There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Until recently, there has been a lack of methods to trade-off energy use for quality of service at run-time in stand-alone embedded systems. Such systems are motivated by the need ...
Fast distributed cosimulation is a challenging problem for the embedded system design. The main theme of this paper is to increase simulation speed by reducing the frequency of in...
Soonhoi Ha, Sungchan Kim, Chan-Eun Rhee, Hyunguk J...
In this paper, we consider the problem of supporting fault tolerance for adaptive and time-critical applications in heterogeneous and unreliable grid computing environments. Our g...
Many parallel applications from scientific computing use MPI collective communication operations to collect or distribute data. Since the execution times of these communication op...