SOURCE-LINKED INTELLIGENCE
Open Design Environment for European Chips - Digital SoC Design
timing models and dynamic power estimations. Tool interoperability and flow orchestration will be improved through standardized APIs, which will also ensure sustainable and reproducible design flows. Machine learning will automate multi-objective optimization to improve PPA (Power, Performance, and Area) metrics. Memory integration will be streamlined by developing a standard interface and validated SRAM macros. The project will also support advanced packaging and die-to-die communication with open Application Design Kits (ADKs) and physical demonstrators. The tools will be validated through rigorous testing and multiple tapeouts. The consortium is built on a strong and active community of developers and strives to involve more users who can contribute to developing and maintaining open-source EDA tools. By facilitating knowledge sharing and collaboration, ODE4EC-DIG aims to accelerate the adoption of open-source EDA solutions and drive the growth of the European microelectronics ecosystem. ODE4EC-DIG addresses the ""Open-source EDA tools development"" call, aiming to improve and de
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 8182400.49
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.