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ORCIDSeyed Morteza Nabavinejad
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2020 – today
- 2024
[c7]Seyed Morteza Nabavinejad, Sherief Reda, Tian Guo:
MediatorDNN: Contention Mitigation for Co-Located DNN Inference Jobs. CLOUD 2024: 502-512- 2023
- [j10]Erfan Farhangi Maleki, Lena Mashayekhy
, Seyed Morteza Nabavinejad:
Mobility-Aware Computation Offloading in Edge Computing Using Machine Learning. IEEE Trans. Mob. Comput. 22(1): 328-340 (2023) - [i3]Seyed Morteza Nabavinejad, Tian Guo:
Opportunities of Renewable Energy Powered DNN Inference. CoRR abs/2306.12247 (2023) - [i2]Seyed Morteza Nabavinejad, Masoumeh Ebrahimi, Sherief Reda:
Throughput Maximization of DNN Inference: Batching or Multi-Tenancy? CoRR abs/2308.13803 (2023) - 2022
- [j9]Seyed Morteza Nabavinejad, Sherief Reda, Masoumeh Ebrahimi:
Coordinated Batching and DVFS for DNN Inference on GPU Accelerators. IEEE Trans. Parallel Distributed Syst. 33(10): 2496-2508 (2022) - [c6]Isma-Ilou Sadou, Seyed Morteza Nabavinejad, Zhonghai Lu, Masoumeh Ebrahimi:
Inference Time Reduction of Deep Neural Networks on Embedded Devices: A Case Study. DSD 2022: 205-213 - 2021
- [j8]Seyed Morteza Nabavinejad, Sherief Reda:
BayesTuner: Leveraging Bayesian Optimization For DNN Inference Configuration Selection. IEEE Comput. Archit. Lett. 20(2): 166-170 (2021) - [j7]Seyed Morteza Nabavinejad, Maziar Goudarzi:
Profit Maximization of Big Data Jobs in Cloud Using Stochastic Optimization. IEEE Trans. Cloud Comput. 9(4): 1563-1574 (2021) - [c5]Seyed Morteza Nabavinejad, Sherief Reda, Masoumeh Ebrahimi:
BatchSizer: Power-Performance Trade-off for DNN Inference. ASP-DAC 2021: 819-824 - [i1]Seyed Morteza Nabavinejad, Behzad Salami:
On the Impact of Device-Level Techniques on Energy-Efficiency of Neural Network Accelerators. CoRR abs/2106.14079 (2021) - 2020
- [j6]Seyed Morteza Nabavinejad, Mohammad Baharloo, Kun-Chih Chen, Maurizio Palesi, Tim Kogel, Masoumeh Ebrahimi:
An Overview of Efficient Interconnection Networks for Deep Neural Network Accelerators. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(3): 268-282 (2020) - [c4]Seyed Morteza Nabavinejad, Lena Mashayekhy, Sherief Reda:
ApproxDNN: Incentivizing DNN Approximation in Cloud. CCGRID 2020: 639-648
2010 – 2019
- 2019
- [j5]Seyed Morteza Nabavinejad, Hassan Hafez-Kolahi, Sherief Reda:
Coordinated DVFS and Precision Control for Deep Neural Networks. IEEE Comput. Archit. Lett. 18(2): 136-140 (2019) - [j4]Seyed Morteza Nabavinejad, Maziar Goudarzi:
Faster MapReduce Computation on Clouds Through Better Performance Estimation. IEEE Trans. Cloud Comput. 7(3): 770-783 (2019) - 2018
- [j3]Seyed Morteza Nabavinejad, Maziar Goudarzi, Saeed Abedi:
MapReduce service provisioning for frequent big data jobs on clouds considering data transfers. Comput. Electr. Eng. 71: 594-610 (2018) - [c3]Seyed Morteza Nabavinejad, Xin Zhan, Reza Azimi, Maziar Goudarzi, Sherief Reda:
QoR-aware power capping for approximate big data processing. DATE 2018: 253-256 - [c2]Seyed Morteza Nabavinejad, Maziar Goudarzi:
Data locality and VM interference aware mitigation of data skew in hadoop leveraging modern portfolio theory. SAC 2018: 175-182 - 2016
- [j2]Seyed Morteza Nabavinejad, Maziar Goudarzi:
Communication-Awareness for Energy-Efficiency in Datacenters. Adv. Comput. 100: 201-254 (2016) - [j1]Seyed Morteza Nabavinejad, Maziar Goudarzi, Shirin Mozaffari:
The Memory Challenge in Reduce Phase of MapReduce Applications. IEEE Trans. Big Data 2(4): 380-386 (2016) - [c1]Seyed Morteza Nabavinejad, Maziar Goudarzi:
Energy efficiency in cloud-based MapReduce applications through better performance estimation. DATE 2016: 1339-1344
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