Seyed Morteza Nabavinejad

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 19

Top Topics

Inference Problems

Top Venues

IEEE Comput. Archit. Lett.

IEEE Trans. Cloud Comput.

Publications

Erfan Farhangi Maleki, Lena Mashayekhy, Seyed Morteza Nabavinejad
Mobility-Aware Computation Offloading in Edge Computing Using Machine Learning. IEEE Trans. Mob. Comput. 22 (1) (2023)
Seyed Morteza Nabavinejad, Masoumeh Ebrahimi, Sherief Reda
Throughput Maximization of DNN Inference: Batching or Multi-Tenancy? CoRR (2023)
Seyed Morteza Nabavinejad, Tian Guo
Opportunities of Renewable Energy Powered DNN Inference. CoRR (2023)
Seyed Morteza Nabavinejad, Sherief Reda, Masoumeh Ebrahimi
Coordinated Batching and DVFS for DNN Inference on GPU Accelerators. IEEE Trans. Parallel Distributed Syst. 33 (10) (2022)
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)
Seyed Morteza Nabavinejad, Sherief Reda
BayesTuner: Leveraging Bayesian Optimization For DNN Inference Configuration Selection. IEEE Comput. Archit. Lett. 20 (2) (2021)
Seyed Morteza Nabavinejad, Maziar Goudarzi
Profit Maximization of Big Data Jobs in Cloud Using Stochastic Optimization. IEEE Trans. Cloud Comput. 9 (4) (2021)
Seyed Morteza Nabavinejad, Behzad Salami
On the Impact of Device-Level Techniques on Energy-Efficiency of Neural Network Accelerators. CoRR (2021)
Seyed Morteza Nabavinejad, Sherief Reda, Masoumeh Ebrahimi
BatchSizer: Power-Performance Trade-off for DNN Inference. ASP-DAC (2021)
Seyed Morteza Nabavinejad, Lena Mashayekhy, Sherief Reda
ApproxDNN: Incentivizing DNN Approximation in Cloud. CCGRID (2020)
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) (2020)
Seyed Morteza Nabavinejad, Hassan Hafez-Kolahi, Sherief Reda
Coordinated DVFS and Precision Control for Deep Neural Networks. IEEE Comput. Archit. Lett. 18 (2) (2019)
Seyed Morteza Nabavinejad, Maziar Goudarzi
Faster MapReduce Computation on Clouds Through Better Performance Estimation. IEEE Trans. Cloud Comput. 7 (3) (2019)
Seyed Morteza Nabavinejad, Maziar Goudarzi, Saeed Abedi
MapReduce service provisioning for frequent big data jobs on clouds considering data transfers. Comput. Electr. Eng. 71 (2018)
Seyed Morteza Nabavinejad, Maziar Goudarzi
Data locality and VM interference aware mitigation of data skew in hadoop leveraging modern portfolio theory. SAC (2018)
Seyed Morteza Nabavinejad, Xin Zhan, Reza Azimi, Maziar Goudarzi, Sherief Reda
QoR-aware power capping for approximate big data processing. DATE (2018)
Seyed Morteza Nabavinejad, Maziar Goudarzi, Shirin Mozaffari
The Memory Challenge in Reduce Phase of MapReduce Applications. IEEE Trans. Big Data 2 (4) (2016)
Seyed Morteza Nabavinejad, Maziar Goudarzi
Communication-Awareness for Energy-Efficiency in Datacenters. Adv. Comput. 100 (2016)
Seyed Morteza Nabavinejad, Maziar Goudarzi
Energy efficiency in cloud-based MapReduce applications through better performance estimation. DATE (2016)