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Transparent Resource Utilisation for Scientific and Enterprise Workloads

Objective

HPC, HPDA, and AI/ML workloads power modern science and industry, yet their growing complexity often leaves hardware underutilised. Real workloads interleave compute-heavy and serial phases, causing idle resources and inefficiencies. One way to unlock more parallelism is to execute multiple independent applications concurrently and fill these gaps. However, today’s operating systems and hypervisors lack mechanisms to coordinate multiple parallel runtimes safely on the same node. As a result, operators avoid co-location, sacrificing throughput, wasting energy, and inflating costs.

uHyper is a breakthrough user-space hypervisor that enables concurrent execution of parallel applications on shared nodes without requiring code changes. Positioned between the OS and runtimes such as MPI, OpenMP, or Python, uHyper orchestrates their execution to prevent interference and unlock latent performance. Early results consistently show more than 30% shorter execution times and at least 25% lower energy use compared to best-practice baselines.

These gains translate directly into economic impact. In public cloud environments, uHyper reduces billable instance-hours, while on-premise systems benefit from lower energy consumption (OPEX) and smaller infrastructure needs (CAPEX). Even modest adoption in the multi-billion-euro parallel workloads market generates significant value. As a software-only, drop-in solution, uHyper can be deployed rapidly and at scale.

By turning idle capacity into results, uHyper supports the European Green Deal by lowering energy per unit of work, strengthens digital sovereignty through a vendor-neutral orchestration layer, and enhances competitiveness in sectors such as pharmaceuticals, automotive, and advanced engineering. The project will culminate in a dedicated spin-off company to commercialise the technology through an open-core model and alliances with OEMs and integrators, ultimately delivering more science and more public value per euro.

Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-EIC - HORIZON EIC Grants

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-EIC-2025-TRANSITIONOPEN

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Coordinator

BARCELONA SUPERCOMPUTING CENTER CENTRO NACIONAL DE SUPERCOMPUTACION
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 467 613,55
Address
CALLE JORDI GIRONA 31
08034 BARCELONA
Spain

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Region
Este Cataluña Barcelona
Activity type
Research Organisations
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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