Abstract. Finite volume numerical methods have been widely studied, implemented and parallelized on multiprocessor systems or on clusters. Modern graphics processing units (GPU) pr...
This paper addresses the challenging problem of similarity search over widely distributed ultra-high dimensional data. Such an application is retrieval of the top-k most similar d...
Emerging fast, non-volatile memories (e.g., phase change memories, spin-torque MRAMs, and the memristor) reduce storage access latencies by an order of magnitude compared to state...
Adrian M. Caulfield, Todor I. Mollov, Louis Alex E...
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
Power densities have been increasing rapidly at all levels of server systems. To counter the high temperatures resulting from these densities, systems researchers have recently st...
Taliver Heath, Ana Paula Centeno, Pradeep George, ...