Autotuning technology has emerged recently as a systematic process for evaluating alternative implementations of a computation, in order to select the best-performing solution for...
Jaewook Shin, Mary W. Hall, Jacqueline Chame, Chun...
We have developed a new approach for reliably multicasting timecritical data to heterogeneous clients over mesh-based overlay networks. To facilitate intelligent content pruning, ...
An essential building block for any Data Grid infrastructure is the storage server. In this paper we describe a high-performance cluster storage server built around the SDSC Stora...
We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The key hypothesis of multilingual learning is that by combining cues from multi...
Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, ...
In this work, the problem of scheduling packets with a group as opposed to an individual deadline is considered. Packets of the same group are supposed to belong in the same appli...