Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
— Memory-intensive applications present unique challenges to an ASIC designer in terms of the choice of memory organization, memory size requirements, bandwidth and access latenc...
Background: Increasing amounts of data from large scale whole genome analysis efforts demands convenient tools for manipulation, visualization and investigation. Whole genome plot...
Low disk throughput is one of the main impediments to improving the performance of data-intensive servers. In this paper, we propose two management techniques for the disk control...
— We describe the design and implementation of MOCCA, a distributed CCA framework implemented using the H2O metacomputing system. Motivated by the quest for appropriate metasyste...
Maciej Malawski, Dawid Kurzyniec, Vaidy S. Sundera...