As the thermal wall becomes the dominant factor limiting VLSI circuit performance, and the interconnect wires become the primary power consumer, power efficiency of onchip data th...
Renshen Wang, Evangeline F. Y. Young, Ronald L. Gr...
: Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...
Abstract Parallel asynchronous iterative algorithms relax synchronization and communication requirements, and can potentially extend Desktop Grids beyond embarrassingly parallel ap...
The BMI Eigenvalue Problem is one of optimization problems and is to minimize the greatest eigenvalue of a bilinear matrix function. This paper proposes a parallel algorithm to co...
Dynamic programming is an important algorithm design technique in computational biology and scientific computing. Typical applications using this technique are very compute-intens...