Mass Efficient Computing
Lead Research Organisation:
University of Cambridge
Department Name: Engineering
Abstract
Traditionally, a computing system is optimised for one of two things; power or performance. Mass-Efficient computing sees that adoption of a new paradigm, where the system is instead optimised for mass. By developing an architecture tailored to minimising mass, it is expected that it is possible to reduce the mass of a contemporary system by a factor of 2-5 times.
A mass-efficient architecture shall optimise at the system level, using the state-of-the-art in energy scavenge systems, photovoltaics, sensors, actuators, energy storage, imaging systems and microelectronics. It is expected that trading off different parts of these systems, combined with a new way of thinking with mass-efficient systems shall lead to novel solutions. A successful implementation of mass-efficient computing shall have significant implications across a number of fields such as nano-drones, implantable medical devices, miniaturised sensors and robotics.
A mass-efficient architecture shall optimise at the system level, using the state-of-the-art in energy scavenge systems, photovoltaics, sensors, actuators, energy storage, imaging systems and microelectronics. It is expected that trading off different parts of these systems, combined with a new way of thinking with mass-efficient systems shall lead to novel solutions. A successful implementation of mass-efficient computing shall have significant implications across a number of fields such as nano-drones, implantable medical devices, miniaturised sensors and robotics.
Organisations
People |
ORCID iD |
| Andrew Kadis (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/N509620/1 | 30/09/2016 | 29/09/2022 | |||
| 2108797 | Studentship | EP/N509620/1 | 30/09/2018 | 30/12/2021 | Andrew Kadis |
| NE/W503204/1 | 31/03/2021 | 30/03/2022 | |||
| 2108797 | Studentship | NE/W503204/1 | 30/09/2018 | 30/12/2021 | Andrew Kadis |