2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.DC2023
Throughput Maximization of DNN Inference: Batching or Multi-Tenancy?
Seyed Morteza Nabavinejad, Masoumeh Ebrahimi, Sherief Reda
Deployment of real-time ML services on warehouse-scale infrastructures is on the increase. Therefore, decreasing latency and increasing throughput of deep neural network (DNN) infe…
cs.DC2023★ 2 cited
Opportunities of Renewable Energy Powered DNN Inference
Seyed Morteza Nabavinejad, Tian Guo
With the proliferation of the adoption of renewable energy in powering data centers, addressing the challenges of such energy sources has attracted researchers from academia and in…
cs.DC2021★ 1 cited
On the Impact of Device-Level Techniques on Energy-Efficiency of Neural Network Accelerators
Seyed Morteza Nabavinejad, Behzad Salami
Energy-efficiency is a key concern for neural network applications. To alleviate this issue, hardware acceleration using FPGAs or GPUs can provide better energy-efficiency than gen…