| FFT-Based Deep Learning Deployment in Embedded Systems S Lin, N Liu, M Nazemi, H Li, C Ding, Y Wang, M Pedram IEEE Design, Automation, and Test in Europe Conference & Exhibition (DATE), 2017 | 50 | 2017 |
| Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks S Kundu, M Nazemi, M Pedram, KM Chugg, P Beerel IEEE Transactions on Computers, 2020 | 48 | 2020 |
| DNR: A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNs S Kundu, M Nazemi, PA Beerel, M Pedram Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021 | 47 | 2021 |
| Energy-Efficient, Low-Latency Realization of Neural Networks Through Boolean Logic Minimization M Nazemi, G Pasandi, M Pedram IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2019 | 35 | 2019 |
| NullaNet: Training Deep Neural Networks for Reduced-Memory-Access Inference M Nazemi, G Pasandi, M Pedram arXiv preprint arXiv:1807.08716, 2018 | 19 | 2018 |
| ThermTap: An online power analyzer and thermal simulator for Android devices MJ Dousti, M Ghasemi-Gol, M Nazemi, M Pedram IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED …, 2015 | 18 | 2015 |
| SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning M Nazemi, A Esmaili, A Fayyazi, M Pedram 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2020 | 17 | 2020 |
| Modeling processor idle times in MPSoC platforms to enable integrated DPM, DVFS, and task scheduling subject to a hard deadline A Esmaili, M Nazemi, M Pedram IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2019 | 12 | 2019 |
| NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic M Nazemi, A Fayyazi, A Esmaili, A Khare, SN Shahsavani, M Pedram 2021 IEEE 29th Annual International Symposium on Field-Programmable Custom …, 2021 | 11 | 2021 |
| A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA M Nazemi, AE Eshratifar, M Pedram IEEE International Symposium on Quality Electronic Design (ISQED), 2018 | 11 | 2018 |
| Deploying Customized Data Representation and Approximate Computing in Machine Learning Applications M Nazemi, M Pedram IEEE/ACM International Symposium on Low Power Electronic Design (ISLPED), 2018 | 9 | 2018 |
| Energy-aware Scheduling of Task Graphs with Imprecise Computations and End-to-end Deadlines A Esmaili, M Nazemi, M Pedram ACM Transactions on Design Automation of Electronic Systems (TODAES) 25 (1 …, 2019 | 8 | 2019 |
| High-Performance FPGA Implementation of Equivariant Adaptive Separation via Independence Algorithm for Independent Component Analysis M Nazemi, S Nazarian, M Pedram IEEE International Conference on Application-specific Systems, Architectures …, 2017 | 8 | 2017 |
| Therminator 2: A Fast Thermal Simulator for Portable Devices MJ Dousti, Q Xie, M Nazemi, M Pedram IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021 | 5 | 2021 |
| ESPRESSO-GPU: Blazingly Fast Two-Level Logic Minimization H Kanakia, M Nazemi, A Fayyazi, M Pedram 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021 | 4 | 2021 |
| Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis SN Shahsavani, A Fayyazi, M Nazemi, M Pedram ACM Transactions on Reconfigurable Technology and Systems (TRETS), 2022 | 2 | 2022 |
| A Fast Training-Free Compression Framework for Vision Transformers JH Heo, A Fayyazi, M Nazemi, M Pedram arXiv preprint arXiv:2303.02331, 2023 | 1 | 2023 |
| System and method for hybrid arithmetic and logic processing of neural networks M Nazemi, A Fayyazi, A Esmaili, M Pedram US Patent App. 18/086,989, 2023 | | 2023 |
| Sensitivity-Aware Mixed-Precision Quantization and Width Optimization of Deep Neural Networks Through Cluster-Based Tree-Structured Parzen Estimation S Azizi, M Nazemi, A Fayyazi, M Pedram arXiv preprint arXiv:2308.06422, 2023 | | 2023 |
| BlendNet: Design and Optimization of a Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions A Fayyazi, M Nazemi, A Abdollahi, M Pedram arXiv preprint arXiv:2307.03784, 2023 | | 2023 |
