Traditional collective communication algorithms are designed with the assumption that a node can communicate with only one other node at a time. On new parallel architectures such...
Ernie Chan, Robert A. van de Geijn, William Gropp,...
Kernel-based learning (e.g., Support Vector Machines) has been successfully applied to many hard problems in Natural Language Processing (NLP). In NLP, although feature combinatio...
Little work to date in sentiment analysis (classifying texts by ‘positive’ or ‘negative’ orientation) has attempted to use fine-grained semantic distinctions in features ...
The goal of the PADS project, which started in 2001, is to make it easier for data analysts to extract useful information from ad hoc data files. This paper does not report new r...
Traditional data structure designs, whether lock-based or lock-free, provide parallelism via fine grained synchronization among threads. We introduce a new synchronization paradi...
Danny Hendler, Itai Incze, Nir Shavit, Moran Tzafr...