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Seyed Morteza Nabavinejad
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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
662020
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
552021
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
452022
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
232019
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
202016
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
182021
Faster mapreduce computation on clouds through better performance estimation
SM Nabavinejad, M Goudarzi
IEEE Transactions on Cloud Computing 7 (3), 770-783, 2017
122017
ApproxDNN: Incentivizing DNN approximation in cloud
SM Nabavinejad, L Mashayekhy, S Reda
2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020
52020
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
52016
Communication-awareness for energy-efficiency in datacenters
SM Nabavinejad, M Goudarzi
Advances in Computers 100, 201-254, 2016
52016
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
42018
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
32022
BayesTuner: Leveraging Bayesian optimization for DNN inference configuration selection
SM Nabavinejad, S Reda
IEEE Computer Architecture Letters 20 (2), 166-170, 2021
32021
Opportunities of Renewable Energy Powered DNN Inference
SM Nabavinejad, T Guo
arXiv preprint arXiv:2306.12247, 2023
22023
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
22018
On the Impact of Device-Level Techniques on Energy-Efficiency of Neural Network Accelerators
SM Nabavinejad, B Salami
arXiv preprint arXiv:2106.14079, 2021
12021
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
12019
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
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