With the increasing importance of energy consumption considerations and new requirements of emerging applications, in-network processing of information gains recognition as a viab...
Timely and cost-effective processing of large datasets has become a critical ingredient for the success of many academic, government, and industrial organizations. The combination...
Google's MapReduce programming model serves for processing large data sets in a massively parallel manner. We deliver the first rigorous description of the model including it...
Recent advancement in 3D digitization techniques have prompted to the need for 3D object retrieval. Our method of comparing 3D objects for retrieval is based on 3D morphing. It co...
In this paper, we study the problem of decomposing gates in fanin-unbounded or K-bounded networks such that the K-input LUT mapping solutions computed by a depthoptimal mapper hav...