Our CUDA implementation with more than one GPU works on the same host.
All applications run on the same host.
Hypervisors provide a certain level of isolation between virtual machines running on the same host.
Having identical memory blocks belonging to different VM's on the same host or large blocks consisting of zero bytes entries.
However, virtual machines (VMs, or guests) on the same host computer may compete for shared resources, introducing undesirable latency.
They can use it as a gate to compromise other VM's on the same host with higher levels of security [129].
Additionally, LTSP does not utilize virtualization technology, rather it provides several minimal Linux and X windows environments on the same host computer.
As a result, virtual machines on the same host computer may interfere with each other without their knowledge, inducing invisible yet real latency.
In co-location attacks, an attacker aims at locating the host on which a target VM is deployed and placing his VM on the same host as the victim VM.
The results show that inherent redundancy in memory areas (like identical memory blocks belonging to different VM's on the same host or large blocks consisting of zero byte entries) to get high compression ratios.
However, each herbivore group responded differently to the landscape context and had contrasting effects on the same host plant, demonstrating the difficulty to predict landscape effects on plant growth.
