Seyed Morteza Nabavinejad

Orcid: 0000-0002-5123-6318

According to our database1, Seyed Morteza Nabavinejad authored at least 21 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
FairCIM: Fair Interference Mitigation by DNN Switching for Latency-Sensitive Inference Jobs.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2024

MediatorDNN: Contention Mitigation for Co-Located DNN Inference Jobs.
Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023
Mobility-Aware Computation Offloading in Edge Computing Using Machine Learning.
IEEE Trans. Mob. Comput., 2023

Throughput Maximization of DNN Inference: Batching or Multi-Tenancy?
CoRR, 2023

Opportunities of Renewable Energy Powered DNN Inference.
CoRR, 2023

2022
Coordinated Batching and DVFS for DNN Inference on GPU Accelerators.
IEEE Trans. Parallel Distributed Syst., 2022

Inference Time Reduction of Deep Neural Networks on Embedded Devices: A Case Study.
Proceedings of the 25th Euromicro Conference on Digital System Design, 2022

2021
Profit Maximization of Big Data Jobs in Cloud Using Stochastic Optimization.
IEEE Trans. Cloud Comput., 2021

On the Impact of Device-Level Techniques on Energy-Efficiency of Neural Network Accelerators.
CoRR, 2021

BayesTuner: Leveraging Bayesian Optimization For DNN Inference Configuration Selection.
IEEE Comput. Archit. Lett., 2021

BatchSizer: Power-Performance Trade-off for DNN Inference.
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.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

ApproxDNN: Incentivizing DNN Approximation in Cloud.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019
Faster MapReduce Computation on Clouds Through Better Performance Estimation.
IEEE Trans. Cloud Comput., 2019

Coordinated DVFS and Precision Control for Deep Neural Networks.
IEEE Comput. Archit. Lett., 2019

2018
MapReduce service provisioning for frequent big data jobs on clouds considering data transfers.
Comput. Electr. Eng., 2018

Data locality and VM interference aware mitigation of data skew in hadoop leveraging modern portfolio theory.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

QoR-aware power capping for approximate big data processing.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2016
The Memory Challenge in Reduce Phase of MapReduce Applications.
IEEE Trans. Big Data, 2016

Communication-Awareness for Energy-Efficiency in Datacenters.
Adv. Comput., 2016

Energy efficiency in cloud-based MapReduce applications through better performance estimation.
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016


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