Edge guided single depth image super resolution
Jun Xie, Rogerio Schmidt Feris, et al.
ICIP 2014
Virtualization is a prominent technology used in data centers around the world. While many kinds of workloads can run at near-native performance even when virtualized, I/O intensive workloads still suffer from high overhead precluding the use of virtualization in many applications. In this paper we tackle the problem of improving the performance of paravirtual I/O. We propose an exitless paravirtual I/O model, under which guests and the hypervisor, running on distinct cores, exchange exitless notifications instead of costly exit-based notifications. Our initial proof of concept improved throughput by 45% and latency by 25μsec compared to a traditional network paravirtual I/O model. We show that a single hypervisor I/O core can become saturated when serving multiple I/O intensive guests, and further research is required to improve scalability in this scenario. © 2012 ACM.
Jun Xie, Rogerio Schmidt Feris, et al.
ICIP 2014
Ritendra Datta, Jianying Hu, et al.
ICPR 2008
Eugene H. Ratzlaff
ICDAR 2001
Srideepika Jayaraman, Chandra Reddy, et al.
Big Data 2021