We describe and evaluate a new, pipelined algorithm for large, irregular all-gather problems. In the irregular all-gather problem each process in a set of processes contributes in...
Large scale compute clusters continue to grow to ever-increasing proportions. However, as clusters and applications continue to grow, the Mean Time Between Failures (MTBF) has redu...
Automatic grouping and segmentation of images remains a challenging problem in computer vision. Recently, a number of authors have demonstrated good performance on this task using...
In many cases, rather than a keyword search, people intend to see what is going on through the Internet. Then the integrated comprehensive information on news topics is necessary,...
In this paper, we present techniques for provisioning CPU and network resources in shared hosting platforms running potentially antagonistic third-party applications. The primary ...
Bhuvan Urgaonkar, Prashant J. Shenoy, Timothy Rosc...