Completed Computing & AI Engineering

Custom Computing for Advanced Digital Systems

In plain English

AI plain-English summary

Custom computing engineers are designing chips and software that can be reconfigured on the fly to handle radically different tasks—from monitoring a patient’s heartbeat to modelling financial risk—without needing separate hardware for each job. This matters because today’s digital systems are often built with fixed, one-size-fits-all chips that waste energy and computing power. By creating customisable, self-adapting architectures, the team aims to make advanced digital systems far more efficient and versatile. The research targets three strategic gaps: building heterogeneous hardware that can be tailored for specific uses, developing systems that automatically adjust their own performance and power use, and designing security-aware architectures that can resist attacks without sacrificing speed. If successful, the work could quietly transform infrastructure that people rarely think about: medical imaging machines that adapt to each scan, energy grids that rebalance themselves in real time, and secure communications for emergency services. The project is fundamentally exploratory—it will identify the most promising directions for future responsive-mode funding—but its core goal is to keep the UK at the leading edge of the custom computing that underpins everything from environmental monitoring to national security.

View original technical description
Advanced digital systems provide many exciting opportunities for UK economic growth. Our current Platform Grant has enabled us to implement a strategy of developing novel custom computing solutions, which involve customising the latest hardware and software elements, to meet demanding requirements from many applications. These include embedded systems applications such as software-defined radio and patient monitoring, as well as high-performance computing applications such as financial modelling and medical imaging. Continued Platform Grant funding will allow us to build on our success, to support strategic development of our team, and to extend our lead in custom computing technology to cover a wide variety of advanced digital systems for healthcare, environment, and security applications.There are three new strategic directions on which we are uniquely capable of making major impacts. We plan to conduct exploratory research to identify promising projects for responsive-mode funding for the following:1. customisable heterogeneous architectures, including design space exploration of devices and systems, relevant development methods and tools, and prototyping platforms and design portability enhancement;2. self-adapting design, including architecture innovations, adaptation policies and optimisation strategies, and design and verification flow;3. security-aware systems, including architecture enhancements, compilation and test generation environments, and experimental facilities and demonstration flow.The added value aspects for this Platform Grant proposal include: (a) providing continuity of support, (b) exploring significant strategic directions, (c) contributing to research infra-structure, (d) attracting fresh talents, (e) pioneering and strengthening international collaborations, and (f) accelerating technology transfer.

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Researchers

Christos Bouganis (Co-Investigator)Cristian Cadar (Co-Investigator)George Constantinides (Co-Investigator)Oskar Mencer (Co-Investigator)Paul Kelly (Co-Investigator)Peter Pietzuch (Co-Investigator)Peter Y K Cheung (Co-Investigator)Wayne Luk (Principal Investigator)

Related Research

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Original classification

Research Grant

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.