We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
Interactive graphics applications have long been challenging graphics system designers by demanding machines that can provide ever increasing polygon rendering performance. Anothe...
We address the design of algorithms for multicores that are oblivious to machine parameters. We propose HM, a multicore model consisting of a parallel shared-memory machine with hi...
Rezaul Alam Chowdhury, Francesco Silvestri, Brando...
In this paper we show the power of sampling techniques in designing efficient distributed algorithms. In particular, we show that using sampling techniques, on some networks, sele...
Clustering is an important characteristic of most sensor applications. In this paper we define COSMOS, the Cluster-based, heterOgeneouS MOdel for Sensor networks. The model assum...