A Parallel Matrix Scaling Algorithm
Patrick Amestoy (ENSEEIHT-IRIT)
Iain Duff (RAL and CERFACS)
Bora Ucar (CERFACS)
We recently proposed an iterative procedure which asymptotically scales the rows and columns of a given matrix to one in a given norm. In this work, we briefly mention some of the properties of that algorithm and discuss its efficient parallelization. We report on a parallel performance study of our implementation on a few computing environments.
Parallel and Distributed Computing, Numerical Algorithms for CS&E,
Toulouse | France | 2008 | June | 24  25  26  27