It is known that in general, statistical analysis of interval data is an NP-hard problem: even computing the variance of interval data is, in general, NP-hard. Until now, only one ...
Gang Xiang, Scott A. Starks, Vladik Kreinovich, Lu...
Cache optimizations typically include code transformations to increase the locality of memory accesses. An orthogonal approach is to enable for latency hiding by introducing prefet...
Abstract. We consider parallel preconditioning schemes to accelerate the convergence of Conjugate Gradients (CG) for sparse linear system solution. We develop methods for construct...
Rational Krylov is an extension of the Lanczos or Arnoldi eigenvalue algorithm where several shifts (matrix factorizations) are used in one run. It corresponds to multipoint moment...
The AgentScape middleware is designed to support deployment of agent-based applications on Internet-scale distributed systems. With the design of AgentScape, three dimensions of sc...
GRID Application development is a hard task. Good applications should correctly use large distributed systems, whose infrastructure heavily affects the application performance. In ...