Grid and distributed computing environments are evolving rapidly and driving the development of system and network technologies. The design of applications has placed an increased...
The Knowledge Discovery Toolbox (KDT) enables domain experts to perform complex analyses of huge datasets on supercomputers using a high-level language without grappling with the ...
FPGAs have been used in many applications to achieve orders-of-magnitude improvement in absolute performance and energy efficiency relative to conventional microprocessors. Despit...
The demand for an efficient fault tolerance system has led to the development of complex monitoring infrastructure, which in turn has created an overwhelming task of data and even...
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...