It is now well established that the device scaling predicted by Moore’s Law is no longer a viable option for increasing the clock frequency of future uniprocessor systems at the...
Philippe Charles, Christian Grothoff, Vijay A. Sar...
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
While Moore’s Law predicts the ability of semi-conductor industry to engineer smaller and more efficient transistors and circuits, there are serious issues not contemplated in t...
Javier Carretero, Pedro Chaparro, Xavier Vera, Jau...
Hash table is used as one of the fundamental modules in several network processing algorithms and applications such as route lookup, packet classification, per-flow state manage...
Haoyu Song, Sarang Dharmapurikar, Jonathan S. Turn...