On-line decision making often involves query processing over time-varying data which arrives in the form of data streams from distributed locations. In such environments typically...
Commercial tools for standard-cell based datapath design are here classed according to design flows, and the advantages of each class are discussed with the results of two test ci...
This paper presents the Pure/Epos approach to deal with the high complexity of adaptable operating systems and also to diminish the distance between application and operating syste...
An effort to formalize the process of software pipelining loops with conditions is presented in this paper. A formal framework for scheduling such loops, based on representing set...
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...