Heterogeneous computing combines general purpose CPUs with accelerators to efficiently execute both sequential control-intensive and data-parallel phases of applications. Existin...
Isaac Gelado, Javier Cabezas, Nacho Navarro, John ...
Abstract: The work described in this article arises from two needs. First, there is still a need for providing more sophisticated database systems than just relational ones. Second...
Markus Kirchberg, Klaus-Dieter Schewe, Alexei Tret...
Privacy, preservation and performance (“3 P’s”) are central design objectives for distributed data management systems. However, these objectives tend to compete with one ano...
Although distributed object computing has developed rapidly over the past decade, and is now becoming commercially important, there remain key application areas inadequately suppo...
This paper is concerned with the design of goal-oriented scheduling policies that deal with multiple goals on production parallel systems. Several objective models are compared, i...