Worldwide adoption of asynchronous circuits and improved business process modelling
For the past 20 years a cross-discipline team at Newcastle University, UK, has been bringing together expertise in causality modelling to find new ways of improving processes that touch on our daily lives.
Their research into this specific type of mathematical modelling allows them to estimate and forecast the outcome of a given situation based on the relationships between a number of variables and can be used, for example, to establish whether a new piece of equipment will help alleviate bottlenecks in hospital services. Their sophisticated hardware and software technologies now help complex organisations to handle and make sense of huge quantities of data and increase the accuracy of the decisions they make.
Powering financial markets
Transactions worth billions of pounds taking place every day on the New York Stock Exchange and the NASDAQ are powered by hardware made by Intel and designed with the help of research that was carried out at Newcastle University.
This research was crucial to the worldwide adoption of asynchronous microprocessor chips, sometimes described as clockless chipsbecause they don’t use a clock to time the entire chip and can overcome resulting speed and power-supply headaches.
Financial traders now rely on these fast and powerful chips when analysing vast quantities of data.
The substantial body of work was led by Alex Yakovlev, Professor of Computer Systems Design, and Maciej Koutny, Professor of Computing Science.
Professor Yakovlev added: “New technologies and the Internet of Things, will depend on close interaction between computers and the electrical devices we use. Without a common language between the two this could not progress.
“The fundamental research carried out at Newcastle University is helping to find the common ground between the two disciplines and accelerate the exciting progress being made.”
- Read more about Professor Alex Yakovlev’s research and publications
- Find out more about Professor Maciej Koutny’s research and publications