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Research Area
energy harvesting systems, IoT
Role
Lecturer
Research Area
Low power system design
Role
Consultant
Placeholder
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 icon Members 36
Projects icon Projects 28
Articles icon Articles 7
Contributor since icon Contributor since: Wed, 06/30/2021 - 14:50
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Projects

Collaborative
Active Project
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Indonesia Collaborative SoC Platform

This program is dedicated to the development of a System on Chip (SoC) platform, specifically designed to support learning and research activities within Indonesian academic institutions. The platform serves as an educational and research tool for students, lecturers, and researchers to gain hands-on experience in digital chip design.

Collaborative
Active Project
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AHB Qspi architectural design
dwn @ soclabs

AHB eXcecute in Place (XiP) QSPI

The instruction memory in the first tape out of nanosoc was implemented using SRAM. The benefit was the read bandwidth from this memory was very fast, the downside was on a power-on-reset, all the code was erased as SRAM is volatile memory. An alternative use of non-volatile memory would benefit applications where  deployment of the ASIC does not allow, or simply time is not available for programming the SRAM after every power up. 

Reference Design
Active Project
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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
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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.