The semiconductor industry is undergoing a rapid transformation. Artificial intelligence (AI) applications, such as agentic and physical AI, push compute demands to unprecedented heights, prompting the semiconductor industry to push the boundaries of 2nm technology and beyond.
Yet, as we move to these advanced semiconductor technology nodes, it has become increasingly challenging for academic research to remain closely connected with the fast-evolving industrial developments, limiting academic researchers in driving innovation.
Europe’s NanoIC pilot line, a pioneering European initiative, hosted by imec, is addressing this challenge by offering pathfinding process design kits (P-PDKs). To cover the potential of these P-PDKs and their impact on Europe’s semiconductor ecosystem, we sat together with Professor Mehdi Tahoori (professor at Karlsruhe Institute of Technology) and Anita Farokhnejad (DTCO Program Manager at imec).
SEMI: What exactly is a P-PDK, and how does it differ from traditional PDKs?
Farokhnejad: At its core, a process design kit (PDK) is a software environment that enables circuit designers to simulate, validate, and optimize chip designs using realistic models of chip technology. Consider it a blueprint or a simulation toolkit allowing chip designers to explore performance, power, and manufacturability of a new chip architecture in a virtual sandbox.
What sets P-PDKs apart is that they anticipate future technologies. Unlike traditional PDKs, which are based on existing technologies, P-PDKs are built on predictive models of future nodes and architectures. This allows researchers to explore system-level trade-offs, assess architectural implications, and prepare design flows before a technology reaches maturity.
SEMI: Why are they so crucial for academia?
Tahoori: For decades, academic researchers could contribute to semiconductor innovation using abstraction layers that allowed them to design and test new architectures without direct access to the latest technologies. This approach worked well until the industry reached the 20-nanometer node. At that point, the complexity of semiconductor design increased, with the introduction of advanced device architectures like FinFETs, nanosheets, Forksheets, CFETs, and novel integration solutions such as 3D stacking and chiplet integration.
Transistor scaling in the AI era
Traditional abstraction models could no longer keep up with these advances, and the gap between academic research and industrial practice began to widen. This growing gap started to limit academia’s ability to participate in semiconductor paradigm shifts, such as CMOS 2.0 and new computing architectures.
P-PDKs, enabled by the NanoIC pilot line, aim to bridge this gap, restoring the connection between academic thinking and industrial progress.
SEMI: How does this support semiconductor innovation in Europe?
Tahoori: Universities are ideally positioned to drive out-of-the-box innovation and invent new paradigms for computing. This is where universities truly excel. But to do that, they need access to the latest technologies and tools.
We see for example a strong focus on the AI revolution and how the microelectronics industry is enabling that transformation. To meet the demands of AI applications and the computing power they require, we need to design new computing architectures based on advanced technology nodes. This is precisely the academic area of expertise. To design these new AI computing architectures, however, we need the most advanced technologies available. The P-PDKs for advanced nodes provided by the NanoIC pilot line now make this kind of research possible at universities. Something that was not feasible before.
Additionally, the P-PDKs also provide an important reference technology and platform to benchmark and validate these innovations within a next-generation design roadmap. This means researchers can test their novel architectures against realistic process and performance metrics.
SEMI: Are they only available for academia?
Farokhnejad: The NanoIC P-PDKs are meant to be accessible to foster innovation across Europe’s semiconductor ecosystem. These advanced PDKs are therefore also available to European research organizations, startups, and industry partners. Access is facilitated through Europractice, where eligible users can apply by signing a Design Kit License Agreement (DKLA). Once approved, they gain access to the PDKs.
SEMI: What other technology nodes are NanoIC’s PDKs addressing?
Farokhnejad: The first P-PDK was released in June (first version of the N2) and supports frontside and backside routing with TSVM, standard cell libraries, and multiple VT flavors for early-stage design exploration. Upcoming releases include new versions of the N2 P-PDK, as well as A14 and A7 PDKs, eDRAM and SOT memory PDKs, and advanced interconnect solutions such as redistribution layers (RDL), hybrid bonding, and interposers.
Those interested in learning more about the NanoIC ecosystem and the research enabled by the P-PDKs can meet representatives and partners of the NanoIC pilot line during SEMICON Europa, November 18-21 at booth C2417 in Messe Munchen. More information about the initiative is also available on the NanoIC website.
Bios
Mehdi Tahoori, Professor & Chair of Dependable Nano-Computing - Karlsruhe Institute of Technology
Mehdi B. Tahoori is Professor and Chair of Dependable Nano-Computing at the Karlsruhe Institute of Technology (KIT), Germany, and guest professor at imec, focusing on CMOS 2.0 and future chip technologies. He previously worked at Xilinx (USA), Fujitsu Labs (USA), and served as a junior professor at Boston Northeastern University (USA) and as a visiting professor at the University of Tokyo (Japan). He earned his B.S. from Sharif University (Iran) and M.S./Ph.D. from Stanford (USA). Prof. Tahoori is Deputy Editor-in-Chief of IEEE Design and Test Magazine, is a former Editor-in-Chief of Elsevier Microelectronic Reliability and has chaired major IEEE symposia. His honors include multiple best paper nominations and conference awards, the US National Science Foundation Early Faculty Development (CAREER) Award (2008), an ERC Advanced Grant (2022), and an IEEE fellowship.
Anita Farokhnejad, DTCO Program Manager - imec
Anita Farokhnejad earned her PhD from Universitat Rovira i Virgili (Spain), specializing in FEOL and device modelling. She joined imec in 2021 as an R&D Engineer, focusing on BEOL optimization and future roadmap development. Collaborating closely with integration and physical design teams, she develops models for PnR data analysis and BEOL optimization. Her recent work on the enhanced Ring Oscillator (eRO) model aids in the early assessment of new materials and BEOL boosters. In August 2023, she advanced to team lead for PDK Enablement, translating advanced semiconductor nodes into Pathfinding-PDKs. Farokhnejad is also dedicated to education, conducting courses that make sophisticated technological concepts accessible to both industry veterans and aspiring engineers. Currently, she serves as Program Manager of DTCO at imec, where her contributions continue to drive innovation in the semiconductor industry.
Acknowledgement
This work was enabled by the NanoIC pilot line. The acquisition and operation are jointly funded by the Chips Joint Undertaking, through the European Union’s Digital Europe (101183266) and Horizon Europe programs (101183277), as well as by the participating states Belgium (Flanders), France, Germany, Finland, Ireland and Romania. For more information, visit https://www.nanoic-project.eu.
Disclaimer
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Chips Joint Undertaking. Neither the European Union nor the granting authority can be held responsible for them.
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