Parallel and distributed programming is conceptually harder to undertake and to understand than sequential programming, because a programmer often has to manage the coexistence an...
Simulations, experiments and observatories are generating a deluge of scientific data. Even more staggering is the ever growing application demand to process and assimilate these...
Sudharshan S. Vazhkudai, Douglas Thain, Xiaosong M...
We examine applications of clustering to the filtering task. We use the on-line version of the star algorithm [JPR98, JPR99] as the clustering tool because this algorithm compute...
As the scale of cluster computing grows, it is becoming hard for long-running applications to complete without facing failures on large-scale clusters. To address this issue, chec...
Clusters of workstations are increasingly being viewed as a cost-e ective alternative to parallel supercomputers. However, resource management and scheduling on workstations clust...
Abdur Chowdhury, Lisa D. Nicklas, Sanjeev Setia, E...