An HKU Engineering team has bypassed the von Neumann bottleneck, creating a new computer chip with minimalist architecture that performs complex searches right where the data is stored!
The explosion of artificial intelligence (AI) and the rise of edge computing are transforming the world, but they’ve also exposed a critical flaw in traditional computer hardware: the slow and energy-consuming data transfer between memory and processors – also known as the von Neumann bottleneck.
Now, a group of researchers led by Professor Can Li from the Department of Electrical and Computer Engineering of the Faculty of Engineering and the Centre for Advanced Semiconductors and Integrated Circuits (CASIC) and Dr Guoyun Gao, have used two-dimensional materials to produce a smaller chip that manages to be both fast and power-efficient, achieving record-breaking energy consumption of under 0.1 femtojoules per search per cell, and a latency of just 36 picoseconds – faster than the speed of light.
“From an application perspective, search operations are incredibly valuable,” explained Professor Li. “While large-scale commercialisation still requires overcoming engineering challenges in packaging, this research has successfully proven the principle, providing a clear blueprint for next-generation, high-performance AI hardware.”
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HKU# #
UniversityofHongKong# #
Engineering# #
Computing# #
AI# #
香港大學# #
港大#