We describe results of a case study whose intent was to determine whether new techniques for hardware/software partitioning of an application’s binary are competitive with parti...
Greg Stitt, Frank Vahid, Gordon McGregor, Brian Ei...
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
We present an approach to prevent overtesting in scan-based delay test. The test data is transformed with respect to functional constraints while simultaneously keeping as many po...
We study the problem of offering publish/subscribe functionality on top of structured overlay networks using data models and languages from IR. We show how to achieve this by ext...
In this paper, we present a MAC-Iayer packet scheduling algorithm called BPA, for real-time switched Ethernet networks. BPA considers a message model where trans-node application-...