ABSTRACT
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.
- Dolphin Interconnect Solution PXH810 NTB Adapter, 2015.Google Scholar
- J. Duato, A. Pena, F. Silla, R. Mayo, and E. Quintana-Ortí. rCUDA: Reducing the number of GPU-based accelerators in high performance clusters. In Proc. of HPCS, pages 224--231, 2010.Google ScholarCross Ref
- L. B. Kristiansen, J. Markussen, H. K. Stensland, M. Riegler, H. Kohmann, F. Seifert, R. Nordstrøm, C. Griwodz, and P. Halvorsen. Device lending in PCI Express Networks. In Proc. of NOSSDAV, 2016. Google ScholarDigital Library
- NVIDIA Corporation. Developing a Linux Kernel Module using GPUDirect RDMA, 2015.Google Scholar
- PCI-SIG. PCI Express 3.1 Base Specification, 2010.Google Scholar
- K. Pogorelov, M. Riegler, P. Halvorsen, P. T. Schmidt, C. Griwodz, D. Johansen, S. L. Eskeland, and T. de Lange. GPU-accelerated real-time gastrointestinal diseases detection. In Proc. of CBMS, 2016.Google ScholarCross Ref
- M. Riegler, K. Pogorelov, P. Halvorsen, T. de Lange, C. Griwodz, P. T. Schmidt, S. L. Eskeland, and D. Johansen. EIR - efficient computer aided diagnosis framework for gastrointestinal endoscopies. In Proc. of CBMI, 2016.Google ScholarCross Ref
- M. Riegler, K. Pogorelov, J. Markussen, M. Lux, H. K. Stensland, T. de Lange, C. Griwodz, P. Halvorsen, D. Johansen, P. T. Schmidt, and S. L. Eskeland. Computer aided disease detection system for gastrointestinal examinations. In Proc. of MMSys, 2016. Google ScholarDigital Library
- Y. Wang, W. Tavanapong, J. Wong, J. Oh, and P. C. de Groen. Near real-time retroflexion detection in colonoscopy. IEEE BMHI, 17(1):143--152, 2013.Google Scholar
- Y. Wang, W. Tavanapong, J. Wong, J. H. Oh, and P. C. de Groen. Polyp-alert: Near real-time feedback during colonoscopy. CMPBM, 120(3):164--179, 2015. Google ScholarDigital Library
Index Terms
- Efficient processing of videos in a multi-auditory environment using device lending of GPUs
Recommendations
Computer aided disease detection system for gastrointestinal examinations
MMSys '16: Proceedings of the 7th International Conference on Multimedia SystemsIn this paper, we present the computer-aided diagnosis part of the EIR system [9], which can support medical experts in the task of detecting diseases and anatomical landmarks in the gastrointestinal (GI) system. This includes automatic detection of ...
A default risk model with multi-loan lending operations: a system of integral scale with scope
Recent research on multi-loan lending operations has remained largely silent on the question of what ties together the retail banking functions of scale and scope lending. Our main point is that in a sense, they are just two different manifestations of ...
Systemic Risk and Interbank Lending
We propose a simple model of the banking system incorporating a game feature, where the evolution of monetary reserve is modeled as a system of coupled Feller diffusions. The optimization reflects the desire of each bank to borrow from or lend to a ...
Comments