5 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.PF2022★ 3 cited
Performance Characterization of AutoNUMA Memory Tiering on Graph Analytics
Diego Moura, Vinicius Petrucci, Daniel Mosse
Non-Volatile Memory (NVM) can deliver higher density and lower cost per bit when compared with DRAM. Its main drawback is that it is slower than DRAM. On the other hand, DRAM has s…
cs.LG2022★ 5 cited
Learning to Rank Graph-based Application Objects on Heterogeneous Memories
Diego Moura, Vinicius Petrucci, Daniel Mosse
Persistent Memory (PMEM), also known as Non-Volatile Memory (NVM), can deliver higher density and lower cost per bit when compared with DRAM. Its main drawback is that it is typica…
cs.CV2022★ 1 cited
Energy-Efficient Parking Analytics System using Deep Reinforcement Learning
Yoones Rezaei, Stephen Lee, Daniel Mosse
Advances in deep vision techniques and ubiquity of smart cameras will drive the next generation of video analytics. However, video analytics applications consume vast amounts of en…