Programming models that support code migration have gained prominence, mainly due to a widespread shift from stand-alone to distributed applications. Although appealing in terms o...
Brant Hashii, Scott Malabarba, Raju Pandey, Matt B...
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Abstract. In this paper, we present Chapar, an event system designed for mobile ad hoc networks that supports the publish-subscribe model as well as pointto-point and point-to-mult...
Data coming from complex simulation models reach easily dimensions much greater than available computational resources. Visualization of such data still represents the most intuit...
This paper describes an infrastructure that enables transparent development of image processing software for parallel computers. The infrastructure’s main component is an image ...