Book Chapter
S.M. Nabavinejad, M. Goudarzi, “Communication-Awareness for Energy-Efficiency in Datacenters“
Advances in Computers, Volume 100, 2016
Journal
S.M. Nabavinejad, S. Reda, M. Ebrahimi, “Coordinated Batching and DVFS for DNN Inference on GPU Accelerators“
IEEE Transactions on Parallel and Distributed Systems, in press, 2022
S.M. Nabavinejad, S. Reda, “BayesTuner: Leveraging Bayesian Optimization For DNN Inference Configuration Selection“
IEEE Computer Architecture Letters, vol. 20, no. 2, pp. 166-170
E.F. Maleki, L. Mashayekhy, S.M. Nabavinejad, “Mobility-Aware Computation Offloading in Edge Computing using Machine Learning“
IEEE Transactions on Mobile Computing, in press, 2021
S.M. Nabavinejad, M. Baharloo, Kun-Chih Chen, M. Palesi, T. Kogel, M. Ebrahimi, “An Overview of Efficient Interconnection Networks for Deep Neural Network Accelerators“
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 10, no. 3, pp. 268-282
S.M. Nabavinejad, H. Hafez-Kolahi, S. Reda, “Coordinated DVFS and Precision Control for Deep Neural Networks“
IEEE Computer Architecture Letters, vol. 18, no. 2, pp. 136-140
S.M. Nabavinejad, M. Goudarzi, “Profit Maximization of Big Data Jobs in Cloud Using Stochastic Optimization“
IEEE Transactions on Cloud Computing, vol. 9, no. 4, pp. 1563-1574
S.M. Nabavinejad, M. Goudarzi, S. Abedi “MapReduce Service Provisioning for Frequent Big Data Jobs on Clouds Considering Data Transfers“
Journal of Computers and Electrical Engineering (CAEE), Volume 71, October 2018, Pages 594-610
S.M. Nabavinejad, M. Goudarzi, “Faster MapReduce Computation on Clouds through Better Performance Estimation“
IEEE Transactions on Cloud Computing, vol. 7, no. 3, pp. 770-783
S.M. Nabavinejad, M. Goudarzi, S. Mozaffari, “The Memory Challenge in Reduce Phase of MapReduce Applications“
IEEE Transactions on Big Data, vol. 2, no. 4, pp. 380-386
Conference
S.M. Nabavinejad, S. Reda, M. Ebrahimi, “BatchSizer: Power-Performance Trade-off for DNN Inference“
26th Asia and South Pacific Design Automation Conference (ASP-DAC’21)
S.M. Nabavinejad, L. Mashayekhy, S. Reda, “ApproxDNN: Incentivizing DNN Approximation in Cloud“
20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID’20)
S.M. Nabavinejad, M. Goudarzi, “Data Locality and VM Interference Aware Mitigation of Data Skew in Hadoop Leveraging Modern Portfolio Theory“
The 33rd ACM/SIGAPP Symposium On Applied Computing (SAC’18)
S.M. Nabavinejad, X. Zhan, R. Azimi, M. Goudarzi, S. Reda, “QoR-Aware Power Capping for Approximate Big Data Processing“
IEEE Design, Automation, & Test in Europe (DATE’18)
S. Nasehi, S.M. Nabavinejad, M. Goudarzi, “A Novel Key Partitioning Schema for Efficient Execution of MapReduce Applications“
The 19th CSI International Symposium on Computer Architecture & Digital Systems (CADS’17)
S.M. Nabavinejad, M. Goudarzi, “Energy Efficiency in Cloud-Based MapReduce Applications through Better Performance Estimation“
IEEE Design, Automation, & Test in Europe (DATE’16)