Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
As Data Grids become more commonplace, large data sets are being replicated and distributed to multiple sites, leading to the problem of determining which replica can be accessed ...
Sudharshan Vazhkudai, Jennifer M. Schopf, Ian T. F...
This paper studies an interesting yet less explored behavior of memory access instructions, called access region locality. Unlike the traditional temporal and spatial data localit...
The synthesis concept for dynamical system with the memory of multiple states defined with the quaternion algebra usage is considered. The system memorizes numerous configurations ...
Providing shared-memory abstraction in messagepassing systems often simplifies the development of distributed algorithms and allows for the reuse of sharedmemory algorithms in the...