Effective use of the memory hierarchy is critical for achieving high performance on embedded systems. We focus on the class of streaming applications, which is increasingly preval...
Janis Sermulins, William Thies, Rodric M. Rabbah, ...
In this paper, we develop a new language construct to address one of the pitfalls of parallel programming: precise handling of events across parallel components. The construct, te...
William Thies, Michal Karczmarek, Janis Sermulins,...
A distributed multimedia information system allows users to access data of different modalities, from different data sources, ranked by various combinationsof criteria. In [6], Fa...
Edward L. Wimmers, Laura M. Haas, Mary Tork Roth, ...
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...