The Data-Flow Graph (DFG) of a parallel application is frequently used to take scheduling decisions, based on the information that it models (dependencies among the tasks and volu...
Rafael Ennes Silva, Guilherme P. Pezzi, Nicolas Ma...
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
In this paper we describe Turtle, a peer-to-peer architecture for safe sharing of sensitive data. The truly revolutionary aspect of Turtle rests in its novel way of dealing with t...
Bogdan C. Popescu, Bruno Crispo, Andrew S. Tanenba...
We propose general purposes natural heuristics for static block and block-cyclic heterogeneous data decomposition over processes of parallel program mapped into multidimensional g...
We propose a modeling of the problem of privacy-compliant data publishing that captures confidentiality constraints on one side and visibility requirements on the other side. Con...
Sabrina De Capitani di Vimercati, Sara Foresti, Su...