Process skew is an important factor in the performance of parallel applications, especially in large-scale clusters. Reduction is a common collective operation which, by its natur...
Adam Wagner, Darius Buntinas, Dhabaleswar K. Panda...
—Algorithmic enhancements are described that enable large computational reduction in mean square-error data clustering. These improvements are incorporated into a parallel data-c...
The memory overhead introduced by directories constitutes a major hurdle in the scalability of cc-NUMA architectures, which makes the shared-memory paradigm unfeasible for very la...
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Random Indexing K-tree is the combination of two algorithms suited for large scale document clustering. Keywords Random Indexing, K-tree, Dimensionality Reduction, B-tree, Search T...
Christopher M. De Vries, Lance De Vine, Shlomo Gev...