Projects
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,...
Personalised Medicine (PerMed) opens unexplored frontiers to treat diseases at the individual level combining clinical and omics information. However, the performances of the current simulation software are still insufficient to tackle medical problems such as tumour evolution or patient-specific treatments. The challenge is to develop a sustainable roadmap to scale-up the...
This PoC project aims to pave the road to commercialize a comprehensive data analytics platform enabling data-driven biomedical innovation and precision medicine. The platform is specifically designed to efficiently fuse and mine heterogeneous omic data, including genomes, epigenomes, proteomes, metabolomes, patient clinical profiles, drugs and their chemical similarities,...
The main goal of Rising STARS is to enable a parallel programming framework for the development and execution of advanced large-scale Cyber Physical Systems (CPS) with High Performance Computing (HPC) and real-time requirements. Overall, there is an urgent necessity to develop run-time parallel frameworks, compatible with HPC, capable of guaranteeingthat decisions made at...
Mixed-Criticality Cyber-Physical Systems (MCCPS) deployed in critical domains like automotive and railway are starting to use Over The AirSoftware Updates (OTASU) for functionality improvement, bug fixing, and solving security vulnerabilities (among others). But, OTASU entailsseveral difficulties:
1) Safety including non-functional properties like...
Complex, dependable and physically-entangled systems of systems must be supported by innovations to allow for a significant reduction of the cost and complexity of system design targeting computing platforms composed of parallel heterogeneous architectures.
Software development is one key challenge, as current programming tools do not fully support...
MASTECS will bring innovative and exploitable technology for multicore processor timing analysis (MTA) to the market. It will be used by critical embedded software industries (focusing on automotive and avionics) to support advanced software functions (such as autonomous driving), which are competitive factors in every new product.
MASTECS will enable...
Existing HW/SW platforms for safety-critical systems suffer from limited performance and/or from lack flexibility due to building on specific proprietary components, which jeopardize their wide deployment across domains. While some research attempts have been done to overcome some of these limitations, their degree of success has been low due to missing flexibility and...
The De-RISC project addresses computer systems within the space and aviation domains. De-RISC Dependable Real-time Infrastructure for Safety-critical Computer is a proposed project where an international consortium will introduce a hardware and software platform based aroundthe RISC-V ISA. The work proposed in this project is to productize a multi-core RISC-V system-on-chip...
Understanding the human brain is one of our most significant scientific challenges. Such an understanding can provide profound insights into our humanity, leading to fundamentally new computing technologies and transforming the diagnosis and treatment of brain disorders. Modern ICT brings this prospect within reach.
The HBP Flagship Initiative (HBP)...