| Ares: A framework for quantifying the resilience of deep neural networks B Reagen, U Gupta, L Pentecost, P Whatmough, SK Lee, N Mulholland, ... Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018 | 317 | 2018 |
| Applications of deep neural networks for ultra low power IoT S Kodali, P Hansen, N Mulholland, P Whatmough, D Brooks, GY Wei 2017 IEEE International Conference on Computer Design (ICCD), 589-592, 2017 | 39 | 2017 |
| DNN ENGINE: A 16nm sub-uj deep neural network inference accelerator for the embedded masses P Whatmough, S Lee, N Mulholland, P Hansen, S Kodali, D Brooks, ... Hot Chips: A Symposium on High Performance Chips, 2017 | 9 | 2017 |
| A wide dynamic range sparse FC-DNN processor with multi-cycle banked SRAM read and adaptive clocking in 16nm FinFET SK Lee, PN Whatmough, N Mulholland, P Hansen, D Brooks, GY Wei ESSCIRC 2018-IEEE 44th European Solid State Circuits Conference (ESSCIRC …, 2018 | 5 | 2018 |
| Tensile Strain in Germanium-on-Silicon Microbridges N Mulholland University of Manchester, 2021 | | 2021 |
| InGaN QD Microdisks: Experimentation in Fabrication and Emission Enhancement N Mulholland Harvard University, 2019 | | 2019 |
| Interaction of Two-Dimensional Transition Metal Dichalcogenides on Different Substrates and Nanostructures A Greenspon, Q Ji, M Gadalla, D Wang, N Mulholland, J Kong, E Hu APS March Meeting Abstracts 2019, E13. 001, 2019 | | 2019 |
