Dynamic and reconfigurable data centre networks with modular optical subsystems (DYNAMOS)
PartnerDYNAMOS develops fast (1 ns) and widely tunable (>110 nm) lasers, energy-efficient (~ fJ/bit), broadband (100 GHz) electro-optic modulators, and high-speed (1 ns) broadcast-and-select packet switches as photonic integrated circuits (PICs). DYNAMOS meets the expected outcome objectives and call scope by proposing the development of low energy (few pJ/bit) PICs, which are integrated into modular and scalable subsystems, and subsequently utilized to demonstrate novel data centre networks with highly deterministic sub-microsecond latency to enable maximum congestion reduction, full bisection bandwidth (lower congestion) and guaranteed quality of service while reducing cost per Gbps. The proposed network offers optical circuit switched reconfiguration and guaranteed (contention-less) full-bisection bandwidth, allowing any computational node to communicate to any other node at full-capacity. DYNAMOS builds on recent developments in III-V optoelectronics, thick silicon-on-insulator waveguide technology, and silicon organic hybrid (SOH) modulators. It co-develops the entire ecosystem of transceivers, switches and networks to boost overall performance and to reducing the total cost of data exchange, instead of focusing on the improvement of individual optical links or interfaces. The objectives of DYNAMOS perfectly match the major photonics research & innovations challenges defined in the Photonics21 Multiannual Strategic Roadmap 2021-2027.
- EC contribution:
- EUR 627k
- Start:
- 2022-08-01
- End:
- 2027-04-30
- Status:
- SIGNED
- Scheme:
- HORIZON-IA
- Call:
- HORIZON-CL4-2021-DIGITAL-EMERGING-01
data exchange
View on CORDIS (DOI 10.3030/101070342)
Smart systems for environmental pollution detection and biogas production based on cloud-connected silicon photonic and microelectronic hyperspectral sensors (SYMPHONY)
PartnerAir pollution poses a great environmental risk to health, accounting for nearly half a million premature deaths each year in Europe. Biogas production is an enabling technology to achieve net-zero emissions, while accelerating the energy diversification in Europe. Both, air quality control and biogas production demand critical improvements in sensor technology. SYMPHONY will develop a new technology enabling the implementation of dense networks of cloud-connected, low-cost, portable and easy-to-use sensors, capable of multi-target detection for applications in air quality control, pollution monitoring, industrial process control and safety. SYMPHONY will address this challenge by making key developments in silicon photonics, neuromorphic circuits, artificial intelligence, integration, and packaging, while exploiting state-of-the-art silicon microelectronics for ultra-low power edge computing with artificial intelligence, and the connected sensor network for spatially-resolved analysis and prediction. The main focus of SYMPHONY smart sensors are gases related to the biogas production and gases that have been identified by the European Environmental Agency (EEA) as highly pollutant and contributing to the greenhouse effect, such as CO2, CH4 and NO2. SYMPHONY smart sensors will be validated in three different relevant scenarios: city pollution monitoring in Cyprus, process control and leakage detection in biogas micro-plants in multiple locations in Europe. With this ambition in mind, SYMPHONY has gathered a transversal consortium, comprising three academic institutions, two research institutes, four companies and two end-users, coming from seven different countries in Europe. The consortium covers the full value chain, including silicon photonics, neuromorphic circuits, silicon microelectronics, integration, packaging, artificial intelligence, gas sensing, the internet of things, biogas production and air pollution monitoring.
- EC contribution:
- EUR 447k
- Start:
- 2024-04-01
- End:
- 2027-09-30
- Status:
- SIGNED
- Scheme:
- HORIZON-RIA
- Call:
- HORIZON-CL4-2023-DIGITAL-EMERGING-01
artificial intelligenceinternet of thingsbiomass energysensorsmetalloids
View on CORDIS (DOI 10.3030/101135523)