding efforts whereas taking part in HW and SW growth actions.
DARE is greater than only a analysis venture—it’s a strategic transfer in direction of technological sovereignty. By growing Europe’s personal processors and computing stack, the venture will pave the best way for future generations of supercomputers which can be designed, constructed, and optimized in Europe.
By the tip of this section, DARE could have laid the muse for a European HPC ecosystem, guaranteeing that Europe stays on the forefront of scientific discovery, innovation, and digital autonomy, in accordance with EuroHPC JU.
Digital Autonomy with RISC-V in Europe (DARE SGA1) is a large-scale European supercomputing venture that has obtained funding from the EuroHPC JU underneath grant settlement No 101202459.
DARE goals to develop prototype HPC and AI techniques primarily based on EU-designed and developed industry-standard chiplets, utilizing the newest silicon expertise nodes to realize the very best efficiency and vitality effectivity. This three-year, 38 companions initiative, with a finances of €240 million and coordinated by BSC , will develop a complete supercomputing compute stack, that includes high-performance and energy-efficient processors designed and developed in Europe, enabled by an optimized software program stack.
