Notice of Violation of IEEE Publication PrinciplesA New Parallel Gauss-Seidel Method by Iteration Space Alternate Tiling

Notice of Violation of IEEE Publication Principles

"A New Parallel Gauss-Seidel Method by Iteration Space Alternate Tiling,"
by Changjun Hu, Jilin Zhang, Jue Wang, Jianjiang Li, and Liang Ding,
in the Proceedings of the 16th International Conference on Parallel Architecture and Compilation Techniques, 2007 (PACT 2007) pp.410

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.

This paper contains portions of original text from the papers cited below. The original text was copied without attribution.

"A New Parallel Gauss-Seidel Method Based on Alternating Group Explicit Method and Domain Decomposition Method,"
by Rohallah Tavakoli and Parviz Davami
in Applied Mathematics and Computation, 188(1), pp. 713-719, Elsevier, May 2007To take advantage of the supercomputing resource with multiple processors, several parallel versions of the Gauss-Seidel (SOR) method have been proposed. In the present study, a new parallel Gauss-Seidel algorithm is developed based on domain decomposition and convergence iteration space alternate tiling method for solution of system of linear equations related to finite difference discretization of partial differential equations. The goal of this method is to improve three different performance aspects: inter-iteration data locality, intra-iteration data locality and parallelism. Intra-iteration locality refers to cache locality upon data reuse within convergence iteration, and inter-iteration locality refers to cache locality upon data reuse between convergence iterations.