Academic Institution

People

Research Area
energy harvesting systems, IoT
Role
Lecturer
Research Area
Low power system design
Role
Consultant
Research Area
Physical and Applied Sciences
Role
Research Systems Manager
Research Area
energy-efficient computing
Role
Professor
Name
Research Area
Intermittent Computing, Energy-aware design
Role
Student
Research Area
Machine Intelligence for Nano-Electronic Devices and Systems, Secure and Resilient Hardware Implementation of AI Modules
Role
Postgraduate researcher
Research Area
Machine Intelligence for Nano-Electronic Devices and Systems | Reinforcement Learning
Role
Postgraduate Researcher

University of Southampton

Country
United Kingdom of Great Britain and Northern Ireland (the)
Members 35
Projects 26
Articles 7
Contributor since: Wed, 06/30/2021 - 14:50
AAA Member

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Projects

Reference Design
Active Project
Megasoc architecture
dwn @ soclabs

megasoc re-usable SoC platform
Rationale

megasoc has been designed to provide a complex SoC component that can 'host' and support the development and evaluation of research components or subsystems. The design allows for seamless transition from FPGA to physical silicon implementation via a pre-verified programmable control system that allows reuse of software and diagnostic functionality to facilitate the configuration, control and diagnostic analysis of research hardware such as custom accelerators or signal processing.

Reference Design
Active Project
soclabs nanosoc microcontroller framework - 2024
soclabs

nanosoc - baseline Cortex-M0 microcontroller SoC (2024 update)
A small SoC development framework to support easy integration and evaluation of academic developed research hardware such as a custom accelerators or signal processing sub-systems.
Reference Design
Active Project
Imrpoved power domain structure for nanosoc
dwn @ soclabs

nanoSoC Low Power Implementation

As part of plans for continued development of nanoSoC one area that requires improvement is the power structure of system. The first iteration of nanoSoC contained 2 power domains: the accelerator domain and the remainder of the SoC. Both power domains were connected to external pins to allow connection to separate external voltage regulators and power measurement ICs, as implemented in the first version of the nanoSoC testboard.

Collaborative
Case Study
A53 simplified testbench
SoClabs

Arm Cortex-A53 processor

There is growing interest within the SoC Labs community for an Arm A-Class SoC that can support a full operating system, undertake more complex compute tasks and enable more complicated software directed research. The Cortex-A53 is Arm's most widely deployed 64-bit Armv8-A processor and can provide these capabilities with power efficiency.