Seyed Morteza Nabavinejad

According to our database, Seyed Morteza Nabavinejad authored at least 19 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Mobility-Aware Computation Offloading in Edge Computing Using Machine Learning.

Erfan Farhangi Maleki, Lena Mashayekhy, Seyed Morteza Nabavinejad

IEEE Trans. Mob. Comput., 2023

Throughput Maximization of DNN Inference: Batching or Multi-Tenancy?

Seyed Morteza Nabavinejad, Masoumeh Ebrahimi, Sherief Reda

CoRR, 2023

Opportunities of Renewable Energy Powered DNN Inference.

Seyed Morteza Nabavinejad, Tian Guo

CoRR, 2023

2022

Coordinated Batching and DVFS for DNN Inference on GPU Accelerators.

Seyed Morteza Nabavinejad, Sherief Reda, Masoumeh Ebrahimi

IEEE Trans. Parallel Distributed Syst., 2022

Inference Time Reduction of Deep Neural Networks on Embedded Devices: A Case Study.

Isma-Ilou Sadou, Seyed Morteza Nabavinejad, Zhonghai Lu, Masoumeh Ebrahimi

Proceedings of the 25th Euromicro Conference on Digital System Design, 2022

2021

Profit Maximization of Big Data Jobs in Cloud Using Stochastic Optimization.

Seyed Morteza Nabavinejad, Maziar Goudarzi

IEEE Trans. Cloud Comput., 2021

On the Impact of Device-Level Techniques on Energy-Efficiency of Neural Network Accelerators.

Seyed Morteza Nabavinejad, Behzad Salami

CoRR, 2021

BayesTuner: Leveraging Bayesian Optimization For DNN Inference Configuration Selection.

Seyed Morteza Nabavinejad, Sherief Reda

IEEE Comput. Archit. Lett., 2021

BatchSizer: Power-Performance Trade-off for DNN Inference.

Seyed Morteza Nabavinejad, Sherief Reda, Masoumeh Ebrahimi

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020

An Overview of Efficient Interconnection Networks for Deep Neural Network Accelerators.

Seyed Morteza Nabavinejad, Mohammad Baharloo, Kun-Chih Chen, Maurizio Palesi, Tim Kogel, Masoumeh Ebrahimi

IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

ApproxDNN: Incentivizing DNN Approximation in Cloud.

Seyed Morteza Nabavinejad, Lena Mashayekhy, Sherief Reda

Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019

Faster MapReduce Computation on Clouds Through Better Performance Estimation.

Seyed Morteza Nabavinejad, Maziar Goudarzi

IEEE Trans. Cloud Comput., 2019

Coordinated DVFS and Precision Control for Deep Neural Networks.

Seyed Morteza Nabavinejad, Hassan Hafez-Kolahi, Sherief Reda

IEEE Comput. Archit. Lett., 2019

2018

MapReduce service provisioning for frequent big data jobs on clouds considering data transfers.

Seyed Morteza Nabavinejad, Maziar Goudarzi, Saeed Abedi

Comput. Electr. Eng., 2018

Data locality and VM interference aware mitigation of data skew in hadoop leveraging modern portfolio theory.

Seyed Morteza Nabavinejad, Maziar Goudarzi

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

QoR-aware power capping for approximate big data processing.

Seyed Morteza Nabavinejad, Xin Zhan, Reza Azimi, Maziar Goudarzi, Sherief Reda

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2016

The Memory Challenge in Reduce Phase of MapReduce Applications.

Seyed Morteza Nabavinejad, Maziar Goudarzi, Shirin Mozaffari

IEEE Trans. Big Data, 2016

Communication-Awareness for Energy-Efficiency in Datacenters.

Seyed Morteza Nabavinejad, Maziar Goudarzi

Adv. Comput., 2016

Energy efficiency in cloud-based MapReduce applications through better performance estimation.

Seyed Morteza Nabavinejad, Maziar Goudarzi

Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016