This paper presents a highly efficient, fully parallelized implementation of the compact genetic algorithm (cGA) to solve very large scale problems with millions to billions of va...
Kumara Sastry, David E. Goldberg, Xavier Llor&agra...
We address the problem of providing privacypreserving search over distributed accesscontrolled content. Indexed documents can be easily reconstructed from conventional (inverted) ...
Mayank Bawa, Rakesh Agrawal, Roberto J. Bayardo Jr...
We show that it is feasible to perform interactive isosurfacing of very large rectilinear datasets with brute-force ray tracing on a conventional (distributed) shared-memory multi...
Steven G. Parker, Peter Shirley, Yarden Livnat, Ch...
Abstract. In this paper, the concept of computational environment for processing of very large datasets (clouds of points with amount up to 1011 measurement points) obtained from 3...
Across a wide variety of fields, huge datasets are being collected and accumulated at a dramatical pace. The datasets addressed by individual applications are very often heteroge...