This paper develops a technique that uniquely combines the advantages of static scheduling and dynamic scheduling to reduce the energy consumed in modern superscalar processors wi...
Writing parallel applications for computational grids is a challenging task. To achieve good performance, algorithms designed for local area networks must be adapted to the differ...
Thilo Kielmann, Rutger F. H. Hofman, Henri E. Bal,...
Abstract--This paper proposes an analytical model to estimate the cost of running an affinity-based thread schedule on multicore systems. The model consists of three submodels to e...
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
Scientists today conduct new research via software-based experimentation and validation in a host of disciplines, including materials science, life sciences, astronomy, and physic...
David Woollard, Chris Mattmann, Daniel Popescu, Ne...