Imperial College London


Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Research Postgraduate



Electrical EngineeringSouth Kensington Campus






Montgomerie-Corcoran A, Yu Z, Bouganis C-S, 2022, SAMO: Optimised Mapping of Convolutional Neural Networks to Streaming Architectures, 2022 32nd International Conference on Field-programmable Logic and Applications, Fpl, ISSN:1946-1488, Pages:418-424


Toupas P, Montgomerie-Corcoran A, Bouganis C-S, et al., 2023, HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices, 31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), IEEE COMPUTER SOC, Pages:144-154, ISSN:2576-2613

Montgomerie-Corcoran A, Bouganis C-S, 2021, POMMEL: Exploring Off-Chip Memory Energy & Power Consumption in Convolutional Neural Network Accelerators, 24th Euromicro Conference on Digital System Design (DSD), IEEE COMPUTER SOC, Pages:442-448

Montgomerie-Corcoran A, Savvas-Bouganis C, 2021, DEF: Differential Encoding of Featuremaps for Low Power Convolutional Neural Network Accelerators, 26th Asia and South Pacific Design Automation Conference (ASP-DAC), IEEE, Pages:703-708, ISSN:2153-6961

Montgomerie-Corcoran A, Venieris S, Bouganis C-S, 2019, Power-Aware FPGA Mapping of Convolutional Neural Networks, International Conference on Field-Programmable Technology (ICFPT), IEEE COMPUTER SOC, Pages:327-330

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