Multipartitioning is a strategy for parallelizing computations that require solving 1D recurrences along each dimension of a multi-dimensional array. Previous techniques for multi...
Automated extraction of structured data from Web sources often leads to large heterogeneous knowledge bases (KB), with data and schema items numbering in the hundreds of thousands...
A scalable parallel solver is developed to simulate the Earth’s core convection. With the help from the “multiphysics” data structure and the restricted additive Schwarz prec...
Modeling and simulation frameworks for use in different application domains, throughout the complete development process, and in different hardware environments need to be highly ...
Jan Himmelspach, Roland Ewald, Adelinde M. Uhrmach...
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Superv...