Transparent Resource Utilisation for Scientific and Enterprise Workloadsbroad
TRU-STACK · Horizon Europe grant · 2026-06-01–2029-05-31
EC contribution
Total cost
Beneficiaries
About the data
Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2025-TRANSITIONOPEN · scheme HORIZON-EIC · topic HORIZON-EIC-2025-TRANSITIONOPEN. CORDIS record →
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.
Beneficiaries (1)
| Organisation | Country | Role | EC contribution | SME |
|---|---|---|---|---|
| BARCELONA SUPERCOMPUTING CENTER CENTRO NACIONAL DE SUPERCOMPUTACION | ES | coordinator | €2,467,614 |
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