Social image tag refinement, which aims to improve tag quality by automatically completing
the missing tags and rectifying the noise-corrupted ones, is an essential component for …

We address the issue of implementing matrix multiplication on heterogeneous platforms. We
target two different classes of heterogeneous computing resources: heterogeneous …

In this paper, we address the problem of optimal distribution of computational tasks on a
network of heterogeneous computers when one or more tasks do not fit into the main …

The authors study the implementation of dense linear algebra kernels, such as matrix
multiplication or linear system solvers, on heterogeneous networks of workstations. The …

We consider the mapping of iterative algorithms onto heterogeneous clusters. The
application data is partitioned over the processors, which are arranged along a virtual ring …

Summary form only given. The article presents a performance model of a network of
heterogeneous computers that takes account of the heterogeneity of memory structure and …

Energy saving is one of the most important issues in wireless mobile computing. Among
others, one viable approach to achieving energy saving is to use an indexed data …

Differential privacy has been a common framework that provides an effective method of
establishing privacy-guaranteed machine learning. Extensive research work has focused on …

A model for the computational cost of the finite-difference time-domain (FDTD) method
irrespective of implementation details or the application domain is given. The model is used …

Heterogeneous supercomputers with combined general-purpose and accelerated CPUs
promise to be the future major architecture due to their wide-ranging generality and superior …