We present an in-kernel disk prefetcher which uses speculative execution to determine what data an application is likely to require in the near future. By placing our design withi...
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
We present a new, real-time method for rendering soft shadows from large light sources or lighting environments on dynamic height fields. The method first computes a horizon map f...
Two important and not yet solved problems in bacterial genome research are the identification of horizontally transferred genes and the prediction of gene expression levels. Both ...
Peter Meinicke, Thomas Brodag, Wolfgang Florian Fr...
Load balancing is a critical issue for the efficient operation of peerto-peer networks. We give two new load-balancing protocols whose provable performance guarantees are within a...