Department of Computer Engineering · University of Peradeniya
Brain-inspired hardware for energy-efficient intelligence at the edge.
PeraMorphIQ designs neuromorphic architectures for spiking neural networks, from accelerator microarchitecture and RISC-V System-on-Chip integration through to FPGA prototypes and silicon energy analysis.
What we work on
Research areas
Four connected threads, from the neuron model up to a deployable system-on-chip.
Research
Featured projects
Output
Selected publications
Updates
Latest news
About the group
Who we are
PeraMorphIQ is a neuromorphic computing research group at the Department of Computer Engineering, University of Peradeniya. We work on brain-inspired computing across the full stack: architecture design, algorithmic development and system implementation.
Our work runs end to end, from simulation frameworks and algorithmic exploration through FPGA prototypes to ASIC implementation. We build configurable neuromorphic accelerators with on-chip learning, memory and power optimisation, and real-time processing suited to embedded deployment.
By bridging neuroscience, machine learning and embedded systems, we aim at computing platforms that borrow the adaptability and energy efficiency of biological neural systems, and are small enough to actually deploy.
The group
People
Work with us
We supervise final-year and graduate projects, and we welcome collaboration with research groups and industry partners working on neuromorphic and edge AI hardware.