Using a cluster of commodity Alpha processors we compare two software platforms based on Linux and Windows NT and intended to support intensive scientic computations. Networking a...
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Pervasive computing introduces data management requirements that must be tackled in a growingvariety of lightweight computing devices. Personal folders on chip, networks of sensor...
This paper proposes a new server architecture EINIC (Enhanced Integrated NIC) for multi-core processors to tackle the mismatch between network speed and host computational capacit...
Guangdeng Liao, Laxmi N. Bhuyan, Danhua Guo, Steve...
The unit-norm constraint optimization for joint shortening of channel and echo impulse response is presented in this paper. The optimization is performed in the mean-square sense (...
Ali Enteshari, Jarir M. Fadlullah, Mohsen Kavehrad