6 papers
Benchmarking Ultra-Low-Power NPUs
Josh Millar, Yushan Huang, Sarab Sethi +2
Efficient on-device neural network (NN) inference offers predictable latency, improved privacy and reliability, and lower operating costs for vendors than cloud-based inference. Th…
An Architecture for Spatial Networking
Josh Millar, Ryan Gibb, Roy Ang +2
Physical spaces are increasingly dense with networked devices, promising seamless coordination and ambient intelligence. Yet today, cloud-first architectures force all communicatio…
Steps towards an Ecology for the Internet
Anil Madhavapeddy, Sam Reynolds, Alec P. Christie +10
The Internet has grown from a humble set of protocols for end-to-end connectivity into a critical global system with no builtin "immune system". In the next decade the Internet wil…
Energy-Aware Deep Learning on Resource-Constrained Hardware
Josh Millar, Hamed Haddadi, Anil Madhavapeddy
The use of deep learning (DL) on Internet of Things (IoT) and mobile devices offers numerous advantages over cloud-based processing. However, such devices face substantial energy c…
Terracorder: Sense Long and Prosper
Josh Millar, Sarab Sethi, Hamed Haddadi +1
In-situ sensing devices need to be deployed in remote environments for long periods of time; minimizing their power consumption is vital for maximising both their operational lifet…
Low-Energy On-Device Personalization for MCUs
Yushan Huang, Ranya Aloufi, Xavier Cadet +3
Microcontroller Units (MCUs) are ideal platforms for edge applications due to their low cost and energy consumption, and are widely used in various applications, including personal…