ASYNC-IC Lab
DTU Asynchronous Integrated Circuit Laboratory
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Research

We build asynchronous integrated circuits - data and event-driven silicon — as well as mixed-signal and custom integartion with colaborators, and the design EDA tools that go with them. Our work spans the full stack, from custom circuit and cell libraries, memory to architecture and System-on-Chip alongside the EDA flow. Our chips are application focused and we are particualrly looking into smart sensing and hardware for miniture robotics.

Asynchronous IC design

Clockless, event-driven circuits and architectures. Removing the global clock enables data-driven activity, fine-grained power gating and robustness to variation — properties we exploit for energy efficiency and modularity.

Selected papers:

Neuromorphic / bio-inspired AI hardware

Efficient, low-power bio-inspired neurosynaptic AI processor pipelines. We take inspiration from biological neural systems to build unconventional, highly efficient AI processors — spiking and mixed-signal architectures that push the efficiency boundary beyond conventional synchronous accelerators.

Selected papers:

Smart sensing & hardware for miniature robotics

Hardware for closed-loop robotics at small scale: smart sensors and event-driven processing co-designed with the actuation loop, where low power and low latency are decisive.

Selected papers:

EDA for asynchronous design

Asynchronous design is only practical with the right tools. We develop and extend EDA for async circuits — synthesis, verification and layout flows — much of it open source. See Software & Tools.

Selected papers:


Research is realized in silicon: see the Chips we have taped out.