| An overview of efficient interconnection networks for deep neural network accelerators SM Nabavinejad, M Baharloo, KC Chen, M Palesi, T Kogel, M Ebrahimi IEEE Journal on Emerging and Selected Topics in Circuits and Systems 10 (3 …, 2020 | 66 | 2020 |
| Mobility-aware computation offloading in edge computing using machine learning EF Maleki, L Mashayekhy, SM Nabavinejad IEEE Transactions on Mobile Computing 22 (1), 328-340, 2021 | 55 | 2021 |
| Coordinated batching and DVFS for DNN inference on GPU accelerators SM Nabavinejad, S Reda, M Ebrahimi IEEE transactions on parallel and distributed systems 33 (10), 2496-2508, 2022 | 45 | 2022 |
| Coordinated dvfs and precision control for deep neural networks SM Nabavinejad, H Hafez-Kolahi, S Reda IEEE Computer Architecture Letters 18 (2), 136-140, 2019 | 23 | 2019 |
| The memory challenge in reduce phase of MapReduce applications SM Nabavinejad, M Goudarzi, S Mozaffari IEEE Transactions on Big Data 2 (4), 380-386, 2016 | 20 | 2016 |
| BatchSizer: Power-performance trade-off for DNN inference SM Nabavinejad, S Reda, M Ebrahimi Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021 | 18 | 2021 |
| Faster mapreduce computation on clouds through better performance estimation SM Nabavinejad, M Goudarzi IEEE Transactions on Cloud Computing 7 (3), 770-783, 2017 | 12 | 2017 |
| ApproxDNN: Incentivizing DNN approximation in cloud SM Nabavinejad, L Mashayekhy, S Reda 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020 | 5 | 2020 |
| Energy efficiency in cloud-Based MapReduce applications through better performance estimation SM Nabavinejad, M Goudarzi Conference on Design, Automation & Test in Europe (DATE), 1339-1344, 2016 | 5 | 2016 |
| Communication-awareness for energy-efficiency in datacenters SM Nabavinejad, M Goudarzi Advances in Computers 100, 201-254, 2016 | 5 | 2016 |
| Data locality and VM interference aware mitigation of data skew in hadoop leveraging modern portfolio theory SM Nabavinejad, M Goudarzi Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 175-182, 2018 | 4 | 2018 |
| Inference time reduction of deep neural networks on embedded devices: A case study II Sadou, SM Nabavinejad, Z Lu, M Ebrahimi 2022 25th Euromicro Conference on Digital System Design (DSD), 205-213, 2022 | 3 | 2022 |
| BayesTuner: Leveraging Bayesian optimization for DNN inference configuration selection SM Nabavinejad, S Reda IEEE Computer Architecture Letters 20 (2), 166-170, 2021 | 3 | 2021 |
| Opportunities of Renewable Energy Powered DNN Inference SM Nabavinejad, T Guo arXiv preprint arXiv:2306.12247, 2023 | 2 | 2023 |
| MapReduce service provisioning for frequent big data jobs on clouds considering data transfers SM Nabavinejad, M Goudarzi, S Abedi Computers & Electrical Engineering 71, 594-610, 2018 | 2 | 2018 |
| On the Impact of Device-Level Techniques on Energy-Efficiency of Neural Network Accelerators SM Nabavinejad, B Salami arXiv preprint arXiv:2106.14079, 2021 | 1 | 2021 |
| Profit maximization of big data jobs in cloud using stochastic optimization SM Nabavinejad, M Goudarzi IEEE Transactions on Cloud Computing 9 (4), 1563-1574, 2019 | 1 | 2019 |
| FairCIM: Fair Interference Mitigation by DNN Switching for Latency-Sensitive Inference Jobs SM Nabavinejad, S Reda, T Guo 5th IEEE International Conference on Autonomic Computing and Self-Organizing …, 2024 | | 2024 |
| MediatorDNN: Contention Mitigation for Co-located DNN Inference Jobs SM Nabavinejad, S Reda, T Guo IEEE 17th International Conference on Cloud Computing (CLOUD), 2024 | | 2024 |
| Throughput Maximization of DNN Inference: Batching or Multi-Tenancy? SM Nabavinejad, M Ebrahimi, S Reda arXiv preprint arXiv:2308.13803, 2023 | | 2023 |
Sherief RedaProfessor, Brown University | Amazon Scholar在 brown.edu 的电子邮件经过验证
