Data mining tasks such as supervised classification can often benefit from a large training dataset. However, in many application domains, privacy concerns can hinder the construc...
This paper shows how a state-of-the-art software distributed shared-memory (DSM) protocol can be efficiently extended to tolerate single-node failures. In particular, we extend a ...
A key challenge in achieving high performance on software DSM systems is overcoming their relatively large communication latencies. In this paper, we consider two techniques which...
- Processor scheduling in distributed-memory systems has received considerable attention in recent years. Several commercial distributed-memory systems use spacesharing processor s...
The vision of the Semantic Web is to make Web content machine-readable. To describe data, the Resource Description Framework has been extended with a schema-level and description ...