Abstract. In this paper we present a scalable pointer analysis for embedded applications that is able to distinguish between instances of recursively defined data structures and e...
We consider the speed scaling problem of minimizing the average response time of a collection of dynamically released jobs subject to a constraint A on energy used. We propose an ...
Kirk Pruhs, Patchrawat Uthaisombut, Gerhard J. Woe...
Sharing has emerged as a key idea of static and adaptive stream query processing systems. Inherent in these systems is a tension between sharing common work and avoiding unnecessa...
Sailesh Krishnamurthy, Michael J. Franklin, Joseph...
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Given the rate of growth of the Web, scalability of search engines is a key issue, as the amount of hardware and network resources needed is large, and expensive. In addition, sea...