From Sylvester's determinant identity to Cramer's rule
  The object of this paper is to introduce a new and fascinating method of solving large linear equations, based on Cramer's rule or Gaussian elimination but employing Sylvester's determinant identity in its computation process. In addition, a scheme suitable for parallel computing is presented for this kind of generalized Chi\`{o}'s determinant condensation processes, which makes this new method have a property of natural parallelism. Finally, some numerical experiments also confirm our theoretical analysis. 
Hou-biao Li, Ting-Zhu Huang, Tong-xiang Gu, Xing-Ping Liu
math.NA