Data partitioning via high dimensional model representation by using paralel computing


Kanal E., Demiralp M.

7th WSEAS Int Conference on Microelectron, Nanoelectron, Optoelectron/1st WSEAS Int Conference on Multivariate Anal and Its Applicat in Sci and Engn, İstanbul, Turkey, 27 - 30 May 2008, pp.168-173 identifier

  • Publication Type: Conference Paper / Full Text
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.168-173

Abstract

The multivariate functions become plague of plethora when the number of their arguments increases to high values as much as 2 digits numbers, because of the limitations of today's computers. Instead of computer programming directly, the mathematically efficient multivariate function representations must be developed before attempting computer programming. One of those methods is "High Dimensional Model Representation (HDMR)"Even when these types of methods are applied on the multivariate functions, the solution cost of the modified problem after the application of the method is still complicated for a stand-alone computer. In that case, the parallel programming helps us. Our main goal of this work is to modify the method for parallel computing