A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
In this paper, we present a methodology for profiling parallel applications executing on the IBM PowerXCell 8i (commonly referred to as the “Cell” processor). Specifically, we...
Hikmet Dursun, Kevin J. Barker, Darren J. Kerbyson...
This paper presents a comprehensive statistical analysis of workloads collected on data-intensive clusters and Grids. The analysis is conducted at different levels, including Virt...
Clusters of SMPs are becoming increasingly common. However, the shared memory design of SMPs and the consequential contention between system processors for access to main memory c...
Abstract. In many real-world applications of evolutionary computation, it is essential to reduce the number of fitness evaluations. To this end, computationally efficient models c...