Although run-time reconfigurable systems have been shown to achieve very high performance, the speedups over traditional microprocessor systems are limited by the cost of configuration of the hardware. In this paper, we explore the idea of configuration caching, and create some of the first cache management algorithms for reconfigurable systems. We present techniques to carefully manage the configurations present on the reconfigurable hardware throughout program execution. Through the use of the presented strategies, we show that the number of required reconfigurations is reduced, lowering the configuration overhead. We extend these techniques to a number of different FPGA programming models, and develop both lower bound and realistic caching algorithms for these structures. Our simulation results show about a factor of 5 overhead reduction can be achieved over the commercial FPGA structures.
Reactivation of latent CMV in transplant recipients remains a significant infectious complication of transplantation. Investigation of the cellular and molecular mechanisms by which reactivation occurs has been hampered by the lack of appropriate animal models. Here, we show that transplantation of kidneys latently infected with murine cytomegalovirus (MCMV) into NOD.Cg-Prkdc scid IL2rg tm1Wjl /Szj mice results in reactivation of latent virus in the kidney, resulting in a disseminated primary infection of the recipient. This model will be useful in elucidating mechanisms of MCMV reactivation, including the roles of injury and of spontaneous reactivation, and in testing new therapies for treatment and prevention of CMV reactivation and disease.
Content-based video retrieval technology holds the key to the efficient management and sharing of video content from different sources, in different scales, across different platforms, and over different communication channels. In this work fast video shot retrieval algorithms based on the geometry of video sequence traces in the principal component space are presented. Techniques to address scale (spatial and temporal) issues, in addition to noise and other possible distortions, such as frame dropping, are discussed. Experimental results demonstrate the effectiveness of the proposed approach.
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