METHOD, SYSTEM, AND PRODUCT FOR PERFORMING UNIFORMLY FINE-GRAIN DATA PARALLEL COMPUTING

摘要

A method is disclosed that includes computing, using at least one uniformly fine-grain data parallel computing unit, a mean-square error regression within a regression clustering algorithm. The mean-square error regression is represented in the form of at least one summation of a vector-vector multiplication. A computer program product and a computer system are also disclosed.