178 citations · 1.1k across the 84 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.DC2023
Performance Characterization of Containerized DNN Training and Inference on Edge Accelerators
Prashanthi S. K., Vinayaka Hegde, Keerthana Patchava +2
Edge devices have typically been used for DNN inferencing. The increase in the compute power of accelerated edges is leading to their use in DNN training also. As privacy becomes a…
quant-ph2023★ 1 cited
Parallelizing Quantum-Classical Workloads: Profiling the Impact of Splitting Techniques
Tuhin Khare, Ritajit Majumdar, Rajiv Sangle +3
Quantum computers are the next evolution of computing hardware. Quantum devices are being exposed through the same familiar cloud platforms used for classical computers, and enabli…