In this paper, we present a demo that utilizes Device Lending via PCI Express (PCIe) in the context of a multi-auditory environment. Device Lending is a transparent, low-latency cross-machine PCIe device sharing mechanism without  any  the need for implementing application-specific distribution mechanisms. As workload, we use a computer-aided diagnosis system that is used to automatically find polyps and mark them for medical doctors during a colonoscopy. We choose this scenario because one of the main requirements is to perform the analysis in real-time. The demonstration consists of a setup of two computers that demonstrates how Device Lending can be used to improve performance, as well as its effect of providing the performance needed for real-time feedback. We also present a performance evaluation that shows its real-time capabilities of it.
['Konstantin Pogorelov', 'Michael Riegler', 'Jonas Markussen', 'Håkon Kvale Stensland', 'Pål Halvorsen', 'Carsten Griwodz', 'Sigrun Losada Eskeland', 'Thomas de Lange']
Efficient processing of videos in a multi-auditory environment using device lending of GPUs