| Microscaling data formats for deep learning BD Rouhani, R Zhao, A More, M Hall, A Khodamoradi, S Deng, ... arXiv preprint arXiv:2310.10537, 2023 | 161 | 2023 |
| -Space Spatiotemporal Filter for Reducing Noise in Neuromorphic Vision Sensors A Khodamoradi, R Kastner IEEE Transactions on Emerging Topics in Computing 9 (1), 15-23, 2018 | 131 | 2018 |
| S2n2: A fpga accelerator for streaming spiking neural networks A Khodamoradi, K Denolf, R Kastner The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays …, 2021 | 80 | 2021 |
| Benchmarking vision kernels and neural network inference accelerators on embedded platforms M Qasaimeh, K Denolf, A Khodamoradi, M Blott, J Lo, L Halder, K Vissers, ... Journal of Systems Architecture 113, 101896, 2021 | 57 | 2021 |
| Real-time automatic modulation classification using RFSoC S Tridgell, D Boland, PHW Leong, R Kastner, A Khodamoradi 2020 IEEE International Parallel and Distributed Processing Symposium …, 2020 | 36 | 2020 |
| SPARTA: spatial acceleration for efficient and scalable horizontal diffusion weather stencil computation G Singh, A Khodamoradi, K Denolf, J Lo, J Gómez-Luna, J Melber, ... Proceedings of the 37th International Conference on Supercomputing, 463-476, 2023 | 24 | 2023 |
| RUBICON: a framework for designing efficient deep learning-based genomic basecallers G Singh, M Alser, K Denolf, C Firtina, A Khodamoradi, MB Cavlak, ... Genome Biology 25 (1), 49, 2024 | 20 | 2024 |
| Tailor: Altering Skip Connections for Resource-Efficient Inference O Weng, G Marcano, V Loncar, A Khodamoradi, A G, N Sheybani, A Meza, ... ACM Transactions on Reconfigurable Technology and Systems 17 (1), 1-23, 2024 | 18 | 2024 |
| A computer vision based candidate for functional balance test A Nalci, A Khodamoradi, O Balkan, F Nahab, H Garudadri 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 13 | 2015 |
| A framework for designing efficient deep learning-based genomic basecallers G Singh, M Alser, A Khodamoradi, K Denolf, C Firtina, MB Cavlak, ... bioRxiv, 2022.11. 20.517297, 2022 | 11 | 2022 |
| Aslr: An adaptive scheduler for learning rate A Khodamoradi, K Denolf, K Vissers, RC Kastner 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 9 | 2021 |
| The evolution of domain-specific computing for deep learning S Neuendorffer, AK Khodamoradi, K Denolf, AK Jain, S Bayliss IEEE Circuits and Systems Magazine 21 (2), 75-96, 2021 | 9 | 2021 |
| Microscaling data formats for deep learning, 2023 BD Rouhani, R Zhao, A More, M Hall, A Khodamoradi, S Deng, ... URL https://arxiv. org/abs/2310.10537, 0 | 8 | |
| Microscaling data formats for deep learning B Darvish Rouhani, R Zhao, A More, M Hall, A Khodamoradi, S Deng, ... arXiv e-prints, arXiv: 2310.10537, 2023 | 3 | 2023 |
| Adapting skip connections for resource-efficient fpga inference O Weng, G Marcano, V Loncar, A Khodamoradi, N Sheybani, ... Proceedings of the 2023 ACM/SIGDA International Symposium on Field …, 2023 | 2 | 2023 |
| Siddharth,“Real-time Automatic Modulation Classification using RFSoC” S Tridgell, D Boland, PHW Leong, R Kastner, A Khodamoradi 2020 IEEE International Parallel and Distributed Processing Symposium …, 0 | 2 | |
| Leveraging the IRON AI Engine API to program the Ryzen™ AI NPU J Melber, K Denolf, A Schmidt, A Bisca, J Fifield, A Khodamoradi, ... 57th IEEE/ACM International Symposium on Microarchitecture (MICRO'24) Tutorial, 2024 | 1 | 2024 |
| Instruction pruning for neural networks A Khodamoradi, K Denolf US Patent App. 18/072,012, 2024 | 1 | 2024 |
| Hardware-efficient residual networks for FPGAs O Weng, A Khodamoradi, R Kastner arXiv preprint arXiv:2102.01351, 2021 | 1 | 2021 |
| Reshaping Deep Neural Networks for Efficient Hardware Inference A Khodamoradi University of California, San Diego, 2021 | 1 | 2021 |
