| GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference A Hadi Zadeh, I Edo, OM Awad, A Moshovos 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2020 | 134 | 2020 |
| Tensordash: Exploiting sparsity to accelerate deep neural network training M Mahmoud, I Edo, AH Zadeh, OM Awad, G Pekhimenko, J Albericio, ... 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020 | 70 | 2020 |
| A matrix-inversion technique for FPGA-based real-time EMT simulation of power converters A Hadizadeh, M Hashemi, M Labbaf, M Parniani IEEE transactions on industrial electronics 66 (2), 1224-1234, 2018 | 45 | 2018 |
| FPRaker: A processing element for accelerating neural network training OM Awad, M Mahmoud, I Edo, AH Zadeh, C Bannon, A Jayarajan, ... MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021 | 16 | 2021 |
| Mokey: enabling narrow fixed-point inference for out-of-the-box floating-point transformer models AH Zadeh, M Mahmoud, A Abdelhadi, A Moshovos Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 12 | 2022 |
| Deep Learning Language Modeling Workloads: Where Time Goes on Graphics Processors A Hadi Zadeh, Z Poulos, A Moshovos 2019 IEEE International Symposium on Workload Characterization (IISWC), 131-142, 2019 | 11 | 2019 |
| Parallel processor architecture with a new algorithm for simultaneous processing of mips-based series instructions A Hadizadeh, E Tanghatari Emerging Science Journal 1 (4), 226-232, 2017 | 7 | 2017 |
| Schrodinger's FP: Dynamic Adaptation of Floating-Point Containers for Deep Learning Training M Nikolić, ET Sanchez, J Wang, AH Zadeh, M Mahmoud, A Abdelhadi, ... arXiv preprint arXiv:2204.13666, 2022 | 1 | 2022 |
| Quantization for neural network computation A Moshovos, AH Zadeh, IE Vivancos, OM Awad US Patent App. 18/026,927, 2023 | | 2023 |
| Fast and Energy-Efficient Inference for Attention-Based Natural Language Processing Models A Hadi Zadeh | | 2023 |
| Quantization for neural network computation A Moshovos, AH Zadeh, IE Vivancos, OM Awad US Patent App. 17/130,690, 2022 | | 2022 |
| A Novel Algorithm for Design and Hardware Implementation of FPGA-Based Real-Time Simulator for Electrical Machines in HIL Applications A Hadizadeh, M Hashemi, M Parniani Journal of Iranian Association of Electrical and Electronics Engineers 16 …, 2019 | | 2019 |
Andreas MoshovosProfessor, Electrical and Computer Engineering, University of TorontoVerified email at eecg.toronto.edu
